WorldWideScience

Sample records for biomedical literature search

  1. BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical Literature.

    Directory of Open Access Journals (Sweden)

    Sunwon Lee

    Full Text Available As the volume of publications rapidly increases, searching for relevant information from the literature becomes more challenging. To complement standard search engines such as PubMed, it is desirable to have an advanced search tool that directly returns relevant biomedical entities such as targets, drugs, and mutations rather than a long list of articles. Some existing tools submit a query to PubMed and process retrieved abstracts to extract information at query time, resulting in a slow response time and limited coverage of only a fraction of the PubMed corpus. Other tools preprocess the PubMed corpus to speed up the response time; however, they are not constantly updated, and thus produce outdated results. Further, most existing tools cannot process sophisticated queries such as searches for mutations that co-occur with query terms in the literature. To address these problems, we introduce BEST, a biomedical entity search tool. BEST returns, as a result, a list of 10 different types of biomedical entities including genes, diseases, drugs, targets, transcription factors, miRNAs, and mutations that are relevant to a user's query. To the best of our knowledge, BEST is the only system that processes free text queries and returns up-to-date results in real time including mutation information in the results. BEST is freely accessible at http://best.korea.ac.kr.

  2. Searching the online biomedical literature from developing countries

    African Journals Online (AJOL)

    Administrator

    These literature retrieval methods include the use of the popular. PubMed as well as internet search engines. Specific websites catering to developing countries' information and journals' websites are also highlighted. Key words: Research information, retrieval methods, internet, search engines, PubMed. INTRODUCTION.

  3. Searching the online biomedical literature from developing countries ...

    African Journals Online (AJOL)

    This commentary highlights popular research literature databases and the use of the internet to obtain valuable research information. These literature retrieval methods include the use of the popular PubMed as well as internet search engines. Specific websites catering to developing countries' information and journals' ...

  4. SciRide Finder: a citation-based paradigm in biomedical literature search.

    Science.gov (United States)

    Volanakis, Adam; Krawczyk, Konrad

    2018-04-18

    There are more than 26 million peer-reviewed biomedical research items according to Medline/PubMed. This breadth of information is indicative of the progress in biomedical sciences on one hand, but an overload for scientists performing literature searches on the other. A major portion of scientific literature search is to find statements, numbers and protocols that can be cited to build an evidence-based narrative for a new manuscript. Because science builds on prior knowledge, such information has likely been written out and cited in an older manuscript. Thus, Cited Statements, pieces of text from scientific literature supported by citing other peer-reviewed publications, carry significant amount of condensed information on prior art. Based on this principle, we propose a literature search service, SciRide Finder (finder.sciride.org), which constrains the search corpus to such Cited Statements only. We demonstrate that Cited Statements can carry different information to this found in titles/abstracts and full text, giving access to alternative literature search results than traditional search engines. We further show how presenting search results as a list of Cited Statements allows researchers to easily find information to build an evidence-based narrative for their own manuscripts.

  5. Textpresso Central: a customizable platform for searching, text mining, viewing, and curating biomedical literature.

    Science.gov (United States)

    Müller, H-M; Van Auken, K M; Li, Y; Sternberg, P W

    2018-03-09

    The biomedical literature continues to grow at a rapid pace, making the challenge of knowledge retrieval and extraction ever greater. Tools that provide a means to search and mine the full text of literature thus represent an important way by which the efficiency of these processes can be improved. We describe the next generation of the Textpresso information retrieval system, Textpresso Central (TPC). TPC builds on the strengths of the original system by expanding the full text corpus to include the PubMed Central Open Access Subset (PMC OA), as well as the WormBase C. elegans bibliography. In addition, TPC allows users to create a customized corpus by uploading and processing documents of their choosing. TPC is UIMA compliant, to facilitate compatibility with external processing modules, and takes advantage of Lucene indexing and search technology for efficient handling of millions of full text documents. Like Textpresso, TPC searches can be performed using keywords and/or categories (semantically related groups of terms), but to provide better context for interpreting and validating queries, search results may now be viewed as highlighted passages in the context of full text. To facilitate biocuration efforts, TPC also allows users to select text spans from the full text and annotate them, create customized curation forms for any data type, and send resulting annotations to external curation databases. As an example of such a curation form, we describe integration of TPC with the Noctua curation tool developed by the Gene Ontology (GO) Consortium. Textpresso Central is an online literature search and curation platform that enables biocurators and biomedical researchers to search and mine the full text of literature by integrating keyword and category searches with viewing search results in the context of the full text. It also allows users to create customized curation interfaces, use those interfaces to make annotations linked to supporting evidence statements

  6. An overview of biomedical literature search on the World Wide Web in the third millennium.

    Science.gov (United States)

    Kumar, Prince; Goel, Roshni; Jain, Chandni; Kumar, Ashish; Parashar, Abhishek; Gond, Ajay Ratan

    2012-06-01

    Complete access to the existing pool of biomedical literature and the ability to "hit" upon the exact information of the relevant specialty are becoming essential elements of academic and clinical expertise. With the rapid expansion of the literature database, it is almost impossible to keep up to date with every innovation. Using the Internet, however, most people can freely access this literature at any time, from almost anywhere. This paper highlights the use of the Internet in obtaining valuable biomedical research information, which is mostly available from journals, databases, textbooks and e-journals in the form of web pages, text materials, images, and so on. The authors present an overview of web-based resources for biomedical researchers, providing information about Internet search engines (e.g., Google), web-based bibliographic databases (e.g., PubMed, IndMed) and how to use them, and other online biomedical resources that can assist clinicians in reaching well-informed clinical decisions.

  7. PubMed and beyond: a survey of web tools for searching biomedical literature.

    Science.gov (United States)

    Lu, Zhiyong

    2011-01-01

    The past decade has witnessed the modern advances of high-throughput technology and rapid growth of research capacity in producing large-scale biological data, both of which were concomitant with an exponential growth of biomedical literature. This wealth of scholarly knowledge is of significant importance for researchers in making scientific discoveries and healthcare professionals in managing health-related matters. However, the acquisition of such information is becoming increasingly difficult due to its large volume and rapid growth. In response, the National Center for Biotechnology Information (NCBI) is continuously making changes to its PubMed Web service for improvement. Meanwhile, different entities have devoted themselves to developing Web tools for helping users quickly and efficiently search and retrieve relevant publications. These practices, together with maturity in the field of text mining, have led to an increase in the number and quality of various Web tools that provide comparable literature search service to PubMed. In this study, we review 28 such tools, highlight their respective innovations, compare them to the PubMed system and one another, and discuss directions for future development. Furthermore, we have built a website dedicated to tracking existing systems and future advances in the field of biomedical literature search. Taken together, our work serves information seekers in choosing tools for their needs and service providers and developers in keeping current in the field. Database URL: http://www.ncbi.nlm.nih.gov/CBBresearch/Lu/search.

  8. BIOMedical Search Engine Framework: Lightweight and customized implementation of domain-specific biomedical search engines.

    Science.gov (United States)

    Jácome, Alberto G; Fdez-Riverola, Florentino; Lourenço, Anália

    2016-07-01

    Text mining and semantic analysis approaches can be applied to the construction of biomedical domain-specific search engines and provide an attractive alternative to create personalized and enhanced search experiences. Therefore, this work introduces the new open-source BIOMedical Search Engine Framework for the fast and lightweight development of domain-specific search engines. The rationale behind this framework is to incorporate core features typically available in search engine frameworks with flexible and extensible technologies to retrieve biomedical documents, annotate meaningful domain concepts, and develop highly customized Web search interfaces. The BIOMedical Search Engine Framework integrates taggers for major biomedical concepts, such as diseases, drugs, genes, proteins, compounds and organisms, and enables the use of domain-specific controlled vocabulary. Technologies from the Typesafe Reactive Platform, the AngularJS JavaScript framework and the Bootstrap HTML/CSS framework support the customization of the domain-oriented search application. Moreover, the RESTful API of the BIOMedical Search Engine Framework allows the integration of the search engine into existing systems or a complete web interface personalization. The construction of the Smart Drug Search is described as proof-of-concept of the BIOMedical Search Engine Framework. This public search engine catalogs scientific literature about antimicrobial resistance, microbial virulence and topics alike. The keyword-based queries of the users are transformed into concepts and search results are presented and ranked accordingly. The semantic graph view portraits all the concepts found in the results, and the researcher may look into the relevance of different concepts, the strength of direct relations, and non-trivial, indirect relations. The number of occurrences of the concept shows its importance to the query, and the frequency of concept co-occurrence is indicative of biological relations

  9. Accessing Biomedical Literature in the Current Information Landscape

    OpenAIRE

    Khare, Ritu; Leaman, Robert; Lu, Zhiyong

    2014-01-01

    Biomedical and life sciences literature is unique because of its exponentially increasing volume and interdisciplinary nature. Biomedical literature access is essential for several types of users including biomedical researchers, clinicians, database curators, and bibliometricians. In the past few decades, several online search tools and literature archives, generic as well as biomedicine-specific, have been developed. We present this chapter in the light of three consecutive steps of literat...

  10. Accessing biomedical literature in the current information landscape.

    Science.gov (United States)

    Khare, Ritu; Leaman, Robert; Lu, Zhiyong

    2014-01-01

    Biomedical and life sciences literature is unique because of its exponentially increasing volume and interdisciplinary nature. Biomedical literature access is essential for several types of users including biomedical researchers, clinicians, database curators, and bibliometricians. In the past few decades, several online search tools and literature archives, generic as well as biomedicine specific, have been developed. We present this chapter in the light of three consecutive steps of literature access: searching for citations, retrieving full text, and viewing the article. The first section presents the current state of practice of biomedical literature access, including an analysis of the search tools most frequently used by the users, including PubMed, Google Scholar, Web of Science, Scopus, and Embase, and a study on biomedical literature archives such as PubMed Central. The next section describes current research and the state-of-the-art systems motivated by the challenges a user faces during query formulation and interpretation of search results. The research solutions are classified into five key areas related to text and data mining, text similarity search, semantic search, query support, relevance ranking, and clustering results. Finally, the last section describes some predicted future trends for improving biomedical literature access, such as searching and reading articles on portable devices, and adoption of the open access policy.

  11. Biomedical Literature Exploration through Latent Semantics

    Directory of Open Access Journals (Sweden)

    Hugo ARAÚJO

    2013-08-01

    Full Text Available The fast increasing amount of articles published in the biomedical field is creating difficulties in the way this wealth of information can be efficiently exploited by researchers. As a way of overcoming these limitations and potentiating a more efficient use of the literature, we propose an approach for structuring the results of a literature search based on the latent semantic information extracted from a corpus. Moreover, we show how the results of the Latent Semantic Analysis method can be adapted so as to evidence differences between results of different searches. We also propose different visualization techniques that can be applied to explore these results. Used in combination, these techniques could empower users with tools for literature guided knowledge exploration and discovery.

  12. Extracting semantically enriched events from biomedical literature

    Directory of Open Access Journals (Sweden)

    Miwa Makoto

    2012-05-01

    Full Text Available Abstract Background Research into event-based text mining from the biomedical literature has been growing in popularity to facilitate the development of advanced biomedical text mining systems. Such technology permits advanced search, which goes beyond document or sentence-based retrieval. However, existing event-based systems typically ignore additional information within the textual context of events that can determine, amongst other things, whether an event represents a fact, hypothesis, experimental result or analysis of results, whether it describes new or previously reported knowledge, and whether it is speculated or negated. We refer to such contextual information as meta-knowledge. The automatic recognition of such information can permit the training of systems allowing finer-grained searching of events according to the meta-knowledge that is associated with them. Results Based on a corpus of 1,000 MEDLINE abstracts, fully manually annotated with both events and associated meta-knowledge, we have constructed a machine learning-based system that automatically assigns meta-knowledge information to events. This system has been integrated into EventMine, a state-of-the-art event extraction system, in order to create a more advanced system (EventMine-MK that not only extracts events from text automatically, but also assigns five different types of meta-knowledge to these events. The meta-knowledge assignment module of EventMine-MK performs with macro-averaged F-scores in the range of 57-87% on the BioNLP’09 Shared Task corpus. EventMine-MK has been evaluated on the BioNLP’09 Shared Task subtask of detecting negated and speculated events. Our results show that EventMine-MK can outperform other state-of-the-art systems that participated in this task. Conclusions We have constructed the first practical system that extracts both events and associated, detailed meta-knowledge information from biomedical literature. The automatically assigned

  13. Building and evaluating an informatics tool to facilitate analysis of a biomedical literature search service in an academic medical center library.

    Science.gov (United States)

    Hinton, Elizabeth G; Oelschlegel, Sandra; Vaughn, Cynthia J; Lindsay, J Michael; Hurst, Sachiko M; Earl, Martha

    2013-01-01

    This study utilizes an informatics tool to analyze a robust literature search service in an academic medical center library. Structured interviews with librarians were conducted focusing on the benefits of such a tool, expectations for performance, and visual layout preferences. The resulting application utilizes Microsoft SQL Server and .Net Framework 3.5 technologies, allowing for the use of a web interface. Customer tables and MeSH terms are included. The National Library of Medicine MeSH database and entry terms for each heading are incorporated, resulting in functionality similar to searching the MeSH database through PubMed. Data reports will facilitate analysis of the search service.

  14. Olelo: a web application for intuitive exploration of biomedical literature.

    Science.gov (United States)

    Kraus, Milena; Niedermeier, Julian; Jankrift, Marcel; Tietböhl, Sören; Stachewicz, Toni; Folkerts, Hendrik; Uflacker, Matthias; Neves, Mariana

    2017-07-03

    Researchers usually query the large biomedical literature in PubMed via keywords, logical operators and filters, none of which is very intuitive. Question answering systems are an alternative to keyword searches. They allow questions in natural language as input and results reflect the given type of question, such as short answers and summaries. Few of those systems are available online but they experience drawbacks in terms of long response times and they support a limited amount of question and result types. Additionally, user interfaces are usually restricted to only displaying the retrieved information. For our Olelo web application, we combined biomedical literature and terminologies in a fast in-memory database to enable real-time responses to researchers' queries. Further, we extended the built-in natural language processing features of the database with question answering and summarization procedures. Combined with a new explorative approach of document filtering and a clean user interface, Olelo enables a fast and intelligent search through the ever-growing biomedical literature. Olelo is available at http://www.hpi.de/plattner/olelo. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

  15. Literature searches on Ayurveda: An update.

    Science.gov (United States)

    Aggithaya, Madhur G; Narahari, Saravu R

    2015-01-01

    The journals that publish on Ayurveda are increasingly indexed by popular medical databases in recent years. However, many Eastern journals are not indexed biomedical journal databases such as PubMed. Literature searches for Ayurveda continue to be challenging due to the nonavailability of active, unbiased dedicated databases for Ayurvedic literature. In 2010, authors identified 46 databases that can be used for systematic search of Ayurvedic papers and theses. This update reviewed our previous recommendation and identified current and relevant databases. To update on Ayurveda literature search and strategy to retrieve maximum publications. Author used psoriasis as an example to search previously listed databases and identify new. The population, intervention, control, and outcome table included keywords related to psoriasis and Ayurvedic terminologies for skin diseases. Current citation update status, search results, and search options of previous databases were assessed. Eight search strategies were developed. Hundred and five journals, both biomedical and Ayurveda, which publish on Ayurveda, were identified. Variability in databases was explored to identify bias in journal citation. Five among 46 databases are now relevant - AYUSH research portal, Annotated Bibliography of Indian Medicine, Digital Helpline for Ayurveda Research Articles (DHARA), PubMed, and Directory of Open Access Journals. Search options in these databases are not uniform, and only PubMed allows complex search strategy. "The Researches in Ayurveda" and "Ayurvedic Research Database" (ARD) are important grey resources for hand searching. About 44/105 (41.5%) journals publishing Ayurvedic studies are not indexed in any database. Only 11/105 (10.4%) exclusive Ayurveda journals are indexed in PubMed. AYUSH research portal and DHARA are two major portals after 2010. It is mandatory to search PubMed and four other databases because all five carry citations from different groups of journals. The hand

  16. Usage of cell nomenclature in biomedical literature

    KAUST Repository

    Kafkas, Senay

    2017-12-21

    Background Cell lines and cell types are extensively studied in biomedical research yielding to a significant amount of publications each year. Identifying cell lines and cell types precisely in publications is crucial for science reproducibility and knowledge integration. There are efforts for standardisation of the cell nomenclature based on ontology development to support FAIR principles of the cell knowledge. However, it is important to analyse the usage of cell nomenclature in publications at a large scale for understanding the level of uptake of cell nomenclature in literature by scientists. In this study, we analyse the usage of cell nomenclature, both in Vivo, and in Vitro in biomedical literature by using text mining methods and present our results. Results We identified 59% of the cell type classes in the Cell Ontology and 13% of the cell line classes in the Cell Line Ontology in the literature. Our analysis showed that cell line nomenclature is much more ambiguous compared to the cell type nomenclature. However, trends indicate that standardised nomenclature for cell lines and cell types are being increasingly used in publications by the scientists. Conclusions Our findings provide an insight to understand how experimental cells are described in publications and may allow for an improved standardisation of cell type and cell line nomenclature as well as can be utilised to develop efficient text mining applications on cell types and cell lines. All data generated in this study is available at https://github.com/shenay/CellNomenclatureStudy.

  17. Tracking word semantic change in biomedical literature.

    Science.gov (United States)

    Yan, Erjia; Zhu, Yongjun

    2018-01-01

    Up to this point, research on written scholarly communication has focused primarily on syntactic, rather than semantic, analyses. Consequently, we have yet to understand semantic change as it applies to disciplinary discourse. The objective of this study is to illustrate word semantic change in biomedical literature. To that end, we identify a set of representative words in biomedical literature based on word frequency and word-topic probability distributions. A word2vec language model is then applied to the identified words in order to measure word- and topic-level semantic changes. We find that for the selected words in PubMed, overall, meanings are becoming more stable in the 2000s than they were in the 1980s and 1990s. At the topic level, the global distance of most topics (19 out of 20 tested) is declining, suggesting that the words used to discuss these topics are stabilizing semantically. Similarly, the local distance of most topics (19 out of 20) is also declining, showing that the meanings of words from these topics are becoming more consistent with those of their semantic neighbors. At the word level, this paper identifies two different trends in word semantics, as measured by the aforementioned distance metrics: on the one hand, words can form clusters with their semantic neighbors, and these words, as a cluster, coevolve semantically; on the other hand, words can drift apart from their semantic neighbors while nonetheless stabilizing in the global context. In relating our work to language laws on semantic change, we find no overwhelming evidence to support either the law of parallel change or the law of conformity. Copyright © 2017 Elsevier B.V. All rights reserved.

  18. Medical literature search dot com

    Directory of Open Access Journals (Sweden)

    Vivek Jain

    2011-01-01

    Full Text Available The Internet provides a quick access to a plethora of the medical literature, in the form of journals, databases, dictionaries, textbooks, indexes, and e-journals, thereby allowing access to more varied, individualized, and systematic educational opportunities. Web search engine is a tool designed to search for information on the World Wide Web, which may be in the form of web pages, images, information, and other types of files. Search engines for internet-based search of medical literature include Google, Google scholar, Yahoo search engine, etc., and databases include MEDLINE, PubMed, MEDLARS, etc. Commercial web resources (Medscape, MedConnect, MedicineNet add to the list of resource databases providing some of their content for open access. Several web-libraries (Medical matrix, Emory libraries have been developed as meta-sites, providing useful links to health resources globally. Availability of specific dermatology-related websites (DermIs, DermNet, and Genamics Jornalseek is useful addition to the ever growing list of web-based resources. A researcher must keep in mind the strengths and limitations of a particular search engine/database while searching for a particular type of data. Knowledge about types of literature and levels of detail available, user interface, ease of access, reputable content, and period of time covered allow their optimal use and maximal utility in the field of medicine.

  19. Genre-based Search through Biomedical Images

    NARCIS (Netherlands)

    Geusebroek, J.M.; Hoang, M.A.; van Gemert, J.; Worring, M.

    2002-01-01

    We exploit the retrieval of visual information from biomedical scientific publication databses. Therefore, we consider the use of domain specific genres to automatically subdivide large image databases into smaller, consistent parts. Combination with Latent Semantic Indexing on the picture captions

  20. Developing a search engine for pharmacotherapeutic information that is not published in biomedical journals.

    Science.gov (United States)

    Do Pazo-Oubiña, F; Calvo Pita, C; Puigventós Latorre, F; Periañez-Párraga, L; Ventayol Bosch, P

    2011-01-01

    To identify publishers of pharmacotherapeutic information not found in biomedical journals that focuses on evaluating and providing advice on medicines and to develop a search engine to access this information. Compiling web sites that publish information on the rational use of medicines and have no commercial interests. Free-access web sites in Spanish, Galician, Catalan or English. Designing a search engine using the Google "custom search" application. Overall 159 internet addresses were compiled and were classified into 9 labels. We were able to recover the information from the selected sources using a search engine, which is called "AlquimiA" and available from http://www.elcomprimido.com/FARHSD/AlquimiA.htm. The main sources of pharmacotherapeutic information not published in biomedical journals were identified. The search engine is a useful tool for searching and accessing "grey literature" on the internet. Copyright © 2010 SEFH. Published by Elsevier Espana. All rights reserved.

  1. Journal of Biomedical Investigation: Advanced Search

    African Journals Online (AJOL)

    Search tips: Search terms are case-insensitive; Common words are ignored; By default only articles containing all terms in the query are returned (i.e., AND is implied); Combine multiple words with OR to find articles containing either term; e.g., education OR research; Use parentheses to create more complex queries; e.g., ...

  2. Annals of Biomedical Sciences: Advanced Search

    African Journals Online (AJOL)

    Search tips: Search terms are case-insensitive; Common words are ignored; By default only articles containing all terms in the query are returned (i.e., AND is implied); Combine multiple words with OR to find articles containing either term; e.g., education OR research; Use parentheses to create more complex queries; e.g., ...

  3. African Journal of Biomedical Research: Advanced Search

    African Journals Online (AJOL)

    Search tips: Search terms are case-insensitive; Common words are ignored; By default only articles containing all terms in the query are returned (i.e., AND is implied); Combine multiple words with OR to find articles containing either term; e.g., education OR research; Use parentheses to create more complex queries; e.g., ...

  4. Where to search top-K biomedical ontologies?

    Science.gov (United States)

    Oliveira, Daniela; Butt, Anila Sahar; Haller, Armin; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh

    2018-03-20

    Searching for precise terms and terminological definitions in the biomedical data space is problematic, as researchers find overlapping, closely related and even equivalent concepts in a single or multiple ontologies. Search engines that retrieve ontological resources often suggest an extensive list of search results for a given input term, which leads to the tedious task of selecting the best-fit ontological resource (class or property) for the input term and reduces user confidence in the retrieval engines. A systematic evaluation of these search engines is necessary to understand their strengths and weaknesses in different search requirements. We have implemented seven comparable Information Retrieval ranking algorithms to search through ontologies and compared them against four search engines for ontologies. Free-text queries have been performed, the outcomes have been judged by experts and the ranking algorithms and search engines have been evaluated against the expert-based ground truth (GT). In addition, we propose a probabilistic GT that is developed automatically to provide deeper insights and confidence to the expert-based GT as well as evaluating a broader range of search queries. The main outcome of this work is the identification of key search factors for biomedical ontologies together with search requirements and a set of recommendations that will help biomedical experts and ontology engineers to select the best-suited retrieval mechanism in their search scenarios. We expect that this evaluation will allow researchers and practitioners to apply the current search techniques more reliably and that it will help them to select the right solution for their daily work. The source code (of seven ranking algorithms), ground truths and experimental results are available at https://github.com/danielapoliveira/bioont-search-benchmark.

  5. Discovering biomedical knowledge from the literature.

    Science.gov (United States)

    Sarić, Jasmin; Engelken, Henriette; Reyle, Uwe

    2008-01-01

    Biomedical knowledge is to a very large extent represented only in textual form. To make this knowledge accessible to humans and/or further automatic processing, text mining applications have been developed. At the end of this chapter we present an overview of the most important open access applications and their functionality. The main part of the paper is devoted to the major problems with which all such applications have to deal. The first problem is terminology processing, i.e., recognizing biomedical terms and identifying their meanings, at least to a certain degree. The second problem is to bring together information units that are distributed over more than one sentence. The task of coreference resolution consists of identifying the entities to which the text refers in different sentences and in different ways. The third problem we discuss is that of information extraction, in particular, extraction of relational information. The representation of the domain knowledge is an indispensable component of any text mining application. We discuss different types and depths of ontological modeling and how this knowledge helps to accomplish the tasks described above. An overview of ontological resources is given at the end of the chapter.

  6. Under-reporting of Adverse Events in the Biomedical Literature

    Directory of Open Access Journals (Sweden)

    Ronald N. Kostoff

    2016-11-01

    Full Text Available Purpose: To address the under-reporting of research results, with emphasis on the underreporting/distorted reporting of adverse events in the biomedical research literature. Design/methodology/approach: A four-step approach is used:(1 To identify the characteristics of literature that make it adequate to support policy; (2 to show how each of these characteristics becomes degraded to make inadequate literature; (3 to identify incentives to prevent inadequate literature; and (4 to show policy implications of inadequate literature. Findings: This review has provided reasons for, and examples of, adverse health effects of myriad substances (1 being under-reported in the premiere biomedical literature, or (2 entering this literature in distorted form. Since there is no way to gauge the extent of this under/distorted-reporting, the quality and credibility of the ‘premiere’ biomedical literature is unknown. Therefore, any types of meta-analyses or scientometric analyses of this literature will have unknown quality and credibility. The most sophisticated scientometric analysis cannot compensate for a highly flawed database. Research limitations: The main limitation is in identifying examples of under-reporting. There are many incentives for under-reporting and few dis-incentives. Practical implications: Almost all research publications, addressing causes of disease, treatments for disease, diagnoses for disease, scientometrics of disease and health issues, and other aspects of healthcare, build upon previous healthcare-related research published. Many researchers will not have laboratories or other capabilities to replicate or validate the published research, and depend almost completely on the integrity of this literature. If the literature is distorted, then future research can be misguided, and health policy recommendations can be ineffective or worse. Originality/value: This review has examined a much wider range of technical and nontechnical

  7. [Systematic literature search in PubMed : A short introduction].

    Science.gov (United States)

    Blümle, A; Lagrèze, W A; Motschall, E

    2018-03-01

    In order to identify current (and relevant) evidence for a specific clinical question within the unmanageable amount of information available, solid skills in performing a systematic literature search are essential. An efficient approach is to searchbiomedical database containing relevant literature citations of study reports. The best known database is MEDLINE, which is searchable for free via the PubMed interface. In this article, we explain step by step how to perform a systematic literature search via PubMed by means of an example research question in the field of ophthalmology. First, we demonstrate how to translate the clinical problem into a well-framed and searchable research question, how to identify relevant search terms and how to conduct a text word search and a search with keywords in medical subject headings (MeSH) terms. We then show how to limit the number of search results if the search yields too many irrelevant hits and how to increase the number in the case of too few citations. Finally, we summarize all essential principles that guide a literature search via PubMed.

  8. Should we search Chinese biomedical databases when performing systematic reviews?

    OpenAIRE

    Cohen, J?r?mie F; Korevaar, Dani?l A; Wang, Junfeng; Spijker, Ren?; Bossuyt, Patrick M

    2015-01-01

    Background Chinese biomedical databases contain a large number of publications available to systematic reviewers, but it is unclear whether they are used for synthesizing the available evidence. Methods We report a case of two systematic reviews on the accuracy of anti-cyclic citrullinated peptide for diagnosing rheumatoid arthritis. In one of these, the authors did not search Chinese databases; in the other, they did. We additionally assessed the extent to which Cochrane reviewers have searc...

  9. A robust approach to extract biomedical events from literature.

    Science.gov (United States)

    Bui, Quoc-Chinh; Sloot, Peter M A

    2012-10-15

    The abundance of biomedical literature has attracted significant interest in novel methods to automatically extract biomedical relations from the literature. Until recently, most research was focused on extracting binary relations such as protein-protein interactions and drug-disease relations. However, these binary relations cannot fully represent the original biomedical data. Therefore, there is a need for methods that can extract fine-grained and complex relations known as biomedical events. In this article we propose a novel method to extract biomedical events from text. Our method consists of two phases. In the first phase, training data are mapped into structured representations. Based on that, templates are used to extract rules automatically. In the second phase, extraction methods are developed to process the obtained rules. When evaluated against the Genia event extraction abstract and full-text test datasets (Task 1), we obtain results with F-scores of 52.34 and 53.34, respectively, which are comparable to the state-of-the-art systems. Furthermore, our system achieves superior performance in terms of computational efficiency. Our source code is available for academic use at http://dl.dropbox.com/u/10256952/BioEvent.zip.

  10. MBA: a literature mining system for extracting biomedical abbreviations.

    Science.gov (United States)

    Xu, Yun; Wang, ZhiHao; Lei, YiMing; Zhao, YuZhong; Xue, Yu

    2009-01-09

    The exploding growth of the biomedical literature presents many challenges for biological researchers. One such challenge is from the use of a great deal of abbreviations. Extracting abbreviations and their definitions accurately is very helpful to biologists and also facilitates biomedical text analysis. Existing approaches fall into four broad categories: rule based, machine learning based, text alignment based and statistically based. State of the art methods either focus exclusively on acronym-type abbreviations, or could not recognize rare abbreviations. We propose a systematic method to extract abbreviations effectively. At first a scoring method is used to classify the abbreviations into acronym-type and non-acronym-type abbreviations, and then their corresponding definitions are identified by two different methods: text alignment algorithm for the former, statistical method for the latter. A literature mining system MBA was constructed to extract both acronym-type and non-acronym-type abbreviations. An abbreviation-tagged literature corpus, called Medstract gold standard corpus, was used to evaluate the system. MBA achieved a recall of 88% at the precision of 91% on the Medstract gold-standard EVALUATION Corpus. We present a new literature mining system MBA for extracting biomedical abbreviations. Our evaluation demonstrates that the MBA system performs better than the others. It can identify the definition of not only acronym-type abbreviations including a little irregular acronym-type abbreviations (e.g., ), but also non-acronym-type abbreviations (e.g., ).

  11. Should we search Chinese biomedical databases when performing systematic reviews?

    Science.gov (United States)

    Cohen, Jérémie F; Korevaar, Daniël A; Wang, Junfeng; Spijker, René; Bossuyt, Patrick M

    2015-03-06

    Chinese biomedical databases contain a large number of publications available to systematic reviewers, but it is unclear whether they are used for synthesizing the available evidence. We report a case of two systematic reviews on the accuracy of anti-cyclic citrullinated peptide for diagnosing rheumatoid arthritis. In one of these, the authors did not search Chinese databases; in the other, they did. We additionally assessed the extent to which Cochrane reviewers have searched Chinese databases in a systematic overview of the Cochrane Library (inception to 2014). The two diagnostic reviews included a total of 269 unique studies, but only 4 studies were included in both reviews. The first review included five studies published in the Chinese language (out of 151) while the second included 114 (out of 118). The summary accuracy estimates from the two reviews were comparable. Only 243 of the published 8,680 Cochrane reviews (less than 3%) searched one or more of the five major Chinese databases. These Chinese databases index about 2,500 journals, of which less than 6% are also indexed in MEDLINE. All 243 Cochrane reviews evaluated an intervention, 179 (74%) had at least one author with a Chinese affiliation; 118 (49%) addressed a topic in complementary or alternative medicine. Although searching Chinese databases may lead to the identification of a large amount of additional clinical evidence, Cochrane reviewers have rarely included them in their search strategy. We encourage future initiatives to evaluate more systematically the relevance of searching Chinese databases, as well as collaborative efforts to allow better incorporation of Chinese resources in systematic reviews.

  12. Classification and prioritization of biomedical literature for the comparative toxicogenomics database.

    Science.gov (United States)

    Vishnyakova, Dina; Pasche, Emilie; Gobeill, Julien; Gaudinat, Arnaud; Lovis, Christian; Ruch, Patrick

    2012-01-01

    We present a new approach to perform biomedical documents classification and prioritization for the Comparative Toxicogenomics Database (CTD). This approach is motivated by needs such as literature curation, in particular applied to the human health environment domain. The unique integration of chemical, genes/proteins and disease data in the biomedical literature may advance the identification of exposure and disease biomarkers, mechanisms of chemical actions, and the complex aetiologies of chronic diseases. Our approach aims to assist biomedical researchers when searching for relevant articles for CTD. The task is functionally defined as a binary classification task, where selected articles must also be ranked by order of relevance. We design a SVM classifier, which combines three main feature sets: an information retrieval system (EAGLi), a biomedical named-entity recognizer (MeSH term extraction), a gene normalization (GN) service (NormaGene) and an ad-hoc keyword recognizer for diseases and chemicals. The evaluation of the gene identification module was done on BioCreativeIII test data. Disease normalization is achieved with 95% precision and 93% of recall. The evaluation of the classification was done on the corpus provided by BioCreative organizers in 2012. The approach showed promising performance on the test data.

  13. CDAPubMed: a browser extension to retrieve EHR-based biomedical literature

    Directory of Open Access Journals (Sweden)

    Perez-Rey David

    2012-04-01

    Full Text Available Abstract Background Over the last few decades, the ever-increasing output of scientific publications has led to new challenges to keep up to date with the literature. In the biomedical area, this growth has introduced new requirements for professionals, e.g., physicians, who have to locate the exact papers that they need for their clinical and research work amongst a huge number of publications. Against this backdrop, novel information retrieval methods are even more necessary. While web search engines are widespread in many areas, facilitating access to all kinds of information, additional tools are required to automatically link information retrieved from these engines to specific biomedical applications. In the case of clinical environments, this also means considering aspects such as patient data security and confidentiality or structured contents, e.g., electronic health records (EHRs. In this scenario, we have developed a new tool to facilitate query building to retrieve scientific literature related to EHRs. Results We have developed CDAPubMed, an open-source web browser extension to integrate EHR features in biomedical literature retrieval approaches. Clinical users can use CDAPubMed to: (i load patient clinical documents, i.e., EHRs based on the Health Level 7-Clinical Document Architecture Standard (HL7-CDA, (ii identify relevant terms for scientific literature search in these documents, i.e., Medical Subject Headings (MeSH, automatically driven by the CDAPubMed configuration, which advanced users can optimize to adapt to each specific situation, and (iii generate and launch literature search queries to a major search engine, i.e., PubMed, to retrieve citations related to the EHR under examination. Conclusions CDAPubMed is a platform-independent tool designed to facilitate literature searching using keywords contained in specific EHRs. CDAPubMed is visually integrated, as an extension of a widespread web browser, within the standard

  14. CDAPubMed: a browser extension to retrieve EHR-based biomedical literature.

    Science.gov (United States)

    Perez-Rey, David; Jimenez-Castellanos, Ana; Garcia-Remesal, Miguel; Crespo, Jose; Maojo, Victor

    2012-04-05

    Over the last few decades, the ever-increasing output of scientific publications has led to new challenges to keep up to date with the literature. In the biomedical area, this growth has introduced new requirements for professionals, e.g., physicians, who have to locate the exact papers that they need for their clinical and research work amongst a huge number of publications. Against this backdrop, novel information retrieval methods are even more necessary. While web search engines are widespread in many areas, facilitating access to all kinds of information, additional tools are required to automatically link information retrieved from these engines to specific biomedical applications. In the case of clinical environments, this also means considering aspects such as patient data security and confidentiality or structured contents, e.g., electronic health records (EHRs). In this scenario, we have developed a new tool to facilitate query building to retrieve scientific literature related to EHRs. We have developed CDAPubMed, an open-source web browser extension to integrate EHR features in biomedical literature retrieval approaches. Clinical users can use CDAPubMed to: (i) load patient clinical documents, i.e., EHRs based on the Health Level 7-Clinical Document Architecture Standard (HL7-CDA), (ii) identify relevant terms for scientific literature search in these documents, i.e., Medical Subject Headings (MeSH), automatically driven by the CDAPubMed configuration, which advanced users can optimize to adapt to each specific situation, and (iii) generate and launch literature search queries to a major search engine, i.e., PubMed, to retrieve citations related to the EHR under examination. CDAPubMed is a platform-independent tool designed to facilitate literature searching using keywords contained in specific EHRs. CDAPubMed is visually integrated, as an extension of a widespread web browser, within the standard PubMed interface. It has been tested on a public dataset

  15. Development and Evaluation of Thesauri-Based Bibliographic Biomedical Search Engine

    Science.gov (United States)

    Alghoson, Abdullah

    2017-01-01

    Due to the large volume and exponential growth of biomedical documents (e.g., books, journal articles), it has become increasingly challenging for biomedical search engines to retrieve relevant documents based on users' search queries. Part of the challenge is the matching mechanism of free-text indexing that performs matching based on…

  16. Supporting inter-topic entity search for biomedical Linked Data based on heterogeneous relationships.

    Science.gov (United States)

    Zong, Nansu; Lee, Sungin; Ahn, Jinhyun; Kim, Hong-Gee

    2017-08-01

    The keyword-based entity search restricts search space based on the preference of search. When given keywords and preferences are not related to the same biomedical topic, existing biomedical Linked Data search engines fail to deliver satisfactory results. This research aims to tackle this issue by supporting an inter-topic search-improving search with inputs, keywords and preferences, under different topics. This study developed an effective algorithm in which the relations between biomedical entities were used in tandem with a keyword-based entity search, Siren. The algorithm, PERank, which is an adaptation of Personalized PageRank (PPR), uses a pair of input: (1) search preferences, and (2) entities from a keyword-based entity search with a keyword query, to formalize the search results on-the-fly based on the index of the precomputed Individual Personalized PageRank Vectors (IPPVs). Our experiments were performed over ten linked life datasets for two query sets, one with keyword-preference topic correspondence (intra-topic search), and the other without (inter-topic search). The experiments showed that the proposed method achieved better search results, for example a 14% increase in precision for the inter-topic search than the baseline keyword-based search engine. The proposed method improved the keyword-based biomedical entity search by supporting the inter-topic search without affecting the intra-topic search based on the relations between different entities. Copyright © 2017 Elsevier Ltd. All rights reserved.

  17. PIE the search: searching PubMed literature for protein interaction information.

    Science.gov (United States)

    Kim, Sun; Kwon, Dongseop; Shin, Soo-Yong; Wilbur, W John

    2012-02-15

    Finding protein-protein interaction (PPI) information from literature is challenging but an important issue. However, keyword search in PubMed(®) is often time consuming because it requires a series of actions that refine keywords and browse search results until it reaches a goal. Due to the rapid growth of biomedical literature, it has become more difficult for biologists and curators to locate PPI information quickly. Therefore, a tool for prioritizing PPI informative articles can be a useful assistant for finding this PPI-relevant information. PIE (Protein Interaction information Extraction) the search is a web service implementing a competition-winning approach utilizing word and syntactic analyses by machine learning techniques. For easy user access, PIE the search provides a PubMed-like search environment, but the output is the list of articles prioritized by PPI confidence scores. By obtaining PPI-related articles at high rank, researchers can more easily find the up-to-date PPI information, which cannot be found in manually curated PPI databases. http://www.ncbi.nlm.nih.gov/IRET/PIE/.

  18. Using a search engine-based mutually reinforcing approach to assess the semantic relatedness of biomedical terms.

    Directory of Open Access Journals (Sweden)

    Yi-Yu Hsu

    Full Text Available BACKGROUND: Determining the semantic relatedness of two biomedical terms is an important task for many text-mining applications in the biomedical field. Previous studies, such as those using ontology-based and corpus-based approaches, measured semantic relatedness by using information from the structure of biomedical literature, but these methods are limited by the small size of training resources. To increase the size of training datasets, the outputs of search engines have been used extensively to analyze the lexical patterns of biomedical terms. METHODOLOGY/PRINCIPAL FINDINGS: In this work, we propose the Mutually Reinforcing Lexical Pattern Ranking (ReLPR algorithm for learning and exploring the lexical patterns of synonym pairs in biomedical text. ReLPR employs lexical patterns and their pattern containers to assess the semantic relatedness of biomedical terms. By combining sentence structures and the linking activities between containers and lexical patterns, our algorithm can explore the correlation between two biomedical terms. CONCLUSIONS/SIGNIFICANCE: The average correlation coefficient of the ReLPR algorithm was 0.82 for various datasets. The results of the ReLPR algorithm were significantly superior to those of previous methods.

  19. Search and Graph Database Technologies for Biomedical Semantic Indexing: Experimental Analysis.

    Science.gov (United States)

    Segura Bedmar, Isabel; Martínez, Paloma; Carruana Martín, Adrián

    2017-12-01

    Biomedical semantic indexing is a very useful support tool for human curators in their efforts for indexing and cataloging the biomedical literature. The aim of this study was to describe a system to automatically assign Medical Subject Headings (MeSH) to biomedical articles from MEDLINE. Our approach relies on the assumption that similar documents should be classified by similar MeSH terms. Although previous work has already exploited the document similarity by using a k-nearest neighbors algorithm, we represent documents as document vectors by search engine indexing and then compute the similarity between documents using cosine similarity. Once the most similar documents for a given input document are retrieved, we rank their MeSH terms to choose the most suitable set for the input document. To do this, we define a scoring function that takes into account the frequency of the term into the set of retrieved documents and the similarity between the input document and each retrieved document. In addition, we implement guidelines proposed by human curators to annotate MEDLINE articles; in particular, the heuristic that says if 3 MeSH terms are proposed to classify an article and they share the same ancestor, they should be replaced by this ancestor. The representation of the MeSH thesaurus as a graph database allows us to employ graph search algorithms to quickly and easily capture hierarchical relationships such as the lowest common ancestor between terms. Our experiments show promising results with an F1 of 69% on the test dataset. To the best of our knowledge, this is the first work that combines search and graph database technologies for the task of biomedical semantic indexing. Due to its horizontal scalability, ElasticSearch becomes a real solution to index large collections of documents (such as the bibliographic database MEDLINE). Moreover, the use of graph search algorithms for accessing MeSH information could provide a support tool for cataloging MEDLINE

  20. The Imperative Of Literature Search For Research In Nigeria | Madu ...

    African Journals Online (AJOL)

    The paper while advancing reasons for literature search described how the library can assist in literature search. It finally discussed the various approaches and levels of search especially on the web and the problems researchers are most likely to encounter. Keywords: Research, Literature Search, Nigeria. The Information ...

  1. Retracted Publications in the Biomedical Literature from Open Access Journals.

    Science.gov (United States)

    Wang, Tao; Xing, Qin-Rui; Wang, Hui; Chen, Wei

    2018-03-07

    The number of articles published in open access journals (OAJs) has increased dramatically in recent years. Simultaneously, the quality of publications in these journals has been called into question. Few studies have explored the retraction rate from OAJs. The purpose of the current study was to determine the reasons for retractions of articles from OAJs in biomedical research. The Medline database was searched through PubMed to identify retracted publications in OAJs. The journals were identified by the Directory of Open Access Journals. Data were extracted from each retracted article, including the time from publication to retraction, causes, journal impact factor, and country of origin. Trends in the characteristics related to retraction were determined. Data from 621 retracted studies were included in the analysis. The number and rate of retractions have increased since 2010. The most common reasons for retraction are errors (148), plagiarism (142), duplicate publication (101), fraud/suspected fraud (98) and invalid peer review (93). The number of retracted articles from OAJs has been steadily increasing. Misconduct was the primary reason for retraction. The majority of retracted articles were from journals with low impact factors and authored by researchers from China, India, Iran, and the USA.

  2. Reproducible Research Practices and Transparency across the Biomedical Literature.

    Directory of Open Access Journals (Sweden)

    Shareen A Iqbal

    2016-01-01

    Full Text Available There is a growing movement to encourage reproducibility and transparency practices in the scientific community, including public access to raw data and protocols, the conduct of replication studies, systematic integration of evidence in systematic reviews, and the documentation of funding and potential conflicts of interest. In this survey, we assessed the current status of reproducibility and transparency addressing these indicators in a random sample of 441 biomedical journal articles published in 2000-2014. Only one study provided a full protocol and none made all raw data directly available. Replication studies were rare (n = 4, and only 16 studies had their data included in a subsequent systematic review or meta-analysis. The majority of studies did not mention anything about funding or conflicts of interest. The percentage of articles with no statement of conflict decreased substantially between 2000 and 2014 (94.4% in 2000 to 34.6% in 2014; the percentage of articles reporting statements of conflicts (0% in 2000, 15.4% in 2014 or no conflicts (5.6% in 2000, 50.0% in 2014 increased. Articles published in journals in the clinical medicine category versus other fields were almost twice as likely to not include any information on funding and to have private funding. This study provides baseline data to compare future progress in improving these indicators in the scientific literature.

  3. Modality prediction of biomedical literature images using multimodal feature representation

    Directory of Open Access Journals (Sweden)

    Pelka, Obioma

    2016-08-01

    Full Text Available This paper presents the modelling approaches performed to automatically predict the modality of images found in biomedical literature. Various state-of-the-art visual features such as Bag-of-Keypoints computed with dense SIFT descriptors, texture features and Joint Composite Descriptors were used for visual image representation. Text representation was obtained by vector quantisation on a Bag-of-Words dictionary generated using attribute importance derived from a χ-test. Computing the principal components separately on each feature, dimension reduction as well as computational load reduction was achieved. Various multiple feature fusions were adopted to supplement visual image information with corresponding text information. The improvement obtained when using multimodal features vs. visual or text features was detected, analysed and evaluated. Random Forest models with 100 to 500 deep trees grown by resampling, a multi class linear kernel SVM with C=0.05 and a late fusion of the two classifiers were used for modality prediction. A Random Forest classifier achieved a higher accuracy and computed Bag-of-Keypoints with dense SIFT descriptors proved to be a better approach than with Lowe SIFT.

  4. Design and implementation of Metta, a metasearch engine for biomedical literature retrieval intended for systematic reviewers.

    Science.gov (United States)

    Smalheiser, Neil R; Lin, Can; Jia, Lifeng; Jiang, Yu; Cohen, Aaron M; Yu, Clement; Davis, John M; Adams, Clive E; McDonagh, Marian S; Meng, Weiyi

    2014-01-01

    systematic reviewers in retrieving, filtering and assessing publications. As such, Metta may find wide utility for anyone who is carrying out a comprehensive search of the biomedical literature.

  5. [Biomedical information on the internet using search engines. A one-year trial].

    Science.gov (United States)

    Corrao, Salvatore; Leone, Francesco; Arnone, Sabrina

    2004-01-01

    The internet is a communication medium and content distributor that provide information in the general sense but it could be of great utility regarding as the search and retrieval of biomedical information. Search engines represent a great deal to rapidly find information on the net. However, we do not know whether general search engines and meta-search ones are reliable in order to find useful and validated biomedical information. The aim of our study was to verify the reproducibility of a search by key-words (pediatric or evidence) using 9 international search engines and 1 meta-search engine at the baseline and after a one year period. We analysed the first 20 citations as output of each searching. We evaluated the formal quality of Web-sites and their domain extensions. Moreover, we compared the output of each search at the start of this study and after a one year period and we considered as a criterion of reliability the number of Web-sites cited again. We found some interesting results that are reported throughout the text. Our findings point out an extreme dynamicity of the information on the Web and, for this reason, we advice a great caution when someone want to use search and meta-search engines as a tool for searching and retrieve reliable biomedical information. On the other hand, some search and meta-search engines could be very useful as a first step searching for defining better a search and, moreover, for finding institutional Web-sites too. This paper allows to know a more conscious approach to the internet biomedical information universe.

  6. Should we search Chinese biomedical databases when performing systematic reviews?

    NARCIS (Netherlands)

    Cohen, Jérémie F.; Korevaar, Daniël A.; Wang, Junfeng; Spijker, René; Bossuyt, Patrick M.

    2015-01-01

    Chinese biomedical databases contain a large number of publications available to systematic reviewers, but it is unclear whether they are used for synthesizing the available evidence. We report a case of two systematic reviews on the accuracy of anti-cyclic citrullinated peptide for diagnosing

  7. International biomedical law in search for its normative status.

    Science.gov (United States)

    Krajewska, Atina

    2012-01-01

    The broad and multifaceted problem of global health law and global health governance has been attracting increasing attention in the last few decades. The global community has failed to establish international legal regime that deals comprehensively with the 'technological revolution'. The latter has posed complex questions to regions of the world with widely differing cultural perspectives. At the same time, an increasing number of governmental and non-state actors have become significantly involved in the sector. They use legal, political, and other forms of decision-making that result in regulatory instruments of contrasting normative status. Law created in this heterogeneous environment has been said to be fragmented, inconsistent, and exacerbating uncertainties. Therefore, claims have been made that a centralised and institutionalised system would help address the problems of transparency, legitimacy and efficiency. Nevertheless, little scholarly consideration is paid to the normative status of international biomedical law. This paper explores whether formalisation and "constitutionalisation" of biomedical law are indeed inevitable for its establishment as a separate regulatory regime. It does so by analysing the proliferation of biomedical law in light of two the theory of fragmentation and the theory of global legal pluralism. Investigating the problem in this way helps determine the theoretical framework and methodology of future studies of biomedical law at the international level. This in turn should help its future development in a more consistent and harmonised manner.

  8. Sierra Leone Journal of Biomedical Research: Advanced Search

    African Journals Online (AJOL)

    Search tips: Search terms are case-insensitive; Common words are ignored; By default only articles containing all terms in the query are returned (i.e., AND is implied); Combine multiple words with OR to find articles containing either term; e.g., education OR research; Use parentheses to create more complex queries; e.g., ...

  9. Journal of Medical and Biomedical Sciences: Advanced Search

    African Journals Online (AJOL)

    Search tips: Search terms are case-insensitive; Common words are ignored; By default only articles containing all terms in the query are returned (i.e., AND is implied); Combine multiple words with OR to find articles containing either term; e.g., education OR research; Use parentheses to create more complex queries; e.g., ...

  10. Archives of Medical and Biomedical Research: Advanced Search

    African Journals Online (AJOL)

    Search tips: Search terms are case-insensitive; Common words are ignored; By default only articles containing all terms in the query are returned (i.e., AND is implied); Combine multiple words with OR to find articles containing either term; e.g., education OR research; Use parentheses to create more complex queries; e.g., ...

  11. Journal of Medicine and Biomedical Research: Advanced Search

    African Journals Online (AJOL)

    Search tips: Search terms are case-insensitive; Common words are ignored; By default only articles containing all terms in the query are returned (i.e., AND is implied); Combine multiple words with OR to find articles containing either term; e.g., education OR research; Use parentheses to create more complex queries; e.g., ...

  12. Social Work Literature Searching: Current Issues with Databases and Online Search Engines

    Science.gov (United States)

    McGinn, Tony; Taylor, Brian; McColgan, Mary; McQuilkan, Janice

    2016-01-01

    Objectives: To compare the performance of a range of search facilities; and to illustrate the execution of a comprehensive literature search for qualitative evidence in social work. Context: Developments in literature search methods and comparisons of search facilities help facilitate access to the best available evidence for social workers.…

  13. Searching for Grey Literature for Systematic Reviews: Challenges and Benefits

    Science.gov (United States)

    Mahood, Quenby; Van Eerd, Dwayne; Irvin, Emma

    2014-01-01

    There is ongoing interest in including grey literature in systematic reviews. Including grey literature can broaden the scope to more relevant studies, thereby providing a more complete view of available evidence. Searching for grey literature can be challenging despite greater access through the Internet, search engines and online bibliographic…

  14. An integrated biomedical knowledge extraction and analysis platform: using federated search and document clustering technology.

    Science.gov (United States)

    Taylor, Donald P

    2007-01-01

    High content screening (HCS) requires time-consuming and often complex iterative information retrieval and assessment approaches to optimally conduct drug discovery programs and biomedical research. Pre- and post-HCS experimentation both require the retrieval of information from public as well as proprietary literature in addition to structured information assets such as compound libraries and projects databases. Unfortunately, this information is typically scattered across a plethora of proprietary bioinformatics tools and databases and public domain sources. Consequently, single search requests must be presented to each information repository, forcing the results to be manually integrated for a meaningful result set. Furthermore, these bioinformatics tools and data repositories are becoming increasingly complex to use; typically they fail to allow for more natural query interfaces. Vivisimo has developed an enterprise software platform to bridge disparate silos of information. The platform automatically categorizes search results into descriptive folders without the use of taxonomies to drive the categorization. A new approach to information retrieval for HCS experimentation is proposed.

  15. A survey on annotation tools for the biomedical literature.

    Science.gov (United States)

    Neves, Mariana; Leser, Ulf

    2014-03-01

    New approaches to biomedical text mining crucially depend on the existence of comprehensive annotated corpora. Such corpora, commonly called gold standards, are important for learning patterns or models during the training phase, for evaluating and comparing the performance of algorithms and also for better understanding the information sought for by means of examples. Gold standards depend on human understanding and manual annotation of natural language text. This process is very time-consuming and expensive because it requires high intellectual effort from domain experts. Accordingly, the lack of gold standards is considered as one of the main bottlenecks for developing novel text mining methods. This situation led the development of tools that support humans in annotating texts. Such tools should be intuitive to use, should support a range of different input formats, should include visualization of annotated texts and should generate an easy-to-parse output format. Today, a range of tools which implement some of these functionalities are available. In this survey, we present a comprehensive survey of tools for supporting annotation of biomedical texts. Altogether, we considered almost 30 tools, 13 of which were selected for an in-depth comparison. The comparison was performed using predefined criteria and was accompanied by hands-on experiences whenever possible. Our survey shows that current tools can support many of the tasks in biomedical text annotation in a satisfying manner, but also that no tool can be considered as a true comprehensive solution.

  16. Automated recognition of malignancy mentions in biomedical literature

    Directory of Open Access Journals (Sweden)

    Liberman Mark Y

    2006-11-01

    Full Text Available Abstract Background The rapid proliferation of biomedical text makes it increasingly difficult for researchers to identify, synthesize, and utilize developed knowledge in their fields of interest. Automated information extraction procedures can assist in the acquisition and management of this knowledge. Previous efforts in biomedical text mining have focused primarily upon named entity recognition of well-defined molecular objects such as genes, but less work has been performed to identify disease-related objects and concepts. Furthermore, promise has been tempered by an inability to efficiently scale approaches in ways that minimize manual efforts and still perform with high accuracy. Here, we have applied a machine-learning approach previously successful for identifying molecular entities to a disease concept to determine if the underlying probabilistic model effectively generalizes to unrelated concepts with minimal manual intervention for model retraining. Results We developed a named entity recognizer (MTag, an entity tagger for recognizing clinical descriptions of malignancy presented in text. The application uses the machine-learning technique Conditional Random Fields with additional domain-specific features. MTag was tested with 1,010 training and 432 evaluation documents pertaining to cancer genomics. Overall, our experiments resulted in 0.85 precision, 0.83 recall, and 0.84 F-measure on the evaluation set. Compared with a baseline system using string matching of text with a neoplasm term list, MTag performed with a much higher recall rate (92.1% vs. 42.1% recall and demonstrated the ability to learn new patterns. Application of MTag to all MEDLINE abstracts yielded the identification of 580,002 unique and 9,153,340 overall mentions of malignancy. Significantly, addition of an extensive lexicon of malignancy mentions as a feature set for extraction had minimal impact in performance. Conclusion Together, these results suggest that the

  17. Automated recognition of malignancy mentions in biomedical literature.

    Science.gov (United States)

    Jin, Yang; McDonald, Ryan T; Lerman, Kevin; Mandel, Mark A; Carroll, Steven; Liberman, Mark Y; Pereira, Fernando C; Winters, Raymond S; White, Peter S

    2006-11-07

    The rapid proliferation of biomedical text makes it increasingly difficult for researchers to identify, synthesize, and utilize developed knowledge in their fields of interest. Automated information extraction procedures can assist in the acquisition and management of this knowledge. Previous efforts in biomedical text mining have focused primarily upon named entity recognition of well-defined molecular objects such as genes, but less work has been performed to identify disease-related objects and concepts. Furthermore, promise has been tempered by an inability to efficiently scale approaches in ways that minimize manual efforts and still perform with high accuracy. Here, we have applied a machine-learning approach previously successful for identifying molecular entities to a disease concept to determine if the underlying probabilistic model effectively generalizes to unrelated concepts with minimal manual intervention for model retraining. We developed a named entity recognizer (MTag), an entity tagger for recognizing clinical descriptions of malignancy presented in text. The application uses the machine-learning technique Conditional Random Fields with additional domain-specific features. MTag was tested with 1,010 training and 432 evaluation documents pertaining to cancer genomics. Overall, our experiments resulted in 0.85 precision, 0.83 recall, and 0.84 F-measure on the evaluation set. Compared with a baseline system using string matching of text with a neoplasm term list, MTag performed with a much higher recall rate (92.1% vs. 42.1% recall) and demonstrated the ability to learn new patterns. Application of MTag to all MEDLINE abstracts yielded the identification of 580,002 unique and 9,153,340 overall mentions of malignancy. Significantly, addition of an extensive lexicon of malignancy mentions as a feature set for extraction had minimal impact in performance. Together, these results suggest that the identification of disparate biomedical entity classes in

  18. PageRank as a method to rank biomedical literature by importance.

    Science.gov (United States)

    Yates, Elliot J; Dixon, Louise C

    2015-01-01

    Optimal ranking of literature importance is vital in overcoming article overload. Existing ranking methods are typically based on raw citation counts, giving a sum of 'inbound' links with no consideration of citation importance. PageRank, an algorithm originally developed for ranking webpages at the search engine, Google, could potentially be adapted to bibliometrics to quantify the relative importance weightings of a citation network. This article seeks to validate such an approach on the freely available, PubMed Central open access subset (PMC-OAS) of biomedical literature. On-demand cloud computing infrastructure was used to extract a citation network from over 600,000 full-text PMC-OAS articles. PageRanks and citation counts were calculated for each node in this network. PageRank is highly correlated with citation count (R = 0.905, P PageRank can be trivially computed on commodity cluster hardware and is linearly correlated with citation count. Given its putative benefits in quantifying relative importance, we suggest it may enrich the citation network, thereby overcoming the existing inadequacy of citation counts alone. We thus suggest PageRank as a feasible supplement to, or replacement of, existing bibliometric ranking methods.

  19. Optimizing literature search in systematic reviews

    DEFF Research Database (Denmark)

    Aagaard, Thomas; Lund, Hans; Juhl, Carsten Bogh

    2016-01-01

    , PsychINFO, SCOPUS, SportDISCUS and Web of Science. Cumulative median recall for combined searching in MEDLINE, EMBASE and CENTRAL was 88.9% and increased to 90.9% when adding 10 additional databases. CONCLUSION: Searching MEDLINE, EMBASE and CENTRAL was not sufficient for identifying all effect studies...

  20. Beyond PubMed: Searching the "Grey Literature" for Clinical Trial Results.

    Science.gov (United States)

    Citrome, Leslie

    2014-07-01

    Clinical trial results have been traditionally communicated through the publication of scholarly reports and reviews in biomedical journals. However, this dissemination of information can be delayed or incomplete, making it difficult to appraise new treatments, or in the case of missing data, evaluate older interventions. Going beyond the routine search of PubMed, it is possible to discover additional information in the "grey literature." Examples of the grey literature include clinical trial registries, patent databases, company and industrywide repositories, regulatory agency digital archives, abstracts of paper and poster presentations on meeting/congress websites, industry investor reports and press releases, and institutional and personal websites.

  1. UMLS content views appropriate for NLP processing of the biomedical literature vs. clinical text.

    Science.gov (United States)

    Demner-Fushman, Dina; Mork, James G; Shooshan, Sonya E; Aronson, Alan R

    2010-08-01

    Identification of medical terms in free text is a first step in such Natural Language Processing (NLP) tasks as automatic indexing of biomedical literature and extraction of patients' problem lists from the text of clinical notes. Many tools developed to perform these tasks use biomedical knowledge encoded in the Unified Medical Language System (UMLS) Metathesaurus. We continue our exploration of automatic approaches to creation of subsets (UMLS content views) which can support NLP processing of either the biomedical literature or clinical text. We found that suppression of highly ambiguous terms in the conservative AutoFilter content view can partially replace manual filtering for literature applications, and suppression of two character mappings in the same content view achieves 89.5% precision at 78.6% recall for clinical applications. Published by Elsevier Inc.

  2. Biomedical Information Extraction: Mining Disease Associated Genes from Literature

    Science.gov (United States)

    Huang, Zhong

    2014-01-01

    Disease associated gene discovery is a critical step to realize the future of personalized medicine. However empirical and clinical validation of disease associated genes are time consuming and expensive. In silico discovery of disease associated genes from literature is therefore becoming the first essential step for biomarker discovery to…

  3. A unified architecture for biomedical search engines based on semantic web technologies.

    Science.gov (United States)

    Jalali, Vahid; Matash Borujerdi, Mohammad Reza

    2011-04-01

    There is a huge growth in the volume of published biomedical research in recent years. Many medical search engines are designed and developed to address the over growing information needs of biomedical experts and curators. Significant progress has been made in utilizing the knowledge embedded in medical ontologies and controlled vocabularies to assist these engines. However, the lack of common architecture for utilized ontologies and overall retrieval process, hampers evaluating different search engines and interoperability between them under unified conditions. In this paper, a unified architecture for medical search engines is introduced. Proposed model contains standard schemas declared in semantic web languages for ontologies and documents used by search engines. Unified models for annotation and retrieval processes are other parts of introduced architecture. A sample search engine is also designed and implemented based on the proposed architecture in this paper. The search engine is evaluated using two test collections and results are reported in terms of precision vs. recall and mean average precision for different approaches used by this search engine.

  4. A student's guide to searching the literature using online databases

    Science.gov (United States)

    Miller, Casey W.; Belyea, Dustin; Chabot, Michelle; Messina, Troy

    2012-02-01

    A method is described to empower students to efficiently perform general and specific literature searches using online resources [Miller et al., Am. J. Phys. 77, 1112 (2009)]. The method was tested on multiple groups, including undergraduate and graduate students with varying backgrounds in scientific literature searches. Students involved in this study showed marked improvement in their awareness of how and where to find scientific information. Repeated exposure to literature searching methods appears worthwhile, starting early in the undergraduate career, and even in graduate school orientation.

  5. Measuring the outcome of biomedical research: a systematic literature review.

    Directory of Open Access Journals (Sweden)

    Frédérique Thonon

    Full Text Available There is an increasing need to evaluate the production and impact of medical research produced by institutions. Many indicators exist, yet we do not have enough information about their relevance. The objective of this systematic review was (1 to identify all the indicators that could be used to measure the output and outcome of medical research carried out in institutions and (2 enlist their methodology, use, positive and negative points.We have searched 3 databases (Pubmed, Scopus, Web of Science using the following keywords: [Research outcome* OR research output* OR bibliometric* OR scientometric* OR scientific production] AND [indicator* OR index* OR evaluation OR metrics]. We included articles presenting, discussing or evaluating indicators measuring the scientific production of an institution. The search was conducted by two independent authors using a standardised data extraction form. For each indicator we extracted its definition, calculation, its rationale and its positive and negative points. In order to reduce bias, data extraction and analysis was performed by two independent authors.We included 76 articles. A total of 57 indicators were identified. We have classified those indicators into 6 categories: 9 indicators of research activity, 24 indicators of scientific production and impact, 5 indicators of collaboration, 7 indicators of industrial production, 4 indicators of dissemination, 8 indicators of health service impact. The most widely discussed and described is the h-index with 31 articles discussing it.The majority of indicators found are bibliometric indicators of scientific production and impact. Several indicators have been developed to improve the h-index. This indicator has also inspired the creation of two indicators to measure industrial production and collaboration. Several articles propose indicators measuring research impact without detailing a methodology for calculating them. Many bibliometric indicators identified

  6. Full text and figure display improves bioscience literature search.

    Directory of Open Access Journals (Sweden)

    Anna Divoli

    Full Text Available When reading bioscience journal articles, many researchers focus attention on the figures and their captions. This observation led to the development of the BioText literature search engine, a freely available Web-based application that allows biologists to search over the contents of Open Access Journals, and see figures from the articles displayed directly in the search results. This article presents a qualitative assessment of this system in the form of a usability study with 20 biologist participants using and commenting on the system. 19 out of 20 participants expressed a desire to use a bioscience literature search engine that displays articles' figures alongside the full text search results. 15 out of 20 participants said they would use a caption search and figure display interface either frequently or sometimes, while 4 said rarely and 1 said undecided. 10 out of 20 participants said they would use a tool for searching the text of tables and their captions either frequently or sometimes, while 7 said they would use it rarely if at all, 2 said they would never use it, and 1 was undecided. This study found evidence, supporting results of an earlier study, that bioscience literature search systems such as PubMed should show figures from articles alongside search results. It also found evidence that full text and captions should be searched along with the article title, metadata, and abstract. Finally, for a subset of users and information needs, allowing for explicit search within captions for figures and tables is a useful function, but it is not entirely clear how to cleanly integrate this within a more general literature search interface. Such a facility supports Open Access publishing efforts, as it requires access to full text of documents and the lifting of restrictions in order to show figures in the search interface.

  7. DeTEXT: A Database for Evaluating Text Extraction from Biomedical Literature Figures.

    Science.gov (United States)

    Yin, Xu-Cheng; Yang, Chun; Pei, Wei-Yi; Man, Haixia; Zhang, Jun; Learned-Miller, Erik; Yu, Hong

    2015-01-01

    Hundreds of millions of figures are available in biomedical literature, representing important biomedical experimental evidence. Since text is a rich source of information in figures, automatically extracting such text may assist in the task of mining figure information. A high-quality ground truth standard can greatly facilitate the development of an automated system. This article describes DeTEXT: A database for evaluating text extraction from biomedical literature figures. It is the first publicly available, human-annotated, high quality, and large-scale figure-text dataset with 288 full-text articles, 500 biomedical figures, and 9308 text regions. This article describes how figures were selected from open-access full-text biomedical articles and how annotation guidelines and annotation tools were developed. We also discuss the inter-annotator agreement and the reliability of the annotations. We summarize the statistics of the DeTEXT data and make available evaluation protocols for DeTEXT. Finally we lay out challenges we observed in the automated detection and recognition of figure text and discuss research directions in this area. DeTEXT is publicly available for downloading at http://prir.ustb.edu.cn/DeTEXT/.

  8. DeTEXT: A Database for Evaluating Text Extraction from Biomedical Literature Figures.

    Directory of Open Access Journals (Sweden)

    Xu-Cheng Yin

    Full Text Available Hundreds of millions of figures are available in biomedical literature, representing important biomedical experimental evidence. Since text is a rich source of information in figures, automatically extracting such text may assist in the task of mining figure information. A high-quality ground truth standard can greatly facilitate the development of an automated system. This article describes DeTEXT: A database for evaluating text extraction from biomedical literature figures. It is the first publicly available, human-annotated, high quality, and large-scale figure-text dataset with 288 full-text articles, 500 biomedical figures, and 9308 text regions. This article describes how figures were selected from open-access full-text biomedical articles and how annotation guidelines and annotation tools were developed. We also discuss the inter-annotator agreement and the reliability of the annotations. We summarize the statistics of the DeTEXT data and make available evaluation protocols for DeTEXT. Finally we lay out challenges we observed in the automated detection and recognition of figure text and discuss research directions in this area. DeTEXT is publicly available for downloading at http://prir.ustb.edu.cn/DeTEXT/.

  9. Misrepresentation and distortion of research in biomedical literature.

    Science.gov (United States)

    Boutron, Isabelle; Ravaud, Philippe

    2018-03-13

    Publication in peer-reviewed journals is an essential step in the scientific process. However, publication is not simply the reporting of facts arising from a straightforward analysis thereof. Authors have broad latitude when writing their reports and may be tempted to consciously or unconsciously "spin" their study findings. Spin has been defined as a specific intentional or unintentional reporting that fails to faithfully reflect the nature and range of findings and that could affect the impression the results produce in readers. This article, based on a literature review, reports the various practices of spin from misreporting by "beautification" of methods to misreporting by misinterpreting the results. It provides data on the prevalence of some forms of spin in specific fields and the possible effects of some types of spin on readers' interpretation and research dissemination. We also discuss why researchers would spin their reports and possible ways to avoid it.

  10. Ayurveda for diabetes mellitus: a review of the biomedical literature.

    Science.gov (United States)

    Elder, Charles

    2004-01-01

    Diabetes mellitus is a condition that is extremely serious from both clinical and public health standpoints. The traditional healthcare system of India, Ayurveda, offers a balanced and holistic multi-modality approach to treating this disorder. Many Ayurvedic modalities have been subjected to empirical scientific evaluation, but most such research has been done in India, receiving little attention in North America. This paper offers a review of the English language literature related to Ayurveda and diabetes care, encompassing herbs, diet, yoga, and meditation as modalities that are accessible and acceptable to Western clinicians and patients. There is a considerable amount of data from both animal and human trials suggesting efficacy of Ayurvedic interventions in managing diabetes. However, the reported human trials generally fall short of contemporary methodological standards. More research is needed in the area of Ayurvedic treatment of diabetes, assessing both whole practice and individual modalities.

  11. Search of medical literature for indoor carbon monoxide exposure

    Energy Technology Data Exchange (ETDEWEB)

    Brennan, T.; Ivanovich, M.

    1995-12-01

    This report documents a literature search on carbon monoxide. The search was limited to the medical and toxicological databases at the National Library of Medicine (MEDLARS). The databases searched were Medline, Toxline and TOXNET. Searches were performed using a variety of strategies. Combinations of the following keywords were used: carbon, monoxide, accidental, residential, occult, diagnosis, misdiagnosis, heating, furnace, and indoor. The literature was searched from 1966 to the present. Over 1000 references were identified and summarized using the following abbreviations: The major findings of the search are: (1) Acute and subacute carbon monoxide exposures result in a large number of symptoms affecting the brain, kidneys, respiratory system, retina, and motor functions. (2) Acute and subacute carbon monoxide (CO) poisonings have been misdiagnosed on many occasions. (3) Very few systematic investigations have been made into the frequency and consequences of carbon monoxide poisonings.

  12. Facilitating Full-text Access to Biomedical Literature Using Open Access Resources.

    Science.gov (United States)

    Kang, Hongyu; Hou, Zhen; Li, Jiao

    2015-01-01

    Open access (OA) resources and local libraries often have their own literature databases, especially in the field of biomedicine. We have developed a method of linking a local library to a biomedical OA resource facilitating researchers' full-text article access. The method uses a model based on vector space to measure similarities between two articles in local library and OA resources. The method achieved an F-score of 99.61%. This method of article linkage and mapping between local library and OA resources is available for use. Through this work, we have improved the full-text access of the biomedical OA resources.

  13. Annotating the biomedical literature for the human variome.

    Science.gov (United States)

    Verspoor, Karin; Jimeno Yepes, Antonio; Cavedon, Lawrence; McIntosh, Tara; Herten-Crabb, Asha; Thomas, Zoë; Plazzer, John-Paul

    2013-01-01

    This article introduces the Variome Annotation Schema, a schema that aims to capture the core concepts and relations relevant to cataloguing and interpreting human genetic variation and its relationship to disease, as described in the published literature. The schema was inspired by the needs of the database curators of the International Society for Gastrointestinal Hereditary Tumours (InSiGHT) database, but is intended to have application to genetic variation information in a range of diseases. The schema has been applied to a small corpus of full text journal publications on the subject of inherited colorectal cancer. We show that the inter-annotator agreement on annotation of this corpus ranges from 0.78 to 0.95 F-score across different entity types when exact matching is measured, and improves to a minimum F-score of 0.87 when boundary matching is relaxed. Relations show more variability in agreement, but several are reliable, with the highest, cohort-has-size, reaching 0.90 F-score. We also explore the relevance of the schema to the InSiGHT database curation process. The schema and the corpus represent an important new resource for the development of text mining solutions that address relationships among patient cohorts, disease and genetic variation, and therefore, we also discuss the role text mining might play in the curation of information related to the human variome. The corpus is available at http://opennicta.com/home/health/variome.

  14. Excluding the poor from accessing biomedical literature: a rights violation that impedes global health.

    Science.gov (United States)

    Yamey, Gavin

    2008-01-01

    Most biomedical journals charge readers a hefty access toll to read the full text version of a published research article. These tolls bring enormous profits to the traditional corporate publishing industry, but they make it impossible for most people worldwide--particularly in low and middle income countries--to access the biomedical literature. Traditional publishers also insist on owning the copyright on these articles, making it illegal for readers to freely distribute and photocopy papers, translate them, or create derivative educational works. This article argues that excluding the poor from accessing and freely using the biomedical research literature is harming global public health. Health care workers, for example, are prevented from accessing the information they need to practice effective medicine, while policymakers are prevented from accessing the essential knowledge they require to build better health care systems. The author proposes that the biomedical literature should be considered a global public good, basing his arguments upon longstanding and recent international declarations that enshrine access to scientific and medical knowledge as a human right. He presents an emerging alternative publishing model, called open access, and argues that this model is a more socially responsive and equitable approach to knowledge dissemination.

  15. Thick-film analysis: literature search and bibliography

    International Nuclear Information System (INIS)

    Gehman, R.W.

    1981-09-01

    A literature search was conducted to support development of in-house diagnostic testing of thick film materials for hybrid microcircuits. A background literature review covered thick film formulation, processing, structure, and performance. Important material properties and tests were identified and several test procedures were obtained. Several tests were selected for thick film diagnosis at Bendix Kansas City. 126 references

  16. An Exercise to Coach Students on Literature Searching

    Science.gov (United States)

    Graham, Kate J.; Schaller, Chris P.; Jones, T. Nicholas

    2015-01-01

    The ability to access chemical literature is an important skill for the developing chemist. Although the College of Saint Benedict and Saint John's University chemistry department had implemented a variety of individual exercises into the introductory course sequence to help students develop literature searching skills, second-year students still…

  17. Economies of scale and scope in publicly funded biomedical and health research: evidence from the literature.

    Science.gov (United States)

    Hernandez-Villafuerte, Karla; Sussex, Jon; Robin, Enora; Guthrie, Sue; Wooding, Steve

    2017-02-02

    Publicly funded biomedical and health research is expected to achieve the best return possible for taxpayers and for society generally. It is therefore important to know whether such research is more productive if concentrated into a small number of 'research groups' or dispersed across many. We undertook a systematic rapid evidence assessment focused on the research question: do economies of scale and scope exist in biomedical and health research? In other words, is that research more productive per unit of cost if more of it, or a wider variety of it, is done in one location? We reviewed English language literature without date restriction to the end of 2014. To help us to classify and understand that literature, we first undertook a review of econometric literature discussing models for analysing economies of scale and/or scope in research generally (not limited to biomedical and health research). We found a large and disparate literature. We reviewed 60 empirical studies of (dis-)economies of scale and/or scope in biomedical and health research, or in categories of research including or overlapping with biomedical and health research. This literature is varied in methods and findings. At the level of universities or research institutes, studies more often point to positive economies of scale than to diseconomies of scale or constant returns to scale in biomedical and health research. However, all three findings exist in the literature, along with inverse U-shaped relationships. At the level of individual research units, laboratories or projects, the numbers of studies are smaller and evidence is mixed. Concerning economies of scope, the literature more often suggests positive economies of scope than diseconomies, but the picture is again mixed. The effect of varying the scope of activities by a research group was less often reported than the effect of scale and the results were more mixed. The absence of predominant findings for or against the existence of

  18. Managing Large-Volume Literature Searches in Research Synthesis Studies

    Science.gov (United States)

    Havill, Nancy L.; Leeman, Jennifer; Shaw-Kokot, Julia; Knafl, Kathleen; Crandell, Jamie; Sandelowski, Margarete

    2014-01-01

    Background Systematic reviews typically require searching for, retrieving, and screening a large volume of literature, yet little guidance is available on how to manage this volume. Purpose We detail methods used to search for and manage the yield of relevant citations for a mixed-methods mixed research synthesis study focused on the intersection between family life and childhood chronic physical conditions. Method We designed inclusive search strings and searched nine bibliographic databases to identify relevant research regardless of methodological origin. We customized searches to individual databases, developed workarounds for transferring large volumes of citations and eliminating duplicate citations using reference management software, and used this software as a portal to select citations for inclusion or exclusion. We identified 67,555 citations, retrieved and screened 3,617 reports, and selected 802 reports for inclusion. Discussion/Conclusions Systematic reviews require search procedures to allow consistent and comprehensive approaches and the ability to work around technical obstacles. PMID:24345615

  19. Using Ontology Fingerprints to disambiguate gene name entities in the biomedical literature.

    Science.gov (United States)

    Chen, Guocai; Zhao, Jieyi; Cohen, Trevor; Tao, Cui; Sun, Jingchun; Xu, Hua; Bernstam, Elmer V; Lawson, Andrew; Zeng, Jia; Johnson, Amber M; Holla, Vijaykumar; Bailey, Ann M; Lara-Guerra, Humberto; Litzenburger, Beate; Meric-Bernstam, Funda; Jim Zheng, W

    2015-01-01

    Ambiguous gene names in the biomedical literature are a barrier to accurate information extraction. To overcome this hurdle, we generated Ontology Fingerprints for selected genes that are relevant for personalized cancer therapy. These Ontology Fingerprints were used to evaluate the association between genes and biomedical literature to disambiguate gene names. We obtained 93.6% precision for the test gene set and 80.4% for the area under a receiver-operating characteristics curve for gene and article association. The core algorithm was implemented using a graphics processing unit-based MapReduce framework to handle big data and to improve performance. We conclude that Ontology Fingerprints can help disambiguate gene names mentioned in text and analyse the association between genes and articles. Database URL: http://www.ontologyfingerprint.org © The Author(s) 2015. Published by Oxford University Press.

  20. Semantic characteristics of NLP-extracted concepts in clinical notes vs. biomedical literature.

    Science.gov (United States)

    Wu, Stephen; Liu, Hongfang

    2011-01-01

    Natural language processing (NLP) has become crucial in unlocking information stored in free text, from both clinical notes and biomedical literature. Clinical notes convey clinical information related to individual patient health care, while biomedical literature communicates scientific findings. This work focuses on semantic characterization of texts at an enterprise scale, comparing and contrasting the two domains and their NLP approaches. We analyzed the empirical distributional characteristics of NLP-discovered named entities in Mayo Clinic clinical notes from 2001-2010, and in the 2011 MetaMapped Medline Baseline. We give qualitative and quantitative measures of domain similarity and point to the feasibility of transferring resources and techniques. An important by-product for this study is the development of a weighted ontology for each domain, which gives distributional semantic information that may be used to improve NLP applications.

  1. G-Bean: an ontology-graph based web tool for biomedical literature retrieval.

    Science.gov (United States)

    Wang, James Z; Zhang, Yuanyuan; Dong, Liang; Li, Lin; Srimani, Pradip K; Yu, Philip S

    2014-01-01

    Currently, most people use NCBI's PubMed to search the MEDLINE database, an important bibliographical information source for life science and biomedical information. However, PubMed has some drawbacks that make it difficult to find relevant publications pertaining to users' individual intentions, especially for non-expert users. To ameliorate the disadvantages of PubMed, we developed G-Bean, a graph based biomedical search engine, to search biomedical articles in MEDLINE database more efficiently. G-Bean addresses PubMed's limitations with three innovations: (1) Parallel document index creation: a multithreaded index creation strategy is employed to generate the document index for G-Bean in parallel; (2) Ontology-graph based query expansion: an ontology graph is constructed by merging four major UMLS (Version 2013AA) vocabularies, MeSH, SNOMEDCT, CSP and AOD, to cover all concepts in National Library of Medicine (NLM) database; a Personalized PageRank algorithm is used to compute concept relevance in this ontology graph and the Term Frequency - Inverse Document Frequency (TF-IDF) weighting scheme is used to re-rank the concepts. The top 500 ranked concepts are selected for expanding the initial query to retrieve more accurate and relevant information; (3) Retrieval and re-ranking of documents based on user's search intention: after the user selects any article from the existing search results, G-Bean analyzes user's selections to determine his/her true search intention and then uses more relevant and more specific terms to retrieve additional related articles. The new articles are presented to the user in the order of their relevance to the already selected articles. Performance evaluation with 106 OHSUMED benchmark queries shows that G-Bean returns more relevant results than PubMed does when using these queries to search the MEDLINE database. PubMed could not even return any search result for some OHSUMED queries because it failed to form the appropriate Boolean

  2. How to Search, Write, Prepare and Publish the Scientific Papers in the Biomedical Journals

    Science.gov (United States)

    Masic, Izet

    2011-01-01

    This article describes the methodology of preparation, writing and publishing scientific papers in biomedical journals. given is a concise overview of the concept and structure of the System of biomedical scientific and technical information and the way of biomedical literature retreival from worldwide biomedical databases. Described are the scientific and professional medical journals that are currently published in Bosnia and Herzegovina. Also, given is the comparative review on the number and structure of papers published in indexed journals in Bosnia and Herzegovina, which are listed in the Medline database. Analyzed are three B&H journals indexed in MEDLINE database: Medical Archives (Medicinski Arhiv), Bosnian Journal of Basic Medical Sciences and Medical Gazette (Medicinki Glasnik) in 2010. The largest number of original papers was published in the Medical Archives. There is a statistically significant difference in the number of papers published by local authors in relation to international journals in favor of the Medical Archives. True, the Journal Bosnian Journal of Basic Medical Sciences does not categorize the articles and we could not make comparisons. Journal Medical Archives and Bosnian Journal of Basic Medical Sciences by percentage published the largest number of articles by authors from Sarajevo and Tuzla, the two oldest and largest university medical centers in Bosnia and Herzegovina. The author believes that it is necessary to make qualitative changes in the reception and reviewing of papers for publication in biomedical journals published in Bosnia and Herzegovina which should be the responsibility of the separate scientific authority/ committee composed of experts in the field of medicine at the state level. PMID:23572850

  3. How to search, write, prepare and publish the scientific papers in the biomedical journals.

    Science.gov (United States)

    Masic, Izet

    2011-06-01

    This article describes the methodology of preparation, writing and publishing scientific papers in biomedical journals. given is a concise overview of the concept and structure of the System of biomedical scientific and technical information and the way of biomedical literature retreival from worldwide biomedical databases. Described are the scientific and professional medical journals that are currently published in Bosnia and Herzegovina. Also, given is the comparative review on the number and structure of papers published in indexed journals in Bosnia and Herzegovina, which are listed in the Medline database. Analyzed are three B&H journals indexed in MEDLINE database: Medical Archives (Medicinski Arhiv), Bosnian Journal of Basic Medical Sciences and Medical Gazette (Medicinki Glasnik) in 2010. The largest number of original papers was published in the Medical Archives. There is a statistically significant difference in the number of papers published by local authors in relation to international journals in favor of the Medical Archives. True, the Journal Bosnian Journal of Basic Medical Sciences does not categorize the articles and we could not make comparisons. Journal Medical Archives and Bosnian Journal of Basic Medical Sciences by percentage published the largest number of articles by authors from Sarajevo and Tuzla, the two oldest and largest university medical centers in Bosnia and Herzegovina. The author believes that it is necessary to make qualitative changes in the reception and reviewing of papers for publication in biomedical journals published in Bosnia and Herzegovina which should be the responsibility of the separate scientific authority/ committee composed of experts in the field of medicine at the state level.

  4. [Scientific output on transsexuality in the Spanish biomedical literature: bibliometric and content analyses (1973-2011)].

    Science.gov (United States)

    Navarro-Pérez, Patricia; Ortiz-Gómez, Teresa; Gil-García, Eugenia

    2015-01-01

    To explore the scientific output on transsexuality in the Spanish biomedical literature between 1973 and 2011, through bibliometric and content analyses. We carried out a descriptive, cross-sectional study of Spanish biomedical articles on transsexuality published between 1973 and 2011. The data sources consisted of Índice Médico Español and ISOC-Ciencias Sociales y Humanidades. Bibliometric and content analyses were performed. A total of 65 papers were analyzed. Knowledge on transsexuality in Spain began to appear in medical journals between 1973 and 1984. A decade of intense productivity began in 1996 and the number of journals publishing articles on transsexuality multiplied in the following years. Until 2006, the year with the most biomedical productivity, biomedical discourses reproduced representations of transsexuality anchored in biological determinism. From 2008-2011, professionals writing on the topic incorporated feminist theories and social perspectives in their discourses. In the last quarter of the twentieth century, the dominant medical discourse considered manifestations of transsexual people from a biologist perspective that conceives transsexuality as a configuration mismatch between sex and gender. The emergence of new identity categories and medical reflection from non-essentialist and non-normative gender perspectives has improved the clinical management of transsexuality. Copyright © 2014 SESPAS. Published by Elsevier Espana. All rights reserved.

  5. The comparative recall of Google Scholar versus PubMed in identical searches for biomedical systematic reviews: a review of searches used in systematic reviews.

    NARCIS (Netherlands)

    W.M. Bramer (Wichor); D. Giustini (Dean); B.M. Kramer (Bianca Mr); P.F. Anderson

    2013-01-01

    textabstractThe usefulness of Google Scholar (GS) as a bibliographic database for biomedical systematic review (SR) searching is a subject of current interest and debate in research circles. Recent research has suggested GS might even be used alone in SR searching. This assertion is challenged here

  6. Clinical leadership and nursing explored: A literature search.

    Science.gov (United States)

    Stanley, David; Stanley, Karen

    2017-10-27

    To explore what we know of the concept of clinical leadership and what the term means. Clues to the definition of clinical leadership, the attributes of effective and less effective clinical leaders, models of clinical leadership and the barriers that hinder clinical leadership development were explored. While nursing leadership and healthcare leadership are terms that have been evident in nursing and health industry literature for many decades, clinical leadership is a relatively new term and is may still be misunderstood. A search was undertaken of formal and informal literature using a library database and a range of search engines for the words "clinical leadership" and "clinical leadership in nursing." In each case, the full search parameters were employed with searches between 1974-2016. Full-text articles were requested, and English was the preferred language. In total, 3,259 publications were located through seven database search tools, although these included a large number of duplications. Following further informal searches and removing irrelevant material, 27 research or literature review focused papers were retained that included 17 qualitative studies, one quantitative study, one mixed method study, one Delphi study and two that compared other research studies. As well, five literature reviews were retained in the synthesis. The data synthesis resulted five categories: definitions of clinical leadership, characteristics most likely or least associated with clinical leadership, models applied to clinical leadership and limits to clinical leadership development. Clinical leaders are recognised for having their values and beliefs parallel their actions and interventions. They are found across the spectrum of health organisations, often at the highest level for clinical interaction, but not commonly at the highest management level in a ward or unit team and they are seen in all clinical environments. Clinical Leadership and an understanding on how

  7. Open Access Works are as Reliable as Other Publishing Models at Retracting Flawed Articles from the Biomedical Literature

    OpenAIRE

    Elizabeth Margaret Stovold

    2014-01-01

    A Review of: Peterson, G.M. (2013). Characteristics of retracted open access biomedical literature: a bibliographic analysis. Journal of the American Society for Information Science and Technology. 64(12), 2428-2436. doi: 10.1002/asi.22944 Objective – To investigate whether the rate of retracted articles and citation rates post-retraction in the biomedical literature are comparable across open access, free-to-access, or pay-to-access journals. Design – Citation analysis. Sett...

  8. Biomedical literature classification using encyclopedic knowledge: a Wikipedia-based bag-of-concepts approach

    Directory of Open Access Journals (Sweden)

    Marcos Antonio Mouriño García

    2015-09-01

    Full Text Available Automatic classification of text documents into a set of categories has a lot of applications. Among those applications, the automatic classification of biomedical literature stands out as an important application for automatic document classification strategies. Biomedical staff and researchers have to deal with a lot of literature in their daily activities, so it would be useful a system that allows for accessing to documents of interest in a simple and effective way; thus, it is necessary that these documents are sorted based on some criteria—that is to say, they have to be classified. Documents to classify are usually represented following the bag-of-words (BoW paradigm. Features are words in the text—thus suffering from synonymy and polysemy—and their weights are just based on their frequency of occurrence. This paper presents an empirical study of the efficiency of a classifier that leverages encyclopedic background knowledge—concretely Wikipedia—in order to create bag-of-concepts (BoC representations of documents, understanding concept as “unit of meaning”, and thus tackling synonymy and polysemy. Besides, the weighting of concepts is based on their semantic relevance in the text. For the evaluation of the proposal, empirical experiments have been conducted with one of the commonly used corpora for evaluating classification and retrieval of biomedical information, OHSUMED, and also with a purpose-built corpus of MEDLINE biomedical abstracts, UVigoMED. Results obtained show that the Wikipedia-based bag-of-concepts representation outperforms the classical bag-of-words representation up to 157% in the single-label classification problem and up to 100% in the multi-label problem for OHSUMED corpus, and up to 122% in the single-label classification problem and up to 155% in the multi-label problem for UVigoMED corpus.

  9. The importance of species name synonyms in literature searches

    Science.gov (United States)

    Guala, Gerald

    2016-01-01

    The synonyms of biological species names are shown to be an important component in comprehensive searches of electronic scientific literature databases but they are not well leveraged within the major literature databases examined. For accepted or valid species names in the Integrated Taxonomic Information System (ITIS) which have synonyms in the system, and which are found in citations within PLoS, PMC, PubMed or Scopus, both the percentage of species for which citations will not be found if synonyms are not used, and the percentage increase in number of citations found by including synonyms are very often substantial. However, there is no correlation between the number of synonyms per species and the magnitude of the effect. Further, the number of citations found does not generally increase proportionally to the number of synonyms available. Users looking for literature on specific species across all of the resources investigated here are often missing large numbers of citations if they are not manually augmenting their searches with synonyms. Of course, missing citations can have serious consequences by effectively hiding critical information. Literature searches should include synonym relationships and a new web service in ITIS, with examples of how to apply it to this issue, was developed as a result of this study, and is here announced, to aide in this.

  10. The Importance of Species Name Synonyms in Literature Searches.

    Science.gov (United States)

    Guala, Gerald F

    2016-01-01

    The synonyms of biological species names are shown to be an important component in comprehensive searches of electronic scientific literature databases but they are not well leveraged within the major literature databases examined. For accepted or valid species names in the Integrated Taxonomic Information System (ITIS) which have synonyms in the system, and which are found in citations within PLoS, PMC, PubMed or Scopus, both the percentage of species for which citations will not be found if synonyms are not used, and the percentage increase in number of citations found by including synonyms are very often substantial. However, there is no correlation between the number of synonyms per species and the magnitude of the effect. Further, the number of citations found does not generally increase proportionally to the number of synonyms available. Users looking for literature on specific species across all of the resources investigated here are often missing large numbers of citations if they are not manually augmenting their searches with synonyms. Of course, missing citations can have serious consequences by effectively hiding critical information. Literature searches should include synonym relationships and a new web service in ITIS, with examples of how to apply it to this issue, was developed as a result of this study, and is here announced, to aide in this.

  11. The Importance of Species Name Synonyms in Literature Searches.

    Directory of Open Access Journals (Sweden)

    Gerald F Guala

    Full Text Available The synonyms of biological species names are shown to be an important component in comprehensive searches of electronic scientific literature databases but they are not well leveraged within the major literature databases examined. For accepted or valid species names in the Integrated Taxonomic Information System (ITIS which have synonyms in the system, and which are found in citations within PLoS, PMC, PubMed or Scopus, both the percentage of species for which citations will not be found if synonyms are not used, and the percentage increase in number of citations found by including synonyms are very often substantial. However, there is no correlation between the number of synonyms per species and the magnitude of the effect. Further, the number of citations found does not generally increase proportionally to the number of synonyms available. Users looking for literature on specific species across all of the resources investigated here are often missing large numbers of citations if they are not manually augmenting their searches with synonyms. Of course, missing citations can have serious consequences by effectively hiding critical information. Literature searches should include synonym relationships and a new web service in ITIS, with examples of how to apply it to this issue, was developed as a result of this study, and is here announced, to aide in this.

  12. Objective and automated protocols for the evaluation of biomedical search engines using No Title Evaluation protocols.

    Science.gov (United States)

    Campagne, Fabien

    2008-02-29

    The evaluation of information retrieval techniques has traditionally relied on human judges to determine which documents are relevant to a query and which are not. This protocol is used in the Text Retrieval Evaluation Conference (TREC), organized annually for the past 15 years, to support the unbiased evaluation of novel information retrieval approaches. The TREC Genomics Track has recently been introduced to measure the performance of information retrieval for biomedical applications. We describe two protocols for evaluating biomedical information retrieval techniques without human relevance judgments. We call these protocols No Title Evaluation (NT Evaluation). The first protocol measures performance for focused searches, where only one relevant document exists for each query. The second protocol measures performance for queries expected to have potentially many relevant documents per query (high-recall searches). Both protocols take advantage of the clear separation of titles and abstracts found in Medline. We compare the performance obtained with these evaluation protocols to results obtained by reusing the relevance judgments produced in the 2004 and 2005 TREC Genomics Track and observe significant correlations between performance rankings generated by our approach and TREC. Spearman's correlation coefficients in the range of 0.79-0.92 are observed comparing bpref measured with NT Evaluation or with TREC evaluations. For comparison, coefficients in the range 0.86-0.94 can be observed when evaluating the same set of methods with data from two independent TREC Genomics Track evaluations. We discuss the advantages of NT Evaluation over the TRels and the data fusion evaluation protocols introduced recently. Our results suggest that the NT Evaluation protocols described here could be used to optimize some search engine parameters before human evaluation. Further research is needed to determine if NT Evaluation or variants of these protocols can fully substitute

  13. Connecting Archaeological Data and Grey Literature via Semantic Cross Search

    Directory of Open Access Journals (Sweden)

    Douglas Tudhope

    2011-07-01

    Full Text Available Differing terminology and database structure hinders meaningful cross search of excavation datasets. Matching free text grey literature reports with datasets poses yet more challenges. Conventional search techniques are unable to cross search between archaeological datasets and Web-based grey literature. Results are reported from two AHRC funded research projects that investigated the use of semantic techniques to link digital archive databases, vocabularies and associated grey literature. STAR (Semantic Technologies for Archaeological Resources was a collaboration between the University of Glamorgan, Hypermedia Research Unit and English Heritage (EH. The main outcome is a research Demonstrator (available online, which cross searches over excavation datasets from different database schemas, including Raunds Roman, Raunds Prehistoric, Museum of London, Silchester Roman and Stanwick sampling. The system additionally cross searches over an extract of excavation reports from the OASIS index of grey literature, operated by the Archaeology Data Service (ADS. A conceptual framework provided by the CIDOC Conceptual Reference Model (CRM integrates the different database structures and the metadata automatically generated from the OASIS reports by natural language processing techniques. The methods employed for extracting semantic RDF representations from the datasets and the information extraction from grey literature are described. The STELLAR project provides freely available tools to reduce the costs of mapping and extracting data to semantic search systems such as the Demonstrator and to linked data representation generally. Detailed use scenarios (and a screen capture video provide a basis for a discussion of key issues, including cost-benefits, ontology modelling, mapping, terminology control, semantic implementation and information extraction issues. The scenarios show that semantic interoperability can be achieved by mapping and extracting

  14. Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure.

    Science.gov (United States)

    P Tafti, Ahmad; Badger, Jonathan; LaRose, Eric; Shirzadi, Ehsan; Mahnke, Andrea; Mayer, John; Ye, Zhan; Page, David; Peissig, Peggy

    2017-12-08

    The study of adverse drug events (ADEs) is a tenured topic in medical literature. In recent years, increasing numbers of scientific articles and health-related social media posts have been generated and shared daily, albeit with very limited use for ADE study and with little known about the content with respect to ADEs. The aim of this study was to develop a big data analytics strategy that mines the content of scientific articles and health-related Web-based social media to detect and identify ADEs. We analyzed the following two data sources: (1) biomedical articles and (2) health-related social media blog posts. We developed an intelligent and scalable text mining solution on big data infrastructures composed of Apache Spark, natural language processing, and machine learning. This was combined with an Elasticsearch No-SQL distributed database to explore and visualize ADEs. The accuracy, precision, recall, and area under receiver operating characteristic of the system were 92.7%, 93.6%, 93.0%, and 0.905, respectively, and showed better results in comparison with traditional approaches in the literature. This work not only detected and classified ADE sentences from big data biomedical literature but also scientifically visualized ADE interactions. To the best of our knowledge, this work is the first to investigate a big data machine learning strategy for ADE discovery on massive datasets downloaded from PubMed Central and social media. This contribution illustrates possible capacities in big data biomedical text analysis using advanced computational methods with real-time update from new data published on a daily basis. ©Ahmad P Tafti, Jonathan Badger, Eric LaRose, Ehsan Shirzadi, Andrea Mahnke, John Mayer, Zhan Ye, David Page, Peggy Peissig. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 08.12.2017.

  15. PIMiner: A web tool for extraction of protein interactions from biomedical literature

    KAUST Repository

    Chowdhary, Rajesh

    2013-01-01

    Information on Protein Interactions (PIs) is valuable for biomedical research, but often lies buried in the scientific literature and cannot be readily retrieved. While much progress has been made over the years in extracting PIs from the literature using computational methods, there is a lack of free, public, user-friendly tools for the discovery of PIs. We developed an online tool for the extraction of PI relationships from PubMed-abstracts, which we name PIMiner. Protein pairs and the words that describe their interactions are reported by PIMiner so that new interactions can be easily detected within text. The interaction likelihood levels are reported too. The option to extract only specific types of interactions is also provided. The PIMiner server can be accessed through a web browser or remotely through a client\\'s command line. PIMiner can process 50,000 PubMed abstracts in approximately 7 min and thus appears suitable for large-scale processing of biological/biomedical literature. Copyright © 2013 Inderscience Enterprises Ltd.

  16. Improving search filter development: a study of palliative care literature

    Directory of Open Access Journals (Sweden)

    Tieman Jennifer

    2007-06-01

    Full Text Available Abstract Background It is difficult to systematically search for literature relevant to palliative care in general medical journals. A previously developed search filter for use on OVID Medline validated using a gold standard set of references identified through hand searching, achieved an unacceptably low sensitivity (45.4%. Retrieving relevant literature is integral to support evidence based practice, and understanding the nature of the incorrectly excluded citations (false negatives using the filter may lead to improvement in the filter's performance. Methods The objectives were to describe the nature of subjects reflected in the false negative citations and to empirically improve the sensitivity of the search filter. A thematic analysis of MeSH terms by three independent reviewers was used to describe the subject coverage of the missed records. Using a frequency analysis of MeSH terms, those headings which could individually contribute at least 2.5% to sensitivity (occurring 19 or more times were added to the search filter. All previously run searches were rerun at the same time as the revised filter, and results compared. Results Thematic analysis of MeSH terms identified thirteen themes reflected in the missing records, none of them intrinsically palliative. The addition of six MeSH terms to the existing search filter (physician-patient relations, prognosis, quality of life, survival rate, treatment outcome and attitude to health led to an increase in sensitivity from 46.3% to 64.7%, offset by a decrease in precision from 72.6% to 21.9%. Conclusion The filter's sensitivity was successfully increased using frequency analysis of MeSH terms, offset by a decrease in precision. A thematic analysis of MeSH terms for the false negative citations confirmed the absence of any intrinsically palliative theme or term, suggesting that future improvements to search filters for palliative care literature will first depend on better identifying how

  17. Automated extraction and semantic analysis of mutation impacts from the biomedical literature.

    Science.gov (United States)

    Naderi, Nona; Witte, René

    2012-06-18

    Mutations as sources of evolution have long been the focus of attention in the biomedical literature. Accessing the mutational information and their impacts on protein properties facilitates research in various domains, such as enzymology and pharmacology. However, manually curating the rich and fast growing repository of biomedical literature is expensive and time-consuming. As a solution, text mining approaches have increasingly been deployed in the biomedical domain. While the detection of single-point mutations is well covered by existing systems, challenges still exist in grounding impacts to their respective mutations and recognizing the affected protein properties, in particular kinetic and stability properties together with physical quantities. We present an ontology model for mutation impacts, together with a comprehensive text mining system for extracting and analysing mutation impact information from full-text articles. Organisms, as sources of proteins, are extracted to help disambiguation of genes and proteins. Our system then detects mutation series to correctly ground detected impacts using novel heuristics. It also extracts the affected protein properties, in particular kinetic and stability properties, as well as the magnitude of the effects and validates these relations against the domain ontology. The output of our system can be provided in various formats, in particular by populating an OWL-DL ontology, which can then be queried to provide structured information. The performance of the system is evaluated on our manually annotated corpora. In the impact detection task, our system achieves a precision of 70.4%-71.1%, a recall of 71.3%-71.5%, and grounds the detected impacts with an accuracy of 76.5%-77%. The developed system, including resources, evaluation data and end-user and developer documentation is freely available under an open source license at http://www.semanticsoftware.info/open-mutation-miner. We present Open Mutation Miner (OMM

  18. Paramedic literature search filters: optimised for clinicians and academics.

    Science.gov (United States)

    Olaussen, Alexander; Semple, William; Oteir, Alaa; Todd, Paula; Williams, Brett

    2017-10-11

    Search filters aid clinicians and academics to accurately locate literature. Despite this, there is no search filter or Medical Subject Headings (MeSH) term pertaining to paramedics. Therefore, the aim of this study was to create two filters to meet to different needs of paramedic clinicians and academics. We created a gold standard from a reference set, which we measured against single terms and search filters. The words and phrases used stemmed from selective exclusion of terms from the previously published Prehospital Search Filter 2.0 as well as a Delphi session with an expert panel of paramedic researchers. Independent authors deemed articles paramedic-relevant or not following an agreed definition. We measured sensitivity, specificity, accuracy and number needed to read (NNR). We located 2102 articles of which 431 (20.5%) related to paramedics. The performance of single terms was on average of high specificity (97.1% (Standard Deviation 7.4%), but of poor sensitivity (12.0%, SD 18.7%). The NNR ranged from 1 to 8.6. The sensitivity-maximising search filter yielded 98.4% sensitivity, with a specificity of 74.3% and a NNR of 2. The specificity-maximising filter achieved 88.3% in specificity, which only lowered the sensitivity to 94.7%, and thus a NNR of 1.48. We have created the first two paramedic specific search filters, one optimised for sensitivity and one optimised for specificity. The sensitivity-maximising search filter yielded 98.4% sensitivity, and a NNR of 2. The specificity-maximising filter achieved 88.3% in specificity, which only lowered the sensitivity to 94.7%, and a NNR of 1.48. A paramedic MeSH term is needed.

  19. A coherent graph-based semantic clustering and summarization approach for biomedical literature and a new summarization evaluation method.

    Science.gov (United States)

    Yoo, Illhoi; Hu, Xiaohua; Song, Il-Yeol

    2007-11-27

    A huge amount of biomedical textual information has been produced and collected in MEDLINE for decades. In order to easily utilize biomedical information in the free text, document clustering and text summarization together are used as a solution for text information overload problem. In this paper, we introduce a coherent graph-based semantic clustering and summarization approach for biomedical literature. Our extensive experimental results show the approach shows 45% cluster quality improvement and 72% clustering reliability improvement, in terms of misclassification index, over Bisecting K-means as a leading document clustering approach. In addition, our approach provides concise but rich text summary in key concepts and sentences. Our coherent biomedical literature clustering and summarization approach that takes advantage of ontology-enriched graphical representations significantly improves the quality of document clusters and understandability of documents through summaries.

  20. [Advanced online search techniques and dedicated search engines for physicians].

    Science.gov (United States)

    Nahum, Yoav

    2008-02-01

    In recent years search engines have become an essential tool in the work of physicians. This article will review advanced search techniques from the world of information specialists, as well as some advanced search engine operators that may help physicians improve their online search capabilities, and maximize the yield of their searches. This article also reviews popular dedicated scientific and biomedical literature search engines.

  1. Development and evaluation of a biomedical search engine using a predicate-based vector space model.

    Science.gov (United States)

    Kwak, Myungjae; Leroy, Gondy; Martinez, Jesse D; Harwell, Jeffrey

    2013-10-01

    Although biomedical information available in articles and patents is increasing exponentially, we continue to rely on the same information retrieval methods and use very few keywords to search millions of documents. We are developing a fundamentally different approach for finding much more precise and complete information with a single query using predicates instead of keywords for both query and document representation. Predicates are triples that are more complex datastructures than keywords and contain more structured information. To make optimal use of them, we developed a new predicate-based vector space model and query-document similarity function with adjusted tf-idf and boost function. Using a test bed of 107,367 PubMed abstracts, we evaluated the first essential function: retrieving information. Cancer researchers provided 20 realistic queries, for which the top 15 abstracts were retrieved using a predicate-based (new) and keyword-based (baseline) approach. Each abstract was evaluated, double-blind, by cancer researchers on a 0-5 point scale to calculate precision (0 versus higher) and relevance (0-5 score). Precision was significantly higher (psearching than keywords, laying the foundation for rich and sophisticated information search. Copyright © 2013 Elsevier Inc. All rights reserved.

  2. Trends in citations to books on epidemiological and statistical methods in the biomedical literature.

    Science.gov (United States)

    Porta, Miquel; Vandenbroucke, Jan P; Ioannidis, John P A; Sanz, Sergio; Fernandez, Esteve; Bhopal, Raj; Morabia, Alfredo; Victora, Cesar; Lopez, Tomàs

    2013-01-01

    There are no analyses of citations to books on epidemiological and statistical methods in the biomedical literature. Such analyses may shed light on how concepts and methods changed while biomedical research evolved. Our aim was to analyze the number and time trends of citations received from biomedical articles by books on epidemiological and statistical methods, and related disciplines. The data source was the Web of Science. The study books were published between 1957 and 2010. The first year of publication of the citing articles was 1945. We identified 125 books that received at least 25 citations. Books first published in 1980-1989 had the highest total and median number of citations per year. Nine of the 10 most cited texts focused on statistical methods. Hosmer & Lemeshow's Applied logistic regression received the highest number of citations and highest average annual rate. It was followed by books by Fleiss, Armitage, et al., Rothman, et al., and Kalbfleisch and Prentice. Fifth in citations per year was Sackett, et al., Evidence-based medicine. The rise of multivariate methods, clinical epidemiology, or nutritional epidemiology was reflected in the citation trends. Educational textbooks, practice-oriented books, books on epidemiological substantive knowledge, and on theory and health policies were much less cited. None of the 25 top-cited books had the theoretical or sociopolitical scope of works by Cochrane, McKeown, Rose, or Morris. Books were mainly cited to reference methods. Books first published in the 1980s continue to be most influential. Older books on theory and policies were rooted in societal and general medical concerns, while the most modern books are almost purely on methods.

  3. Trends in citations to books on epidemiological and statistical methods in the biomedical literature.

    Directory of Open Access Journals (Sweden)

    Miquel Porta

    Full Text Available BACKGROUND: There are no analyses of citations to books on epidemiological and statistical methods in the biomedical literature. Such analyses may shed light on how concepts and methods changed while biomedical research evolved. Our aim was to analyze the number and time trends of citations received from biomedical articles by books on epidemiological and statistical methods, and related disciplines. METHODS AND FINDINGS: The data source was the Web of Science. The study books were published between 1957 and 2010. The first year of publication of the citing articles was 1945. We identified 125 books that received at least 25 citations. Books first published in 1980-1989 had the highest total and median number of citations per year. Nine of the 10 most cited texts focused on statistical methods. Hosmer & Lemeshow's Applied logistic regression received the highest number of citations and highest average annual rate. It was followed by books by Fleiss, Armitage, et al., Rothman, et al., and Kalbfleisch and Prentice. Fifth in citations per year was Sackett, et al., Evidence-based medicine. The rise of multivariate methods, clinical epidemiology, or nutritional epidemiology was reflected in the citation trends. Educational textbooks, practice-oriented books, books on epidemiological substantive knowledge, and on theory and health policies were much less cited. None of the 25 top-cited books had the theoretical or sociopolitical scope of works by Cochrane, McKeown, Rose, or Morris. CONCLUSIONS: Books were mainly cited to reference methods. Books first published in the 1980s continue to be most influential. Older books on theory and policies were rooted in societal and general medical concerns, while the most modern books are almost purely on methods.

  4. Factors affecting the diffusion of online end user literature searching.

    Science.gov (United States)

    Ash, J S

    1999-01-01

    The aim of this study was to identify factors that affect diffusion of usage of online end user literature searching. Fifteen factors clustered into three attribute sets (innovation attributes, organizational attributes, and marketing attributes) were measured to study their effect on the diffusion of online searching within institutions. A random sample of sixty-seven academic health sciences centers was selected and then 1,335 library and informatics staff members at those institutions were surveyed by mail with electronic mail follow-up. Multiple regression analysis was performed. The survey yielded a 41% response rate with electronic mail follow-up being particularly effective. Two dependent variables, internal diffusion (spread of diffusion) and infusion (depth of diffusion), were measured. There was little correlation between them, indicating they measured different things. Fifteen independent variables clustered into three attribute sets were measured. The innovation attributes set was significant for both internal diffusion and infusion. Significant individual variables were visibility for internal diffusion and image enhancement effects (negative relation) as well as visibility for infusion (depth of diffusion). Organizational attributes were also significant predictors for both dependent variables. No individual variables were significant for internal diffusion. Communication, management support (negative relation), rewards, and existence of champions were significant for infusion. Marketing attributes were not significant predictors. Successful diffusion of online end user literature searching is dependent on the visibility of the systems, communication among, rewards to, and peers of possible users who promote use (champions). Personal image enhancement effects have a negative relation to infusion, possibly because the use of intermediaries is still seen as the more luxurious way to have searches done. Management support also has a negative relation to

  5. Comparing different knowledge sources for the automatic summarization of biomedical literature.

    Science.gov (United States)

    Plaza, Laura

    2014-12-01

    Automatic summarization of biomedical literature usually relies on domain knowledge from external sources to build rich semantic representations of the documents to be summarized. In this paper, we investigate the impact of the knowledge source used on the quality of the summaries that are generated. We present a method for representing a set of documents relevant to a given biological entity or topic as a semantic graph of domain concepts and relations. Different graphs are created by using different combinations of ontologies and vocabularies within the UMLS (including GO, SNOMED-CT, HUGO and all available vocabularies in the UMLS) to retrieve domain concepts, and different types of relationships (co-occurrence and semantic relations from the UMLS Metathesaurus and Semantic Network) are used to link the concepts in the graph. The different graphs are next used as input to a summarization system that produces summaries composed of the most relevant sentences from the original documents. Our experiments demonstrate that the choice of the knowledge source used to model the text has a significant impact on the quality of the automatic summaries. In particular, we find that, when summarizing gene-related literature, using GO, SNOMED-CT and HUGO to extract domain concepts results in significantly better summaries than using all available vocabularies in the UMLS. This finding suggests that successful biomedical summarization requires the selection of the appropriate knowledge source, whose coverage, specificity and relations must be in accordance to the type of the documents to summarize. Copyright © 2014 Elsevier Inc. All rights reserved.

  6. Quantifying the informativeness for biomedical literature summarization: An itemset mining method.

    Science.gov (United States)

    Moradi, Milad; Ghadiri, Nasser

    2017-07-01

    Automatic text summarization tools can help users in the biomedical domain to access information efficiently from a large volume of scientific literature and other sources of text documents. In this paper, we propose a summarization method that combines itemset mining and domain knowledge to construct a concept-based model and to extract the main subtopics from an input document. Our summarizer quantifies the informativeness of each sentence using the support values of itemsets appearing in the sentence. To address the concept-level analysis of text, our method initially maps the original document to biomedical concepts using the Unified Medical Language System (UMLS). Then, it discovers the essential subtopics of the text using a data mining technique, namely itemset mining, and constructs the summarization model. The employed itemset mining algorithm extracts a set of frequent itemsets containing correlated and recurrent concepts of the input document. The summarizer selects the most related and informative sentences and generates the final summary. We evaluate the performance of our itemset-based summarizer using the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) metrics, performing a set of experiments. We compare the proposed method with GraphSum, TexLexAn, SweSum, SUMMA, AutoSummarize, the term-based version of the itemset-based summarizer, and two baselines. The results show that the itemset-based summarizer performs better than the compared methods. The itemset-based summarizer achieves the best scores for all the assessed ROUGE metrics (R-1: 0.7583, R-2: 0.3381, R-W-1.2: 0.0934, and R-SU4: 0.3889). We also perform a set of preliminary experiments to specify the best value for the minimum support threshold used in the itemset mining algorithm. The results demonstrate that the value of this threshold directly affects the accuracy of the summarization model, such that a significant decrease can be observed in the performance of summarization due to

  7. Docear : An Academic Literature Suite for Searching, Organizing and Creating Academic Literature

    OpenAIRE

    Beel, Joeran; Gipp, Bela; Langer, Stefan; Genzmehr, Marcel

    2011-01-01

    In this demonstration-paper we introduce Docear, an 'academic literature suite'. Docear offers to scientists what an office suite like Microsoft Office offers to office workers. While an office suite bundles various applications for office workers (word processing, spreadsheets, presentation software, etc.), Docear bundles several applications for scientists: academic search engine, PDF reader, reference manager, word processor, mind mapping module, and recommender system. Besides Docear's ge...

  8. 76 FR 13402 - Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches...

    Science.gov (United States)

    2011-03-11

    ... Information System (IRIS); Announcement of Availability of Literature Searches for IRIS Assessments AGENCY... the literature search results and submit additional information to EPA. Request for Public Involvement... information to EPA. Literature searches are now available for cobalt (CAS No. 7440-48-4) and inorganic cobalt...

  9. 75 FR 76982 - Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches...

    Science.gov (United States)

    2010-12-10

    ... Information System (IRIS); Announcement of Availability of Literature Searches for IRIS Assessments AGENCY... is invited to review the literature search results and submit additional information to EPA. Request... additional information to EPA. Literature searches are now available for acetaldehyde (CAS No. 75-07-0...

  10. 75 FR 25239 - Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches...

    Science.gov (United States)

    2010-05-07

    ... Information System (IRIS); Announcement of Availability of Literature Searches for IRIS Assessments AGENCY... literature search results and submit additional information to EPA. Request for Public Involvement in IRIS... ). The public is invited to review the literature search results and submit additional information to EPA...

  11. Systematic review of the literature on postpartum care: methodology and literature search results.

    Science.gov (United States)

    Levitt, Cheryl; Shaw, Elizabeth; Wong, Sharon; Kaczorowski, Janusz; Springate, Russ; Sellors, John; Enkin, Murray

    2004-09-01

    The postpartum period is a time for multiple clinical interventions. To date, no critical review of these interventions exists. This systematic review examined evidence for the effectiveness of postpartum interventions that have been reported in the literature. MEDLINE, Cinahl, PsycINFO, and the Cochrane Library were searched for randomized controlled trials of interventions initiated from immediately after birth to 1 year in postnatal women that were conducted in North America, Europe, Australia, or New Zealand. The initial literature search was done in 1999, using postpartum content search terms, and was enhanced in 2003. In both years, bibliographic databases were searched from their inception. Studies were categorized into key topic areas. Data extraction forms were developed and completed for each study, and the quality of each study was systematically reviewed. Groups of studies in a topic area were reviewed together, and clinically relevant questions emanating from the studies were identified to determine whether the studies, alone or together, provided evidence to support the clinical intervention. In the 1999 search, of 671 studies identified, 140 studies were randomized controlled trials that met the selection criteria: 41 studies related to breastfeeding, 33 to postpartum perineal pain management, and 63 to 11 other key topic areas (Papanicolaou test, rubella immunization, contraception, postpartum support, early discharge, postpartum depression and anxiety, postpartum medical disorders, smoking cessation, nutrition supplements other than breastfeeding, effects of pelvic floor exercise, and effects of early newborn contact). The results of the systematic review of each topic will be summarized in separate papers as they are completed. This systematic search has identified key topic areas in postpartum care for which randomized controlled trials have been conducted. Our ultimate goal is to provide evidence-based guidelines on the use of routine postpartum

  12. Text Mining Genotype-Phenotype Relationships from Biomedical Literature for Database Curation and Precision Medicine.

    Directory of Open Access Journals (Sweden)

    Ayush Singhal

    2016-11-01

    Full Text Available The practice of precision medicine will ultimately require databases of genes and mutations for healthcare providers to reference in order to understand the clinical implications of each patient's genetic makeup. Although the highest quality databases require manual curation, text mining tools can facilitate the curation process, increasing accuracy, coverage, and productivity. However, to date there are no available text mining tools that offer high-accuracy performance for extracting such triplets from biomedical literature. In this paper we propose a high-performance machine learning approach to automate the extraction of disease-gene-variant triplets from biomedical literature. Our approach is unique because we identify the genes and protein products associated with each mutation from not just the local text content, but from a global context as well (from the Internet and from all literature in PubMed. Our approach also incorporates protein sequence validation and disease association using a novel text-mining-based machine learning approach. We extract disease-gene-variant triplets from all abstracts in PubMed related to a set of ten important diseases (breast cancer, prostate cancer, pancreatic cancer, lung cancer, acute myeloid leukemia, Alzheimer's disease, hemochromatosis, age-related macular degeneration (AMD, diabetes mellitus, and cystic fibrosis. We then evaluate our approach in two ways: (1 a direct comparison with the state of the art using benchmark datasets; (2 a validation study comparing the results of our approach with entries in a popular human-curated database (UniProt for each of the previously mentioned diseases. In the benchmark comparison, our full approach achieves a 28% improvement in F1-measure (from 0.62 to 0.79 over the state-of-the-art results. For the validation study with UniProt Knowledgebase (KB, we present a thorough analysis of the results and errors. Across all diseases, our approach returned 272 triplets

  13. Text Mining Genotype-Phenotype Relationships from Biomedical Literature for Database Curation and Precision Medicine.

    Science.gov (United States)

    Singhal, Ayush; Simmons, Michael; Lu, Zhiyong

    2016-11-01

    The practice of precision medicine will ultimately require databases of genes and mutations for healthcare providers to reference in order to understand the clinical implications of each patient's genetic makeup. Although the highest quality databases require manual curation, text mining tools can facilitate the curation process, increasing accuracy, coverage, and productivity. However, to date there are no available text mining tools that offer high-accuracy performance for extracting such triplets from biomedical literature. In this paper we propose a high-performance machine learning approach to automate the extraction of disease-gene-variant triplets from biomedical literature. Our approach is unique because we identify the genes and protein products associated with each mutation from not just the local text content, but from a global context as well (from the Internet and from all literature in PubMed). Our approach also incorporates protein sequence validation and disease association using a novel text-mining-based machine learning approach. We extract disease-gene-variant triplets from all abstracts in PubMed related to a set of ten important diseases (breast cancer, prostate cancer, pancreatic cancer, lung cancer, acute myeloid leukemia, Alzheimer's disease, hemochromatosis, age-related macular degeneration (AMD), diabetes mellitus, and cystic fibrosis). We then evaluate our approach in two ways: (1) a direct comparison with the state of the art using benchmark datasets; (2) a validation study comparing the results of our approach with entries in a popular human-curated database (UniProt) for each of the previously mentioned diseases. In the benchmark comparison, our full approach achieves a 28% improvement in F1-measure (from 0.62 to 0.79) over the state-of-the-art results. For the validation study with UniProt Knowledgebase (KB), we present a thorough analysis of the results and errors. Across all diseases, our approach returned 272 triplets (disease

  14. PreBIND and Textomy – mining the biomedical literature for protein-protein interactions using a support vector machine

    Directory of Open Access Journals (Sweden)

    Baskin Berivan

    2003-03-01

    Full Text Available Abstract Background The majority of experimentally verified molecular interaction and biological pathway data are present in the unstructured text of biomedical journal articles where they are inaccessible to computational methods. The Biomolecular interaction network database (BIND seeks to capture these data in a machine-readable format. We hypothesized that the formidable task-size of backfilling the database could be reduced by using Support Vector Machine technology to first locate interaction information in the literature. We present an information extraction system that was designed to locate protein-protein interaction data in the literature and present these data to curators and the public for review and entry into BIND. Results Cross-validation estimated the support vector machine's test-set precision, accuracy and recall for classifying abstracts describing interaction information was 92%, 90% and 92% respectively. We estimated that the system would be able to recall up to 60% of all non-high throughput interactions present in another yeast-protein interaction database. Finally, this system was applied to a real-world curation problem and its use was found to reduce the task duration by 70% thus saving 176 days. Conclusions Machine learning methods are useful as tools to direct interaction and pathway database back-filling; however, this potential can only be realized if these techniques are coupled with human review and entry into a factual database such as BIND. The PreBIND system described here is available to the public at http://bind.ca. Current capabilities allow searching for human, mouse and yeast protein-interaction information.

  15. Disease causality extraction based on lexical semantics and document-clause frequency from biomedical literature.

    Science.gov (United States)

    Lee, Dong-Gi; Shin, Hyunjung

    2017-05-18

    Recently, research on human disease network has succeeded and has become an aid in figuring out the relationship between various diseases. In most disease networks, however, the relationship between diseases has been simply represented as an association. This representation results in the difficulty of identifying prior diseases and their influence on posterior diseases. In this paper, we propose a causal disease network that implements disease causality through text mining on biomedical literature. To identify the causality between diseases, the proposed method includes two schemes: the first is the lexicon-based causality term strength, which provides the causal strength on a variety of causality terms based on lexicon analysis. The second is the frequency-based causality strength, which determines the direction and strength of causality based on document and clause frequencies in the literature. We applied the proposed method to 6,617,833 PubMed literature, and chose 195 diseases to construct a causal disease network. From all possible pairs of disease nodes in the network, 1011 causal pairs of 149 diseases were extracted. The resulting network was compared with that of a previous study. In terms of both coverage and quality, the proposed method showed outperforming results; it determined 2.7 times more causalities and showed higher correlation with associated diseases than the existing method. This research has novelty in which the proposed method circumvents the limitations of time and cost in applying all possible causalities in biological experiments and it is a more advanced text mining technique by defining the concepts of causality term strength.

  16. Resource Disambiguator for the Web: Extracting Biomedical Resources and Their Citations from the Scientific Literature.

    Directory of Open Access Journals (Sweden)

    Ibrahim Burak Ozyurt

    Full Text Available The NIF Registry developed and maintained by the Neuroscience Information Framework is a cooperative project aimed at cataloging research resources, e.g., software tools, databases and tissue banks, funded largely by governments and available as tools to research scientists. Although originally conceived for neuroscience, the NIF Registry has over the years broadened in the scope to include research resources of general relevance to biomedical research. The current number of research resources listed by the Registry numbers over 13K. The broadening in scope to biomedical science led us to re-christen the NIF Registry platform as SciCrunch. The NIF/SciCrunch Registry has been cataloging the resource landscape since 2006; as such, it serves as a valuable dataset for tracking the breadth, fate and utilization of these resources. Our experience shows research resources like databases are dynamic objects, that can change location and scope over time. Although each record is entered manually and human-curated, the current size of the registry requires tools that can aid in curation efforts to keep content up to date, including when and where such resources are used. To address this challenge, we have developed an open source tool suite, collectively termed RDW: Resource Disambiguator for the (Web. RDW is designed to help in the upkeep and curation of the registry as well as in enhancing the content of the registry by automated extraction of resource candidates from the literature. The RDW toolkit includes a URL extractor from papers, resource candidate screen, resource URL change tracker, resource content change tracker. Curators access these tools via a web based user interface. Several strategies are used to optimize these tools, including supervised and unsupervised learning algorithms as well as statistical text analysis. The complete tool suite is used to enhance and maintain the resource registry as well as track the usage of individual

  17. Resource Disambiguator for the Web: Extracting Biomedical Resources and Their Citations from the Scientific Literature.

    Science.gov (United States)

    Ozyurt, Ibrahim Burak; Grethe, Jeffrey S; Martone, Maryann E; Bandrowski, Anita E

    2016-01-01

    The NIF Registry developed and maintained by the Neuroscience Information Framework is a cooperative project aimed at cataloging research resources, e.g., software tools, databases and tissue banks, funded largely by governments and available as tools to research scientists. Although originally conceived for neuroscience, the NIF Registry has over the years broadened in the scope to include research resources of general relevance to biomedical research. The current number of research resources listed by the Registry numbers over 13K. The broadening in scope to biomedical science led us to re-christen the NIF Registry platform as SciCrunch. The NIF/SciCrunch Registry has been cataloging the resource landscape since 2006; as such, it serves as a valuable dataset for tracking the breadth, fate and utilization of these resources. Our experience shows research resources like databases are dynamic objects, that can change location and scope over time. Although each record is entered manually and human-curated, the current size of the registry requires tools that can aid in curation efforts to keep content up to date, including when and where such resources are used. To address this challenge, we have developed an open source tool suite, collectively termed RDW: Resource Disambiguator for the (Web). RDW is designed to help in the upkeep and curation of the registry as well as in enhancing the content of the registry by automated extraction of resource candidates from the literature. The RDW toolkit includes a URL extractor from papers, resource candidate screen, resource URL change tracker, resource content change tracker. Curators access these tools via a web based user interface. Several strategies are used to optimize these tools, including supervised and unsupervised learning algorithms as well as statistical text analysis. The complete tool suite is used to enhance and maintain the resource registry as well as track the usage of individual resources through an

  18. Clustering cliques for graph-based summarization of the biomedical research literature.

    Science.gov (United States)

    Zhang, Han; Fiszman, Marcelo; Shin, Dongwook; Wilkowski, Bartlomiej; Rindflesch, Thomas C

    2013-06-07

    Graph-based notions are increasingly used in biomedical data mining and knowledge discovery tasks. In this paper, we present a clique-clustering method to automatically summarize graphs of semantic predications produced from PubMed citations (titles and abstracts). SemRep is used to extract semantic predications from the citations returned by a PubMed search. Cliques were identified from frequently occurring predications with highly connected arguments filtered by degree centrality. Themes contained in the summary were identified with a hierarchical clustering algorithm based on common arguments shared among cliques. The validity of the clusters in the summaries produced was compared to the Silhouette-generated baseline for cohesion, separation and overall validity. The theme labels were also compared to a reference standard produced with major MeSH headings. For 11 topics in the testing data set, the overall validity of clusters from the system summary was 10% better than the baseline (43% versus 33%). While compared to the reference standard from MeSH headings, the results for recall, precision and F-score were 0.64, 0.65, and 0.65 respectively.

  19. Clustering cliques for graph-based summarization of the biomedical research literature

    Science.gov (United States)

    2013-01-01

    Background Graph-based notions are increasingly used in biomedical data mining and knowledge discovery tasks. In this paper, we present a clique-clustering method to automatically summarize graphs of semantic predications produced from PubMed citations (titles and abstracts). Results SemRep is used to extract semantic predications from the citations returned by a PubMed search. Cliques were identified from frequently occurring predications with highly connected arguments filtered by degree centrality. Themes contained in the summary were identified with a hierarchical clustering algorithm based on common arguments shared among cliques. The validity of the clusters in the summaries produced was compared to the Silhouette-generated baseline for cohesion, separation and overall validity. The theme labels were also compared to a reference standard produced with major MeSH headings. Conclusions For 11 topics in the testing data set, the overall validity of clusters from the system summary was 10% better than the baseline (43% versus 33%). While compared to the reference standard from MeSH headings, the results for recall, precision and F-score were 0.64, 0.65, and 0.65 respectively. PMID:23742159

  20. Extracting microRNA-gene relations from biomedical literature using distant supervision.

    Directory of Open Access Journals (Sweden)

    Andre Lamurias

    Full Text Available Many biomedical relation extraction approaches are based on supervised machine learning, requiring an annotated corpus. Distant supervision aims at training a classifier by combining a knowledge base with a corpus, reducing the amount of manual effort necessary. This is particularly useful for biomedicine because many databases and ontologies have been made available for many biological processes, while the availability of annotated corpora is still limited. We studied the extraction of microRNA-gene relations from text. MicroRNA regulation is an important biological process due to its close association with human diseases. The proposed method, IBRel, is based on distantly supervised multi-instance learning. We evaluated IBRel on three datasets, and the results were compared with a co-occurrence approach as well as a supervised machine learning algorithm. While supervised learning outperformed on two of those datasets, IBRel obtained an F-score 28.3 percentage points higher on the dataset for which there was no training set developed specifically. To demonstrate the applicability of IBRel, we used it to extract 27 miRNA-gene relations from recently published papers about cystic fibrosis. Our results demonstrate that our method can be successfully used to extract relations from literature about a biological process without an annotated corpus. The source code and data used in this study are available at https://github.com/AndreLamurias/IBRel.

  1. Distributed smoothed tree kernel for protein-protein interaction extraction from the biomedical literature.

    Directory of Open Access Journals (Sweden)

    Gurusamy Murugesan

    Full Text Available Automatic extraction of protein-protein interaction (PPI pairs from biomedical literature is a widely examined task in biological information extraction. Currently, many kernel based approaches such as linear kernel, tree kernel, graph kernel and combination of multiple kernels has achieved promising results in PPI task. However, most of these kernel methods fail to capture the semantic relation information between two entities. In this paper, we present a special type of tree kernel for PPI extraction which exploits both syntactic (structural and semantic vectors information known as Distributed Smoothed Tree kernel (DSTK. DSTK comprises of distributed trees with syntactic information along with distributional semantic vectors representing semantic information of the sentences or phrases. To generate robust machine learning model composition of feature based kernel and DSTK were combined using ensemble support vector machine (SVM. Five different corpora (AIMed, BioInfer, HPRD50, IEPA, and LLL were used for evaluating the performance of our system. Experimental results show that our system achieves better f-score with five different corpora compared to other state-of-the-art systems.

  2. Improving the biomedical research literature: insights from authors' editors can help journal editors define and refine their core competencies.

    Science.gov (United States)

    Matarese, Valerie; Shashok, Karen

    2018-01-01

    A team of stakeholders in biomedical publishing recently proposed a set of core competencies for journal editors, as a resource that can inform training programs for editors and ultimately improve the quality of the biomedical research literature. This initiative, still in its early stages, would benefit from additional sources of expert information. Based on our experiences as authors' editors, we offer two suggestions on how to strengthen these competencies so that they better respond to the needs of readers and authors - the main users of and contributors to research journals. First, journal editors should be able to ensure that authors are given useful feedback on the language and writing in submitted manuscripts, beyond a (possibly incorrect) blanket judgement of whether the English is "acceptable" or not. Second, journal editors should be able to deal effectively with inappropriate text re-use and plagiarism. These additional competencies would, we believe, be valued by other stakeholders in biomedical research publication as markers of editorial quality.

  3. Evaluating the use of different positional strategies for sentence selection in biomedical literature summarization.

    Science.gov (United States)

    Plaza, Laura; Carrillo-de-Albornoz, Jorge

    2013-02-27

    The position of a sentence in a document has been traditionally considered an indicator of the relevance of the sentence, and therefore it is frequently used by automatic summarization systems as an attribute for sentence selection. Sentences close to the beginning of the document are supposed to deal with the main topic and thus are selected for the summary. This criterion has shown to be very effective when summarizing some types of documents, such as news items. However, this property is not likely to be found in other types of documents, such as scientific articles, where other positional criteria may be preferred. The purpose of the present work is to study the utility of different positional strategies for biomedical literature summarization. We have evaluated three different positional strategies: (1) awarding the sentences at the beginning of the document, (2) preferring those at the beginning and end of the document, and (3) weighting the sentences according to the section in which they appear. To this end, we have implemented two summarizers, one based on semantic graphs and the other based on concept frequencies, and evaluated the summaries they produce when combined with each of the positional strategies above using ROUGE metrics. Our results indicate that it is possible to improve the quality of the summaries by weighting the sentences according to the section in which they appear (≈17% improvement in ROUGE-2 for the graph-based summarizer and ≈20% for the frequency-based summarizer), and that the sections containing the more salient information are the Methods and Material and the Discussion and Results ones. It has been found that the use of traditional positional criteria that award sentences at the beginning and/or the end of the document are not helpful when summarizing scientific literature. In contrast, a more appropriate strategy is that which weights sentences according to the section in which they appear.

  4. 77 FR 20817 - Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches...

    Science.gov (United States)

    2012-04-06

    ... the literature search results and submit additional information to EPA. EPA recently added 1,2,3.../iris ). The public is invited to review the literature search results and submit additional information... and 1,3,5-TMB as some of the studies included in those searches also include data and information on 1...

  5. search.bioPreprint: a discovery tool for cutting edge, preprint biomedical research articles [version 2; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    Carrie L. Iwema

    2016-07-01

    Full Text Available The time it takes for a completed manuscript to be published traditionally can be extremely lengthy. Article publication delay, which occurs in part due to constraints associated with peer review, can prevent the timely dissemination of critical and actionable data associated with new information on rare diseases or developing health concerns such as Zika virus. Preprint servers are open access online repositories housing preprint research articles that enable authors (1 to make their research immediately and freely available and (2 to receive commentary and peer review prior to journal submission. There is a growing movement of preprint advocates aiming to change the current journal publication and peer review system, proposing that preprints catalyze biomedical discovery, support career advancement, and improve scientific communication. While the number of articles submitted to and hosted by preprint servers are gradually increasing, there has been no simple way to identify biomedical research published in a preprint format, as they are not typically indexed and are only discoverable by directly searching the specific preprint server websites. To address this issue, we created a search engine that quickly compiles preprints from disparate host repositories and provides a one-stop search solution. Additionally, we developed a web application that bolsters the discovery of preprints by enabling each and every word or phrase appearing on any web site to be integrated with articles from preprint servers. This tool, search.bioPreprint, is publicly available at http://www.hsls.pitt.edu/resources/preprint.

  6. Synonym set extraction from the biomedical literature by lexical pattern discovery

    Directory of Open Access Journals (Sweden)

    Collier Nigel

    2008-03-01

    Full Text Available Abstract Background Although there are a large number of thesauri for the biomedical domain many of them lack coverage in terms and their variant forms. Automatic thesaurus construction based on patterns was first suggested by Hearst 1, but it is still not clear how to automatically construct such patterns for different semantic relations and domains. In particular it is not certain which patterns are useful for capturing synonymy. The assumption of extant resources such as parsers is also a limiting factor for many languages, so it is desirable to find patterns that do not use syntactical analysis. Finally to give a more consistent and applicable result it is desirable to use these patterns to form synonym sets in a sound way. Results We present a method that automatically generates regular expression patterns by expanding seed patterns in a heuristic search and then develops a feature vector based on the occurrence of term pairs in each developed pattern. This allows for a binary classifications of term pairs as synonymous or non-synonymous. We then model this result as a probability graph to find synonym sets, which is equivalent to the well-studied problem of finding an optimal set cover. We achieved 73.2% precision and 29.7% recall by our method, out-performing hand-made resources such as MeSH and Wikipedia. Conclusion We conclude that automatic methods can play a practical role in developing new thesauri or expanding on existing ones, and this can be done with only a small amount of training data and no need for resources such as parsers. We also concluded that the accuracy can be improved by grouping into synonym sets.

  7. The Role of Google Scholar in Evidence Reviews and Its Applicability to Grey Literature Searching.

    Directory of Open Access Journals (Sweden)

    Neal Robert Haddaway

    Full Text Available Google Scholar (GS, a commonly used web-based academic search engine, catalogues between 2 and 100 million records of both academic and grey literature (articles not formally published by commercial academic publishers. Google Scholar collates results from across the internet and is free to use. As a result it has received considerable attention as a method for searching for literature, particularly in searches for grey literature, as required by systematic reviews. The reliance on GS as a standalone resource has been greatly debated, however, and its efficacy in grey literature searching has not yet been investigated. Using systematic review case studies from environmental science, we investigated the utility of GS in systematic reviews and in searches for grey literature. Our findings show that GS results contain moderate amounts of grey literature, with the majority found on average at page 80. We also found that, when searched for specifically, the majority of literature identified using Web of Science was also found using GS. However, our findings showed moderate/poor overlap in results when similar search strings were used in Web of Science and GS (10-67%, and that GS missed some important literature in five of six case studies. Furthermore, a general GS search failed to find any grey literature from a case study that involved manual searching of organisations' websites. If used in systematic reviews for grey literature, we recommend that searches of article titles focus on the first 200 to 300 results. We conclude that whilst Google Scholar can find much grey literature and specific, known studies, it should not be used alone for systematic review searches. Rather, it forms a powerful addition to other traditional search methods. In addition, we advocate the use of tools to transparently document and catalogue GS search results to maintain high levels of transparency and the ability to be updated, critical to systematic reviews.

  8. The Role of Google Scholar in Evidence Reviews and Its Applicability to Grey Literature Searching.

    Science.gov (United States)

    Haddaway, Neal Robert; Collins, Alexandra Mary; Coughlin, Deborah; Kirk, Stuart

    2015-01-01

    Google Scholar (GS), a commonly used web-based academic search engine, catalogues between 2 and 100 million records of both academic and grey literature (articles not formally published by commercial academic publishers). Google Scholar collates results from across the internet and is free to use. As a result it has received considerable attention as a method for searching for literature, particularly in searches for grey literature, as required by systematic reviews. The reliance on GS as a standalone resource has been greatly debated, however, and its efficacy in grey literature searching has not yet been investigated. Using systematic review case studies from environmental science, we investigated the utility of GS in systematic reviews and in searches for grey literature. Our findings show that GS results contain moderate amounts of grey literature, with the majority found on average at page 80. We also found that, when searched for specifically, the majority of literature identified using Web of Science was also found using GS. However, our findings showed moderate/poor overlap in results when similar search strings were used in Web of Science and GS (10-67%), and that GS missed some important literature in five of six case studies. Furthermore, a general GS search failed to find any grey literature from a case study that involved manual searching of organisations' websites. If used in systematic reviews for grey literature, we recommend that searches of article titles focus on the first 200 to 300 results. We conclude that whilst Google Scholar can find much grey literature and specific, known studies, it should not be used alone for systematic review searches. Rather, it forms a powerful addition to other traditional search methods. In addition, we advocate the use of tools to transparently document and catalogue GS search results to maintain high levels of transparency and the ability to be updated, critical to systematic reviews.

  9. The Role of Google Scholar in Evidence Reviews and Its Applicability to Grey Literature Searching

    Science.gov (United States)

    Haddaway, Neal Robert; Collins, Alexandra Mary; Coughlin, Deborah; Kirk, Stuart

    2015-01-01

    Google Scholar (GS), a commonly used web-based academic search engine, catalogues between 2 and 100 million records of both academic and grey literature (articles not formally published by commercial academic publishers). Google Scholar collates results from across the internet and is free to use. As a result it has received considerable attention as a method for searching for literature, particularly in searches for grey literature, as required by systematic reviews. The reliance on GS as a standalone resource has been greatly debated, however, and its efficacy in grey literature searching has not yet been investigated. Using systematic review case studies from environmental science, we investigated the utility of GS in systematic reviews and in searches for grey literature. Our findings show that GS results contain moderate amounts of grey literature, with the majority found on average at page 80. We also found that, when searched for specifically, the majority of literature identified using Web of Science was also found using GS. However, our findings showed moderate/poor overlap in results when similar search strings were used in Web of Science and GS (10–67%), and that GS missed some important literature in five of six case studies. Furthermore, a general GS search failed to find any grey literature from a case study that involved manual searching of organisations’ websites. If used in systematic reviews for grey literature, we recommend that searches of article titles focus on the first 200 to 300 results. We conclude that whilst Google Scholar can find much grey literature and specific, known studies, it should not be used alone for systematic review searches. Rather, it forms a powerful addition to other traditional search methods. In addition, we advocate the use of tools to transparently document and catalogue GS search results to maintain high levels of transparency and the ability to be updated, critical to systematic reviews. PMID:26379270

  10. Literature search strategies for conducting knowledge-building and theory-generating qualitative systematic reviews.

    Science.gov (United States)

    Finfgeld-Connett, Deborah; Johnson, E Diane

    2013-01-01

    To report literature search strategies for the purpose of conducting knowledge-building and theory-generating qualitative systematic reviews. Qualitative systematic reviews lie on a continuum from knowledge-building and theory-generating to aggregating and summarizing. Different types of literature searches are needed to optimally support these dissimilar reviews. Articles published between 1989-Autumn 2011. These documents were identified using a hermeneutic approach and multiple literature search strategies. Redundancy is not the sole measure of validity when conducting knowledge-building and theory-generating systematic reviews. When conducting these types of reviews, literature searches should be consistent with the goal of fully explicating concepts and the interrelationships among them. To accomplish this objective, a 'berry picking' approach is recommended along with strategies for overcoming barriers to finding qualitative research reports. To enhance integrity of knowledge-building and theory-generating systematic reviews, reviewers are urged to make literature search processes as transparent as possible, despite their complexity. This includes fully explaining and rationalizing what databases were used and how they were searched. It also means describing how literature tracking was conducted and grey literature was searched. In the end, the decision to cease searching also needs to be fully explained and rationalized. Predetermined linear search strategies are unlikely to generate search results that are adequate for purposes of conducting knowledge-building and theory-generating qualitative systematic reviews. Instead, it is recommended that iterative search strategies take shape as reviews evolve. © 2012 Blackwell Publishing Ltd.

  11. Data-driven analysis of biomedical literature suggests broad-spectrum benevolence of culinary herbs and spices

    OpenAIRE

    K, Rakhi; Tuwani, Rudraksh; Mukherjee, Jagriti; Bagler, Ganesh

    2018-01-01

    Spices and herbs are key dietary ingredients used across cultures worldwide. Beyond their use as flavoring and coloring agents, the popularity of these aromatic plant products in culinary preparations has been attributed to their antimicrobial properties. Last few decades have witnessed an exponential growth of biomedical literature investigating the impact of spices and herbs on health, presenting an opportunity to mine for patterns from empirical evidence. Systematic investigation of empiri...

  12. Evaluation of hospital staff’s perceived quality of librarian-mediated literature searching services

    Directory of Open Access Journals (Sweden)

    Sandra McKeown, MLIS

    2017-04-01

    Conclusions: Our results demonstrate the limitations of written communication in the context of librarian-mediated literature searching and suggest a multifaceted approach to quality improvement efforts.

  13. Auditory Workload Assessment. Volume II: Non-Copyrighted Literature Search Results

    National Research Council Canada - National Science Library

    Rench, Michael

    2000-01-01

    In support of the US Army Research Laboratory, Human Research and Engineering Directorate, HSIAC, the Human Systems Information Analysis Center, conducted an extensive search of scientific literature...

  14. Active learning-based information structure analysis of full scientific articles and two applications for biomedical literature review.

    Science.gov (United States)

    Guo, Yufan; Silins, Ilona; Stenius, Ulla; Korhonen, Anna

    2013-06-01

    Techniques that are capable of automatically analyzing the information structure of scientific articles could be highly useful for improving information access to biomedical literature. However, most existing approaches rely on supervised machine learning (ML) and substantial labeled data that are expensive to develop and apply to different sub-fields of biomedicine. Recent research shows that minimal supervision is sufficient for fairly accurate information structure analysis of biomedical abstracts. However, is it realistic for full articles given their high linguistic and informational complexity? We introduce and release a novel corpus of 50 biomedical articles annotated according to the Argumentative Zoning (AZ) scheme, and investigate active learning with one of the most widely used ML models-Support Vector Machines (SVM)-on this corpus. Additionally, we introduce two novel applications that use AZ to support real-life literature review in biomedicine via question answering and summarization. We show that active learning with SVM trained on 500 labeled sentences (6% of the corpus) performs surprisingly well with the accuracy of 82%, just 2% lower than fully supervised learning. In our question answering task, biomedical researchers find relevant information significantly faster from AZ-annotated than unannotated articles. In the summarization task, sentences extracted from particular zones are significantly more similar to gold standard summaries than those extracted from particular sections of full articles. These results demonstrate that active learning of full articles' information structure is indeed realistic and the accuracy is high enough to support real-life literature review in biomedicine. The annotated corpus, our AZ classifier and the two novel applications are available at http://www.cl.cam.ac.uk/yg244/12bioinfo.html

  15. 77 FR 41784 - Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches...

    Science.gov (United States)

    2012-07-16

    ... ). The public is invited to review the literature search results and submit additional information to EPA... results and submit additional information to EPA. A literature search is now available for benzo(a)pyrene... ENVIRONMENTAL PROTECTION AGENCY [EPA-HQ-ORD-2012-0523; FRL-9697-4] Integrated Risk Information...

  16. Clinical and research searching on the wild side: exploring the veterinary literature

    Science.gov (United States)

    Alpi, Kristine M.; Stringer, Elizabeth; DeVoe, Ryan S.; Stoskopf, Michael

    2009-01-01

    Zoological medicine furthers the health and well-being of captive and free-ranging wild animals. Effective information retrieval of the zoological medicine literature demands searching multiple databases, conference proceedings, and organization websites using a wide variety of keywords and controlled vocabulary. Veterinarians, residents, students, and the librarians who serve them must have patience for multiple search iterations to capture the majority of the available knowledge. The complexities of thorough literature searches are more difficult for nondomestic animal clinical cases and research reviews as demonstrated by three search requests involving poisonous snakes, a gorilla, and spiders. Expanding and better disseminating the knowledgebase of zoological medicine will make veterinary searching easier. PMID:19626142

  17. Clustering cliques for graph-based summarization of the biomedical research literature

    DEFF Research Database (Denmark)

    Zhang, Han; Fiszman, Marcelo; Shin, Dongwook

    2013-01-01

    Background: Graph-based notions are increasingly used in biomedical data mining and knowledge discovery tasks. In this paper, we present a clique-clustering method to automatically summarize graphs of semantic predications produced from PubMed citations (titles and abstracts).Results: Sem...

  18. Inappropriate use of the title 'chiropractor' and term 'chiropractic manipulation' in the peer-reviewed biomedical literature

    Directory of Open Access Journals (Sweden)

    Wenban Adrian B

    2006-08-01

    Full Text Available Abstract Background The misuse of the title 'chiropractor' and term 'chiropractic manipulation', in relation to injury associated with cervical spine manipulation, have previously been reported in the peer-reviewed literature. The objectives of this study were to - 1 Prospectively monitor the peer-reviewed literature for papers reporting an association between chiropractic, or chiropractic manipulation, and injury; 2 Contact lead authors of papers that report such an association in order to determine the basis upon which the title 'chiropractor' and/or term 'chiropractic manipulation' was used; 3 Document the outcome of submission of letters to the editors of journals wherein the title 'chiropractor', and/or term 'chiropractic manipulation', had been misused and resulted in the over-reporting of chiropractic induced injury. Methods One electronic database (PubMed was monitored prospectively, via monthly PubMed searches, during a 12 month period (June 2003 to May 2004. Once relevant papers were located, they were reviewed. If the qualifications and/or profession of the care provider/s were not apparent, an attempt was made to confirm them via direct e-mail communication with the principal researcher of each respective paper. A letter was then sent to the editor of each involved journal. Results A total of twenty four different cases, spread across six separate publications, were located via the monthly PubMed searches. All twenty four cases took place in one of two European countries. The six publications consisted of four case reports, each containing one patient, one case series, involving twenty relevant cases, and a secondary report that pertained to one of the four case reports. In each of the six publications the authors suggest the care provider was a chiropractor and that each patient received chiropractic manipulation of the cervical spine prior to developing symptoms suggestive of traumatic injury. In two of the four case reports

  19. A Literature Review of Indexing and Searching Techniques Implementation in Educational Search Engines

    Science.gov (United States)

    El Guemmat, Kamal; Ouahabi, Sara

    2018-01-01

    The objective of this article is to analyze the searching and indexing techniques of educational search engines' implementation while treating future challenges. Educational search engines could greatly help in the effectiveness of e-learning if used correctly. However, these engines have several gaps which influence the performance of e-learning…

  20. Automated Literature Searches for Longitudinal Tracking of Cancer Research Training Program Graduates.

    Science.gov (United States)

    Padilla, Luz A; Desmond, Renee A; Brooks, C Michael; Waterbor, John W

    2016-10-12

    A key outcome measure of cancer research training programs is the number of cancer-related peer-reviewed publications after training. Because program graduates do not routinely report their publications, staff must periodically conduct electronic literature searches on each graduate. The purpose of this study is to compare findings of an innovative computer-based automated search program versus repeated manual literature searches to identify post-training peer-reviewed publications. In late 2014, manual searches for publications by former R25 students identified 232 cancer-related articles published by 112 of 543 program graduates. In 2016, a research assistant was instructed in performing Scopus literature searches for comparison with individual PubMed searches on our 543 program graduates. Through 2014, Scopus found 304 cancer publications, 220 of that had been retrieved manually plus an additional 84 papers. However, Scopus missed 12 publications found manually. Together, both methods found 316 publications. The automated method found 96.2 % of the 316 publications while individual searches found only 73.4 %. An automated search method such as using the Scopus database is a key tool for conducting comprehensive literature searches, but it must be supplemented with periodic manual searches to find the initial publications of program graduates. A time-saving feature of Scopus is the periodic automatic alerts of new publications. Although a training period is needed and initial costs can be high, an automated search method is worthwhile due to its high sensitivity and efficiency in the long term.

  1. How to search for and use 'grey literature' in research.

    Science.gov (United States)

    Coad, Jane; Hardicre, Jayne; Devitt, Patric

    An ever-growing amount of grey literature is available to nurses, including oral presentations, personal communication, leaflets, newspapers and magazines, unpublished research, internal reports and minutes of meetings. It can be an invaluable research resource.

  2. Using classification models for the generation of disease-specific medications from biomedical literature and clinical data repository.

    Science.gov (United States)

    Wang, Liqin; Haug, Peter J; Del Fiol, Guilherme

    2017-05-01

    Mining disease-specific associations from existing knowledge resources can be useful for building disease-specific ontologies and supporting knowledge-based applications. Many association mining techniques have been exploited. However, the challenge remains when those extracted associations contained much noise. It is unreliable to determine the relevance of the association by simply setting up arbitrary cut-off points on multiple scores of relevance; and it would be expensive to ask human experts to manually review a large number of associations. We propose that machine-learning-based classification can be used to separate the signal from the noise, and to provide a feasible approach to create and maintain disease-specific vocabularies. We initially focused on disease-medication associations for the purpose of simplicity. For a disease of interest, we extracted potentially treatment-related drug concepts from biomedical literature citations and from a local clinical data repository. Each concept was associated with multiple measures of relevance (i.e., features) such as frequency of occurrence. For the machine purpose of learning, we formed nine datasets for three diseases with each disease having two single-source datasets and one from the combination of previous two datasets. All the datasets were labeled using existing reference standards. Thereafter, we conducted two experiments: (1) to test if adding features from the clinical data repository would improve the performance of classification achieved using features from the biomedical literature only, and (2) to determine if classifier(s) trained with known medication-disease data sets would be generalizable to new disease(s). Simple logistic regression and LogitBoost were two classifiers identified as the preferred models separately for the biomedical-literature datasets and combined datasets. The performance of the classification using combined features provided significant improvement beyond that using

  3. Indicators for the use of robotic labs in basic biomedical research: a literature analysis

    OpenAIRE

    Groth, Paul; Cox, Jessica

    2017-01-01

    Robotic labs, in which experiments are carried out entirely by robots, have the potential to provide a reproducible and transparent foundation for performing basic biomedical laboratory experiments. In this article, we investigate whether these labs could be applicable in current experimental practice. We do this by text mining 1,628 papers for occurrences of methods that are supported by commercial robotic labs. Using two different concept recognition tools, we find that 86%–89% of the paper...

  4. An unsupervised text mining method for relation extraction from biomedical literature.

    Science.gov (United States)

    Quan, Changqin; Wang, Meng; Ren, Fuji

    2014-01-01

    The wealth of interaction information provided in biomedical articles motivated the implementation of text mining approaches to automatically extract biomedical relations. This paper presents an unsupervised method based on pattern clustering and sentence parsing to deal with biomedical relation extraction. Pattern clustering algorithm is based on Polynomial Kernel method, which identifies interaction words from unlabeled data; these interaction words are then used in relation extraction between entity pairs. Dependency parsing and phrase structure parsing are combined for relation extraction. Based on the semi-supervised KNN algorithm, we extend the proposed unsupervised approach to a semi-supervised approach by combining pattern clustering, dependency parsing and phrase structure parsing rules. We evaluated the approaches on two different tasks: (1) Protein-protein interactions extraction, and (2) Gene-suicide association extraction. The evaluation of task (1) on the benchmark dataset (AImed corpus) showed that our proposed unsupervised approach outperformed three supervised methods. The three supervised methods are rule based, SVM based, and Kernel based separately. The proposed semi-supervised approach is superior to the existing semi-supervised methods. The evaluation on gene-suicide association extraction on a smaller dataset from Genetic Association Database and a larger dataset from publicly available PubMed showed that the proposed unsupervised and semi-supervised methods achieved much higher F-scores than co-occurrence based method.

  5. An unsupervised text mining method for relation extraction from biomedical literature.

    Directory of Open Access Journals (Sweden)

    Changqin Quan

    Full Text Available The wealth of interaction information provided in biomedical articles motivated the implementation of text mining approaches to automatically extract biomedical relations. This paper presents an unsupervised method based on pattern clustering and sentence parsing to deal with biomedical relation extraction. Pattern clustering algorithm is based on Polynomial Kernel method, which identifies interaction words from unlabeled data; these interaction words are then used in relation extraction between entity pairs. Dependency parsing and phrase structure parsing are combined for relation extraction. Based on the semi-supervised KNN algorithm, we extend the proposed unsupervised approach to a semi-supervised approach by combining pattern clustering, dependency parsing and phrase structure parsing rules. We evaluated the approaches on two different tasks: (1 Protein-protein interactions extraction, and (2 Gene-suicide association extraction. The evaluation of task (1 on the benchmark dataset (AImed corpus showed that our proposed unsupervised approach outperformed three supervised methods. The three supervised methods are rule based, SVM based, and Kernel based separately. The proposed semi-supervised approach is superior to the existing semi-supervised methods. The evaluation on gene-suicide association extraction on a smaller dataset from Genetic Association Database and a larger dataset from publicly available PubMed showed that the proposed unsupervised and semi-supervised methods achieved much higher F-scores than co-occurrence based method.

  6. Literature in Focus: "Axions: Theory, Cosmology, and Experimental Searches"

    CERN Multimedia

    2009-01-01

    Axions are peculiar hypothetical particles that could both solve the CP problem of quantum chromodynamics and at the same time account for the dark matter of the universe. Based on a series of lectures by world experts in this field held at CERN, this volume provides a pedagogical introduction to the theory, cosmology and astrophysics of these fascinating particles and gives an up-to-date account of the status and prospect of ongoing and planned experimental searches. Learners and practitioners of astroparticle physics will find in this book both a concise introduction and a current reference work to a showcase topic that connects the "inner space" of the elementary particle world with the "outer space" of the universe at large. The book will be presented by Markus Kuster. "Axions: Theory, Cosmology, and Experimental Searches", edited by M. Kuster (Technische Universität Darmstadt), G. Raffelt (Max-Planck-Institu...

  7. Searching for Bill and Jane: Electronic Full-Text Literature.

    Science.gov (United States)

    Still, Julie; Kassabian, Vibiana

    1998-01-01

    Examines electronic full-text literature available on the World Wide Web and on CD-ROM. Discusses authors and genres, electronic texts, and fees. Highlights Shakespeare, Jane Austen, and nature writing. Provides a bibliography of Web guides, specialized Shakespeare pages, and pages dealing with the Shakespeare authorship debate and secondary…

  8. Ranking support vector machine for multiple kernels output combination in protein-protein interaction extraction from biomedical literature.

    Science.gov (United States)

    Yang, Zhihao; Lin, Yuan; Wu, Jiajin; Tang, Nan; Lin, Hongfei; Li, Yanpeng

    2011-10-01

    Knowledge about protein-protein interactions (PPIs) unveils the molecular mechanisms of biological processes. However, the volume and content of published biomedical literature on protein interactions is expanding rapidly, making it increasingly difficult for interaction database curators to detect and curate protein interaction information manually. We present a multiple kernel learning-based approach for automatic PPI extraction from biomedical literature. The approach combines the following kernels: feature-based, tree, and graph and combines their output with Ranking support vector machine (SVM). Experimental evaluations show that the features in individual kernels are complementary and the kernel combined with Ranking SVM achieves better performance than those of the individual kernels, equal weight combination and optimal weight combination. Our approach can achieve state-of-the-art performance with respect to the comparable evaluations, with 64.88% F-score and 88.02% AUC on the AImed corpus. Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  9. Google Scholar as replacement for systematic literature searches: good relative recall and precision are not enough.

    Science.gov (United States)

    Boeker, Martin; Vach, Werner; Motschall, Edith

    2013-10-26

    Recent research indicates a high recall in Google Scholar searches for systematic reviews. These reports raised high expectations of Google Scholar as a unified and easy to use search interface. However, studies on the coverage of Google Scholar rarely used the search interface in a realistic approach but instead merely checked for the existence of gold standard references. In addition, the severe limitations of the Google Search interface must be taken into consideration when comparing with professional literature retrieval tools.The objectives of this work are to measure the relative recall and precision of searches with Google Scholar under conditions which are derived from structured search procedures conventional in scientific literature retrieval; and to provide an overview of current advantages and disadvantages of the Google Scholar search interface in scientific literature retrieval. General and MEDLINE-specific search strategies were retrieved from 14 Cochrane systematic reviews. Cochrane systematic review search strategies were translated to Google Scholar search expression as good as possible under consideration of the original search semantics. The references of the included studies from the Cochrane reviews were checked for their inclusion in the result sets of the Google Scholar searches. Relative recall and precision were calculated. We investigated Cochrane reviews with a number of included references between 11 and 70 with a total of 396 references. The Google Scholar searches resulted in sets between 4,320 and 67,800 and a total of 291,190 hits. The relative recall of the Google Scholar searches had a minimum of 76.2% and a maximum of 100% (7 searches). The precision of the Google Scholar searches had a minimum of 0.05% and a maximum of 0.92%. The overall relative recall for all searches was 92.9%, the overall precision was 0.13%. The reported relative recall must be interpreted with care. It is a quality indicator of Google Scholar confined to

  10. Building Linked Open Data towards integration of biomedical scientific literature with DBpedia.

    Science.gov (United States)

    Yamamoto, Yasunori; Yamaguchi, Atsuko; Yonezawa, Akinori

    2013-03-13

    There is a growing need for efficient and integrated access to databases provided by diverse institutions. Using a linked data design pattern allows the diverse data on the Internet to be linked effectively and accessed efficiently by computers. Previously, we developed the Allie database, which stores pairs of abbreviations and long forms (LFs, or expanded forms) used in the life sciences. LFs define the semantics of abbreviations, and Allie provides a Web-based search service for researchers to look up the LF of an unfamiliar abbreviation. This service encounters two problems. First, it does not display each LF's definition, which could help the user to disambiguate and learn the abbreviations more easily. Furthermore, there are too many LFs for us to prepare a full dictionary from scratch. On the other hand, DBpedia has made the contents of Wikipedia available in the Resource Description Framework (RDF), which is expected to contain a significant number of entries corresponding to LFs. Therefore, linking the Allie LFs to DBpedia entries may present a solution to the Allie's problems. This requires a method that is capable of matching large numbers of string pairs within a reasonable period of time because Allie and DBpedia are frequently updated. We built a Linked Open Data set that links LFs to DBpedia titles by applying key collision methods (i.e., fingerprint and n-gram fingerprint) to their literals, which are simple approximate string-matching methods. In addition, we used UMLS resources to normalise the life science terms. As a result, combining the key collision methods with the domain-specific resources performed best, and 44,027 LFs have links to DBpedia titles. We manually evaluated the accuracy of the string matching by randomly sampling 1200 LFs, and our approach achieved an F-measure of 0.98. In addition, our experiments revealed the following. (1) Performances were similar independently from the frequency of the LFs in MEDLINE. (2) There is a

  11. Big Data Application in Biomedical Research and Health Care: A Literature Review

    Science.gov (United States)

    Luo, Jake; Wu, Min; Gopukumar, Deepika; Zhao, Yiqing

    2016-01-01

    Big data technologies are increasingly used for biomedical and health-care informatics research. Large amounts of biological and clinical data have been generated and collected at an unprecedented speed and scale. For example, the new generation of sequencing technologies enables the processing of billions of DNA sequence data per day, and the application of electronic health records (EHRs) is documenting large amounts of patient data. The cost of acquiring and analyzing biomedical data is expected to decrease dramatically with the help of technology upgrades, such as the emergence of new sequencing machines, the development of novel hardware and software for parallel computing, and the extensive expansion of EHRs. Big data applications present new opportunities to discover new knowledge and create novel methods to improve the quality of health care. The application of big data in health care is a fast-growing field, with many new discoveries and methodologies published in the last five years. In this paper, we review and discuss big data application in four major biomedical subdisciplines: (1) bioinformatics, (2) clinical informatics, (3) imaging informatics, and (4) public health informatics. Specifically, in bioinformatics, high-throughput experiments facilitate the research of new genome-wide association studies of diseases, and with clinical informatics, the clinical field benefits from the vast amount of collected patient data for making intelligent decisions. Imaging informatics is now more rapidly integrated with cloud platforms to share medical image data and workflows, and public health informatics leverages big data techniques for predicting and monitoring infectious disease outbreaks, such as Ebola. In this paper, we review the recent progress and breakthroughs of big data applications in these health-care domains and summarize the challenges, gaps, and opportunities to improve and advance big data applications in health care. PMID:26843812

  12. Big Data Application in Biomedical Research and Health Care: A Literature Review.

    Science.gov (United States)

    Luo, Jake; Wu, Min; Gopukumar, Deepika; Zhao, Yiqing

    2016-01-01

    Big data technologies are increasingly used for biomedical and health-care informatics research. Large amounts of biological and clinical data have been generated and collected at an unprecedented speed and scale. For example, the new generation of sequencing technologies enables the processing of billions of DNA sequence data per day, and the application of electronic health records (EHRs) is documenting large amounts of patient data. The cost of acquiring and analyzing biomedical data is expected to decrease dramatically with the help of technology upgrades, such as the emergence of new sequencing machines, the development of novel hardware and software for parallel computing, and the extensive expansion of EHRs. Big data applications present new opportunities to discover new knowledge and create novel methods to improve the quality of health care. The application of big data in health care is a fast-growing field, with many new discoveries and methodologies published in the last five years. In this paper, we review and discuss big data application in four major biomedical subdisciplines: (1) bioinformatics, (2) clinical informatics, (3) imaging informatics, and (4) public health informatics. Specifically, in bioinformatics, high-throughput experiments facilitate the research of new genome-wide association studies of diseases, and with clinical informatics, the clinical field benefits from the vast amount of collected patient data for making intelligent decisions. Imaging informatics is now more rapidly integrated with cloud platforms to share medical image data and workflows, and public health informatics leverages big data techniques for predicting and monitoring infectious disease outbreaks, such as Ebola. In this paper, we review the recent progress and breakthroughs of big data applications in these health-care domains and summarize the challenges, gaps, and opportunities to improve and advance big data applications in health care.

  13. Indicators for the use of robotic labs in basic biomedical research: a literature analysis

    Directory of Open Access Journals (Sweden)

    Paul Groth

    2017-11-01

    Full Text Available Robotic labs, in which experiments are carried out entirely by robots, have the potential to provide a reproducible and transparent foundation for performing basic biomedical laboratory experiments. In this article, we investigate whether these labs could be applicable in current experimental practice. We do this by text mining 1,628 papers for occurrences of methods that are supported by commercial robotic labs. Using two different concept recognition tools, we find that 86%–89% of the papers have at least one of these methods. This and our other results provide indications that robotic labs can serve as the foundation for performing many lab-based experiments.

  14. An assessment of the efficacy of searching in biomedical databases beyond MEDLINE in identifying studies for a systematic review on ward closures as an infection control intervention to control outbreaks.

    Science.gov (United States)

    Kwon, Yoojin; Powelson, Susan E; Wong, Holly; Ghali, William A; Conly, John M

    2014-11-11

    The purpose of our study is to determine the value and efficacy of searching biomedical databases beyond MEDLINE for systematic reviews. We analyzed the results from a systematic review conducted by the authors and others on ward closure as an infection control practice. Ovid MEDLINE including In-Process & Other Non-Indexed Citations, Ovid Embase, CINAHL Plus, LILACS, and IndMED were systematically searched for articles of any study type discussing ward closure, as were bibliographies of selected articles and recent infection control conference abstracts. Search results were tracked, recorded, and analyzed using a relative recall method. The sensitivity of searching in each database was calculated. Two thousand ninety-five unique citations were identified and screened for inclusion in the systematic review: 2,060 from database searching and 35 from hand searching and other sources. Ninety-seven citations were included in the final review. MEDLINE and Embase searches each retrieved 80 of the 97 articles included, only 4 articles from each database were unique. The CINAHL search retrieved 35 included articles, and 4 were unique. The IndMED and LILACS searches did not retrieve any included articles, although 75 of the included articles were indexed in LILACS. The true value of using regional databases, particularly LILACS, may lie with the ability to search in the language spoken in the region. Eight articles were found only through hand searching. Identifying studies for a systematic review where the research is observational is complex. The value each individual study contributes to the review cannot be accurately measured. Consequently, we could not determine the value of results found from searching beyond MEDLINE, Embase, and CINAHL with accuracy. However, hand searching for serendipitous retrieval remains an important aspect due to indexing and keyword challenges inherent in this literature.

  15. What to call spinal cord damage not due to trauma? Implications for literature searching.

    Science.gov (United States)

    New, Peter W; Delafosse, Veronica

    2012-03-01

    To illustrate the importance of multiple search terms and databases when searching publications on spinal cord damage not due to trauma. To develop comprehensive search filter for this subject, compare the results for 2000-2009 with the Medical Subject Headings (MeSH) and Emtree term 'spinal cord diseases' and determine changes in the number of articles over this period. Literature searches and search filter development. Australia. Titles and abstracts searched in MEDLINE and EMBASE (2000-2009) for articles involving humans using search terms 'non-traumatic spinal cord injury' and 'nontraumatic spinal cord injury' (concise search). Develop comprehensive search filter for 'spinal cord damage not due to trauma' and compare the results with the MeSH term 'spinal cord diseases.' Annual publications (2000-2009) identified in MEDLINE and EMBASE literature searches. Concise search identified 35 articles published during 2000-2009. More publications were identified using the term 'nontraumatic spinal cord injury' (n = 20) than 'non-traumatic spinal cord injury' (n = 16). Publications increased for both terms 'spinal cord diseases' (2000 = 279; 2009 = 415) and 'spinal cord damage not due to trauma' identified by the comprehensive search filter (2000 = 1251; 2009 = 1921). Concise searches using terms 'non-traumatic spinal cord injury' and 'nontraumatic spinal cord injury' fail to identify relevant articles unless combinations of terms and databases are used. These are inadequate search terms for a comprehensive search. Further research is needed to validate our comprehensive search filter. An international consensus process is required to establish an agreed term for 'spinal cord damage not due to trauma.'

  16. An Analysis of Literature Searching Anxiety in Evidence-Based Medicine Education

    Directory of Open Access Journals (Sweden)

    Hui-Chin Chang

    2014-01-01

    Full Text Available Introduction. Evidence-Based Medicine (EBM is hurtling towards a cornerstone in lifelong learning for healthcare personnel worldwide. This study aims to evaluate the literature searching anxiety in graduate students in practicing EBM. Method The study participants were 48 graduate students who enrolled the EBM course at aMedical Universityin central Taiwan. Student’s t-test, Pearson correlation and multivariate regression, interviewing are used to evaluate the students’ literature searching anxiety of EBM course. The questionnaire is Literature Searching Anxiety Rating Scale -LSARS. Results The sources of anxiety are uncertainty of database selection, literatures evaluation and selection, technical assistance request, computer programs use, English and EBM education programs were disclosed. The class performance is negatively related to LSARS score, however, the correlation is statistically insignificant with the adjustment of gender, degree program, age category and experience of publication. Conclusion This study helps in understanding the causes and the extent of anxiety in order to work on a better teaching program planning to improve user’s searching skills and the capability of utilization the information; At the same time, provide friendly-user facilities of evidence searching. In short, we need to upgrade the learner’s searching 45 skills and reduce theanxiety. We also need to stress on the auxiliary teaching program for those with the prevalent and profoundanxiety during literature searching.

  17. Literature search on risks related to ionizing radiations

    International Nuclear Information System (INIS)

    Abou Anoma, G.; Bijaoui, A.; Gauron, C.

    2013-09-01

    The authors propose a selection of information sources regarding risks related to ionizing radiations. They present knowledge bases which can be found on different Internet sites belonging to different bodies and agencies (IRSN, CEA, INRS, SFRP, CNRS, Radioprotection Cirkus, EDF) and in different books. They present information sources dealing with radionuclides which can be found in French and international Internet sites and in books, information sources concerning different professional activities and sectors (ASN, IRSN, INRS, medical-professional sheets proposed by the CISME, sheets proposed by the Labour Ministry and other bodies). It presents information sources dealing with radiological incidents, accidents and emergencies, dealing with radioactive wastes, with the legal European and French framework. Some additional tools of general or more detailed information are indicated (CIPR, IAEA, UNSCAR, IRPA, IRSN, SFRP, CEA, CEPN, Radiation Cirkus, books). Ways to get an updated search are indicated for different databases, as well as some practical services

  18. Searching for evidence-based geriatrics: Tips and tools for finding evidence in the medical literature

    NARCIS (Netherlands)

    van Munster, B. C.; van de Glind, E. M. M.; Hooft, L.

    2012-01-01

    Introduction: Information to treat geriatric patients evidence-based is hard to find. Recently, a sensitive and a specific search filter to improve searching for literature relevant to geriatric medicine were developed in a research setting. The aim of this study is to determine whether these

  19. MOMFER: A Search Engine of Thompson's Motif-Index of Folk Literature

    NARCIS (Netherlands)

    Karsdorp, F.B.; van der Meulen, Marten; Meder, Theo; van den Bosch, Antal

    2015-01-01

    More than fifty years after the first edition of Thompson's seminal Motif-Indexof Folk Literature, we present an online search engine tailored to fully disclose the index digitally. This search engine, called MOMFER, greatly enhances the searchability of the Motif-Index and provides exciting new

  20. How to perform a comprehensive search for FDG-PET literature

    NARCIS (Netherlands)

    Mijnhout, G. S.; Hooft, L.; van Tulder, M. W.; Devillé, W. L.; Teule, G. J.; Hoekstra, O. S.

    2000-01-01

    In this study, a comprehensive, unbiassed search strategy for identifying literature on fluorine-18 fluorodeoxyglucose positron emission tomography (FDG-PET) in Medline, Embase and Current Contents was developed, with specific search strategies for each database, using MeSH terms as well as free

  1. Managing the Grey Literature of a Discipline through Collaboration: AgEcon Search

    Science.gov (United States)

    Kelly, Julia; Letnes, Louise

    2005-01-01

    AgEcon Search, http://www.agecon.lib.umn.edu, is an important and ground-breaking example of an alternative method of delivering current research results to many potential users. AgEcon Search, through a distributed model, collects and disseminates the grey literature of the fields of agricultural and resource economics. The development of this…

  2. Predicting speculation: a simple disambiguation approach to hedge detection in biomedical literature

    Directory of Open Access Journals (Sweden)

    Velldal Erik

    2011-10-01

    Full Text Available Abstract Background This paper presents a novel approach to the problem of hedge detection, which involves identifying so-called hedge cues for labeling sentences as certain or uncertain. This is the classification problem for Task 1 of the CoNLL-2010 Shared Task, which focuses on hedging in the biomedical domain. We here propose to view hedge detection as a simple disambiguation problem, restricted to words that have previously been observed as hedge cues. As the feature space for the classifier is still very large, we also perform experiments with dimensionality reduction using the method of random indexing. Results The SVM-based classifiers developed in this paper achieves the best published results so far for sentence-level uncertainty prediction on the CoNLL-2010 Shared Task test data. We also show that the technique of random indexing can be successfully applied for reducing the dimensionality of the original feature space by several orders of magnitude, without sacrificing classifier performance. Conclusions This paper introduces a simplified approach to detecting speculation or uncertainty in text, focusing on the biomedical domain. Evaluated at the sentence-level, our SVM-based classifiers achieve the best published results so far. We also show that the feature space can be aggressively compressed using random indexing while still maintaining comparable classifier performance.

  3. Predicting speculation: a simple disambiguation approach to hedge detection in biomedical literature.

    Science.gov (United States)

    Velldal, Erik

    2011-10-06

    This paper presents a novel approach to the problem of hedge detection, which involves identifying so-called hedge cues for labeling sentences as certain or uncertain. This is the classification problem for Task 1 of the CoNLL-2010 Shared Task, which focuses on hedging in the biomedical domain. We here propose to view hedge detection as a simple disambiguation problem, restricted to words that have previously been observed as hedge cues. As the feature space for the classifier is still very large, we also perform experiments with dimensionality reduction using the method of random indexing. The SVM-based classifiers developed in this paper achieves the best published results so far for sentence-level uncertainty prediction on the CoNLL-2010 Shared Task test data. We also show that the technique of random indexing can be successfully applied for reducing the dimensionality of the original feature space by several orders of magnitude, without sacrificing classifier performance. This paper introduces a simplified approach to detecting speculation or uncertainty in text, focusing on the biomedical domain. Evaluated at the sentence-level, our SVM-based classifiers achieve the best published results so far. We also show that the feature space can be aggressively compressed using random indexing while still maintaining comparable classifier performance.

  4. Manned space flight nuclear system safety. Volume 7: Literature review. Part 1: Literature search and evaluation

    Science.gov (United States)

    1972-01-01

    A review of the literature used in conducting the manned space flight nuclear system safety study is presented. The objectives of the presentation are to identify and evaluate for potential application to study the existing related literature and to provide the information required to include the related literature in the NASA Aerospace Safety Research and Data Institute. More than 15,000 documents were evaluated and identification forms were prepared for 850 reports.

  5. Relemed: sentence-level search engine with relevance score for the MEDLINE database of biomedical articles

    Science.gov (United States)

    Siadaty, Mir S; Shu, Jianfen; Knaus, William A

    2007-01-01

    Background Receiving extraneous articles in response to a query submitted to MEDLINE/PubMed is common. When submitting a multi-word query (which is the majority of queries submitted), the presence of all query words within each article may be a necessary condition for retrieving relevant articles, but not sufficient. Ideally a relationship between the query words in the article is also required. We propose that if two words occur within an article, the probability that a relation between them is explained is higher when the words occur within adjacent sentences versus remote sentences. Therefore, sentence-level concurrence can be used as a surrogate for existence of the relationship between the words. In order to avoid the irrelevant articles, one solution would be to increase the search specificity. Another solution is to estimate a relevance score to sort the retrieved articles. However among the >30 retrieval services available for MEDLINE, only a few estimate a relevance score, and none detects and incorporates the relation between the query words as part of the relevance score. Results We have developed "Relemed", a search engine for MEDLINE. Relemed increases specificity and precision of retrieval by searching for query words within sentences rather than the whole article. It uses sentence-level concurrence as a statistical surrogate for the existence of relationship between the words. It also estimates a relevance score and sorts the results on this basis, thus shifting irrelevant articles lower down the list. In two case studies, we demonstrate that the most relevant articles appear at the top of the Relemed results, while this is not necessarily the case with a PubMed search. We have also shown that a Relemed search includes not only all the articles retrieved by PubMed, but potentially additional relevant articles, due to the extended 'automatic term mapping' and text-word searching features implemented in Relemed. Conclusion By using sentence

  6. Open Access Works are as Reliable as Other Publishing Models at Retracting Flawed Articles from the Biomedical Literature

    Directory of Open Access Journals (Sweden)

    Elizabeth Margaret Stovold

    2014-09-01

    Full Text Available A Review of: Peterson, G.M. (2013. Characteristics of retracted open access biomedical literature: a bibliographic analysis. Journal of the American Society for Information Science and Technology. 64(12, 2428-2436. doi: 10.1002/asi.22944 Objective – To investigate whether the rate of retracted articles and citation rates post-retraction in the biomedical literature are comparable across open access, free-to-access, or pay-to-access journals. Design – Citation analysis. Setting – Biomedical literature. Subjects – 160 retracted papers published between 1st January 2001 and 31st December 2010. Methods – For the retracted papers, 100 records were retrieved from the PubMed database and 100 records from the PubMed Central (PMC open access subset. Records were selected at random, based on the PubMed identifier. Each article was assigned a number based on its accessibility using the specific criteria. Articles published in the PMC open access subset were assigned a 2; articles retrieved from PubMed that were freely accessible, but did not meet the criteria for open access were assigned a 1; and articles retrieved through PubMed which were pay-to-access were assigned a 0. This allowed articles to be grouped and compared by accessibility. Citation information was collected primarily from the Science Citation Index. Articles for which no citation information was available, and those with a lifetime citation of 0 (or 1 where the citation came from the retraction statement were excluded, leaving 160 articles for analysis. Information on the impact factor of the journals was retrieved and the analysis was performed twice; first with the entire set, and second after excluding articles published in journals with an impact factor of 10 or above (14% of the total. The average number of citations per month was used to compare citation rates, and the percentage change in citation rate pre- and post-retraction was calculated. Information was also collected

  7. Laser-assisted development of titanium alloys: the search for new biomedical materials

    Science.gov (United States)

    Almeida, Amelia; Gupta, Dheeraj; Vilar, Rui

    2011-02-01

    Ti-alloys used in prosthetic applications are mostly alloys initially developed for aeronautical applications, so their behavior was not optimized for medical use. A need remains to design new alloys for biomedical applications, where requirements such as biocompatibility, in-body durability, specific manufacturing ability, and cost effectiveness are considered. Materials for this application must present excellent biocompatibility, ductility, toughness and wear and corrosion resistance, a large laser processing window and low sensitivity to changes in the processing parameters. Laser deposition has been investigated in order to access its applicability to laser based manufactured implants. In this study, variable powder feed rate laser cladding has been used as a method for the combinatorial investigation of new alloy systems that offers a unique possibility for the rapid and exhaustive preparation of a whole range of alloys with compositions variable along a single clad track. This method was used as to produce composition gradient Ti-Mo alloys. Mo has been used since it is among the few elements biocompatible, non-toxic β-Ti phase stabilizers. Alloy tracks with compositions in the range 0-19 wt.%Mo were produced and characterized in detail as a function of composition using microscale testing procedures for screening of compositions with promising properties. Microstructural analysis showed that alloys with Mo content above 8% are fully formed of β phase grains. However, these β grains present a cellular substructure that is associated to a Ti and Mo segregation pattern that occurs during solidification. Ultramicroindentation tests carried out to evaluate the alloys' hardness and Young's modulus showed that Ti-13%Mo alloys presented the lowest hardness and Young's modulus (70 GPa) closer to that of bone than common Ti alloys, thus showing great potential for implant applications.

  8. Text Mining for Precision Medicine: Bringing Structure to EHRs and Biomedical Literature to Understand Genes and Health.

    Science.gov (United States)

    Simmons, Michael; Singhal, Ayush; Lu, Zhiyong

    2016-01-01

    The key question of precision medicine is whether it is possible to find clinically actionable granularity in diagnosing disease and classifying patient risk. The advent of next-generation sequencing and the widespread adoption of electronic health records (EHRs) have provided clinicians and researchers a wealth of data and made possible the precise characterization of individual patient genotypes and phenotypes. Unstructured text-found in biomedical publications and clinical notes-is an important component of genotype and phenotype knowledge. Publications in the biomedical literature provide essential information for interpreting genetic data. Likewise, clinical notes contain the richest source of phenotype information in EHRs. Text mining can render these texts computationally accessible and support information extraction and hypothesis generation. This chapter reviews the mechanics of text mining in precision medicine and discusses several specific use cases, including database curation for personalized cancer medicine, patient outcome prediction from EHR-derived cohorts, and pharmacogenomic research. Taken as a whole, these use cases demonstrate how text mining enables effective utilization of existing knowledge sources and thus promotes increased value for patients and healthcare systems. Text mining is an indispensable tool for translating genotype-phenotype data into effective clinical care that will undoubtedly play an important role in the eventual realization of precision medicine.

  9. Semi-automating the manual literature search for systematic reviews increases efficiency.

    Science.gov (United States)

    Chapman, Andrea L; Morgan, Laura C; Gartlehner, Gerald

    2010-03-01

    To minimise retrieval bias, manual literature searches are a key part of the search process of any systematic review. Considering the need to have accurate information, valid results of the manual literature search are essential to ensure scientific standards; likewise efficient approaches that minimise the amount of personnel time required to conduct a manual literature search are of great interest. The objective of this project was to determine the validity and efficiency of a new manual search method that utilises the scopus database. We used the traditional manual search approach as the gold standard to determine the validity and efficiency of the proposed scopus method. Outcome measures included completeness of article detection and personnel time involved. Using both methods independently, we compared the results based on accuracy of the results, validity and time spent conducting the search, efficiency. Regarding accuracy, the scopus method identified the same studies as the traditional approach indicating its validity. In terms of efficiency, using scopus led to a time saving of 62.5% compared with the traditional approach (3 h versus 8 h). The scopus method can significantly improve the efficiency of manual searches and thus of systematic reviews.

  10. Electronic searching of the literature for systematic reviews of screening and diagnostic tests for preterm birth.

    Science.gov (United States)

    Honest, Honest; Bachmann, Lucas M; Khan, Khalid

    2003-03-26

    Published systematic reviews on prediction of preterm birth have tended to focus on a limited number of tests and their search strategies have often been relatively simple. Evaluation of all available tests in a systemic review will require a broad search strategy. To describe a case study of electronic searching for a systematic review of accuracy studies evaluating all tests for predicting preterm birth. The search strategy, developed to capture literatures concerning all the tests en-masse consisted of formulation of an appropriate combination of search terms, pilot searches to refine the search term combination, selection of relevant databases, and citation retrieval from the refined searches for selection of potentially relevant papers. Electronic searches were carried out on general bibliographic databases (Biosis, Embase, Medline, Pascal and Scisearch), specialised databases (Database of Abstracts of Reviews of Effectiveness, Medion, National Research Register, Cochrane Controlled Trial Register and Cochrane Database of Systematic Reviews). A total of 30076 citations were identified. Of these 8855 (29%) citations were duplications either within a database or across databases. Of the remaining 21221 citations, 3333 were considered potentially relevant to the review after assessment by two reviewers. These citations covered 19 different tests for predicting preterm birth. This case study suggests that with use of a concerted effort to organise and manage the electronic searching it is feasible to undertake broad searches for systematic reviews with multiple questions.

  11. Integrating semantic information into multiple kernels for protein-protein interaction extraction from biomedical literatures.

    Directory of Open Access Journals (Sweden)

    Lishuang Li

    Full Text Available Protein-Protein Interaction (PPI extraction is an important task in the biomedical information extraction. Presently, many machine learning methods for PPI extraction have achieved promising results. However, the performance is still not satisfactory. One reason is that the semantic resources were basically ignored. In this paper, we propose a multiple-kernel learning-based approach to extract PPIs, combining the feature-based kernel, tree kernel and semantic kernel. Particularly, we extend the shortest path-enclosed tree kernel (SPT by a dynamic extended strategy to retrieve the richer syntactic information. Our semantic kernel calculates the protein-protein pair similarity and the context similarity based on two semantic resources: WordNet and Medical Subject Heading (MeSH. We evaluate our method with Support Vector Machine (SVM and achieve an F-score of 69.40% and an AUC of 92.00%, which show that our method outperforms most of the state-of-the-art systems by integrating semantic information.

  12. Using typed dependencies to study and recognise conceptualisation zones in biomedical literature.

    Science.gov (United States)

    Groza, Tudor

    2013-01-01

    In the biomedical domain, authors publish their experiments and findings using a quasi-standard coarse-grained discourse structure, which starts with an introduction that sets up the motivation, continues with a description of the materials and methods, and concludes with results and discussions. Over the course of the years, there has been a fair amount of research done in the area of scientific discourse analysis, with a focus on performing automatic recognition of scientific artefacts/conceptualisation zones from the raw content of scientific publications. Most of the existing approaches use Machine Learning techniques to perform classification based on features that rely on the shallow structure of the sentence tokens, or sentences as a whole, in addition to corpus-driven statistics. In this article, we investigate the role carried by the deep (dependency) structure of the sentences in describing their rhetorical nature. Using association rule mining techniques, we study the presence of dependency structure patterns in the context of a given rhetorical type, the use of these patterns in exploring differences in structure between the rhetorical types, and their ability to discriminate between the different rhetorical types. Our final goal is to provide a series of insights that can be used to complement existing classification approaches. Experimental results show that, in particular in the context of a fine-grained multi-class classification context, the association rules emerged from the dependency structure are not able to produce uniform classification results. However, they can be used to derive discriminative pair-wise classification mechanisms, in particular for some of the most ambiguous types.

  13. Using typed dependencies to study and recognise conceptualisation zones in biomedical literature.

    Directory of Open Access Journals (Sweden)

    Tudor Groza

    Full Text Available In the biomedical domain, authors publish their experiments and findings using a quasi-standard coarse-grained discourse structure, which starts with an introduction that sets up the motivation, continues with a description of the materials and methods, and concludes with results and discussions. Over the course of the years, there has been a fair amount of research done in the area of scientific discourse analysis, with a focus on performing automatic recognition of scientific artefacts/conceptualisation zones from the raw content of scientific publications. Most of the existing approaches use Machine Learning techniques to perform classification based on features that rely on the shallow structure of the sentence tokens, or sentences as a whole, in addition to corpus-driven statistics. In this article, we investigate the role carried by the deep (dependency structure of the sentences in describing their rhetorical nature. Using association rule mining techniques, we study the presence of dependency structure patterns in the context of a given rhetorical type, the use of these patterns in exploring differences in structure between the rhetorical types, and their ability to discriminate between the different rhetorical types. Our final goal is to provide a series of insights that can be used to complement existing classification approaches. Experimental results show that, in particular in the context of a fine-grained multi-class classification context, the association rules emerged from the dependency structure are not able to produce uniform classification results. However, they can be used to derive discriminative pair-wise classification mechanisms, in particular for some of the most ambiguous types.

  14. Text mining facilitates database curation - extraction of mutation-disease associations from Bio-medical literature.

    Science.gov (United States)

    Ravikumar, Komandur Elayavilli; Wagholikar, Kavishwar B; Li, Dingcheng; Kocher, Jean-Pierre; Liu, Hongfang

    2015-06-06

    Advances in the next generation sequencing technology has accelerated the pace of individualized medicine (IM), which aims to incorporate genetic/genomic information into medicine. One immediate need in interpreting sequencing data is the assembly of information about genetic variants and their corresponding associations with other entities (e.g., diseases or medications). Even with dedicated effort to capture such information in biological databases, much of this information remains 'locked' in the unstructured text of biomedical publications. There is a substantial lag between the publication and the subsequent abstraction of such information into databases. Multiple text mining systems have been developed, but most of them focus on the sentence level association extraction with performance evaluation based on gold standard text annotations specifically prepared for text mining systems. We developed and evaluated a text mining system, MutD, which extracts protein mutation-disease associations from MEDLINE abstracts by incorporating discourse level analysis, using a benchmark data set extracted from curated database records. MutD achieves an F-measure of 64.3% for reconstructing protein mutation disease associations in curated database records. Discourse level analysis component of MutD contributed to a gain of more than 10% in F-measure when compared against the sentence level association extraction. Our error analysis indicates that 23 of the 64 precision errors are true associations that were not captured by database curators and 68 of the 113 recall errors are caused by the absence of associated disease entities in the abstract. After adjusting for the defects in the curated database, the revised F-measure of MutD in association detection reaches 81.5%. Our quantitative analysis reveals that MutD can effectively extract protein mutation disease associations when benchmarking based on curated database records. The analysis also demonstrates that incorporating

  15. Medication administration errors and the pediatric population: a systematic search of the literature.

    Science.gov (United States)

    Gonzales, Kelly

    2010-12-01

    There are a variety of factors that make the pediatric population more susceptible to medication errors and potential complications resulting from medication administration including the availability of different dosage forms of the same medication, incorrect dosing, lack of standardized dosing regimen, and organ system maturity. A systematic literature search on medication administration errors in the pediatric population was conducted. Five themes obtained from the systematic literature search include incidence rate of medication administration errors; specific medications involved in medication administration errors and classification of the errors; why medication administration errors occur; medication error reporting; and interventions to reduce medication errors. Copyright © 2010 Elsevier Inc. All rights reserved.

  16. Evaluation of a new method for librarian-mediated literature searches for systematic reviews.

    Science.gov (United States)

    Bramer, Wichor M; Rethlefsen, Melissa L; Mast, Frans; Kleijnen, Jos

    2017-10-26

    To evaluate and validate the time of completion and results of a new method of searching for systematic reviews, the exhaustive search method (ESM), using a pragmatic comparison. Single-line search strategies were prepared in a text document. Term completeness was ensured with a novel optimization technique. Macros in MS Word converted the syntaxes between databases and interfaces almost automatically. We compared search characteristics, such as number of search terms and databases, and outcomes, such as number of included and retrieved references and precision, from ESM searches and other Dutch academic hospitals identified by searching PubMed for systematic reviews published between 2014 and 2016. We compared time to perform the ESM with a secondary comparator of recorded search times from published literature and contact with authors to acquire unpublished data. We identified 73 published Erasmus MC systematic reviews and 258 published by other Dutch academic hospitals meeting our criteria. We pooled search time data from 204 other systematic reviews. The ESM searches differed by using 2 times more databases, retrieving 44% more references, including 20% more studies in the final systematic review, but the time needed for the search was 8% of that of the control group. Similarities between methods include precision and the number of search terms. The evaluated similarities and differences suggest that the ESM is a highly efficient way to locate more references meeting the specified selection criteria in systematic reviews than traditional search methods. Further prospective research is required. © 2017 The Authors. Research Synthesis Methods Published by John Wiley & Sons Ltd.

  17. Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature.

    Science.gov (United States)

    Doughty, Emily; Kertesz-Farkas, Attila; Bodenreider, Olivier; Thompson, Gary; Adadey, Asa; Peterson, Thomas; Kann, Maricel G

    2011-02-01

    A major goal of biomedical research in personalized medicine is to find relationships between mutations and their corresponding disease phenotypes. However, most of the disease-related mutational data are currently buried in the biomedical literature in textual form and lack the necessary structure to allow easy retrieval and visualization. We introduce a high-throughput computational method for the identification of relevant disease mutations in PubMed abstracts applied to prostate (PCa) and breast cancer (BCa) mutations. We developed the extractor of mutations (EMU) tool to identify mutations and their associated genes. We benchmarked EMU against MutationFinder--a tool to extract point mutations from text. Our results show that both methods achieve comparable performance on two manually curated datasets. We also benchmarked EMU's performance for extracting the complete mutational information and phenotype. Remarkably, we show that one of the steps in our approach, a filter based on sequence analysis, increases the precision for that task from 0.34 to 0.59 (PCa) and from 0.39 to 0.61 (BCa). We also show that this high-throughput approach can be extended to other diseases. Our method improves the current status of disease-mutation databases by significantly increasing the number of annotated mutations. We found 51 and 128 mutations manually verified to be related to PCa and Bca, respectively, that are not currently annotated for these cancer types in the OMIM or Swiss-Prot databases. EMU's retrieval performance represents a 2-fold improvement in the number of annotated mutations for PCa and BCa. We further show that our method can benefit from full-text analysis once there is an increase in Open Access availability of full-text articles. Freely available at: http://bioinf.umbc.edu/EMU/ftp.

  18. Searching MEDLINE for Aboriginal and Torres Strait Islander health literature: questionable sensitivity.

    Science.gov (United States)

    Sladek, Ruth M; Tieman, Jennifer J; Tyndall, Jess; Phillips, Paddy A

    2013-06-01

    The extent to which existing and future research can impact on reducing health disparities relates not only to the evidence available, but the ability to find that evidence. Our objective is to quantify experts' literature searching effectiveness with respect to Aboriginal and Torres Strait Islander people's health. Nine journals were dual reviewed, and a 'gold standard' set of relevant articles was identified. Health librarians (n = 25) completed a standardised searching task using OVID MEDLINE, and results were compared with the gold standard. Sensitivity, specificity and precision rates were calculated. The gold standard comprised 136 of 1469 (9.3%) records from nine journals. Searches achieved a mean sensitivity of 53.2% (median = 64.7%, range 0.0-93.4%), specificity of 97.4% (median = 99.4%, range 52.6-100%) and precision of 83.3% (median = 91.0%, range 16.7-100%). Self-estimates of search sensitivity (post hoc) were significantly higher than observed (M = 78.9%, t = 4.812, P MEDLINE. A search filter may improve searching effectiveness for Aboriginal and Torres Strait Islander health literature. Assessment of health librarians' searching competencies warrants further professional debate and consideration. © 2013 The authors. Health Information and Libraries Journal © 2013 Health Libraries Group.

  19. Evolution of Reporting P Values in the Biomedical Literature, 1990-2015.

    Science.gov (United States)

    Chavalarias, David; Wallach, Joshua David; Li, Alvin Ho Ting; Ioannidis, John P A

    2016-03-15

    The use and misuse of P values has generated extensive debates. To evaluate in large scale the P values reported in the abstracts and full text of biomedical research articles over the past 25 years and determine how frequently statistical information is presented in ways other than P values. Automated text-mining analysis was performed to extract data on P values reported in 12,821,790 MEDLINE abstracts and in 843,884 abstracts and full-text articles in PubMed Central (PMC) from 1990 to 2015. Reporting of P values in 151 English-language core clinical journals and specific article types as classified by PubMed also was evaluated. A random sample of 1000 MEDLINE abstracts was manually assessed for reporting of P values and other types of statistical information; of those abstracts reporting empirical data, 100 articles were also assessed in full text. P values reported. Text mining identified 4,572,043 P values in 1,608,736 MEDLINE abstracts and 3,438,299 P values in 385,393 PMC full-text articles. Reporting of P values in abstracts increased from 7.3% in 1990 to 15.6% in 2014. In 2014, P values were reported in 33.0% of abstracts from the 151 core clinical journals (n = 29,725 abstracts), 35.7% of meta-analyses (n = 5620), 38.9% of clinical trials (n = 4624), 54.8% of randomized controlled trials (n = 13,544), and 2.4% of reviews (n = 71,529). The distribution of reported P values in abstracts and in full text showed strong clustering at P values of .05 and of .001 or smaller. Over time, the "best" (most statistically significant) reported P values were modestly smaller and the "worst" (least statistically significant) reported P values became modestly less significant. Among the MEDLINE abstracts and PMC full-text articles with P values, 96% reported at least 1 P value of .05 or lower, with the proportion remaining steady over time in PMC full-text articles. In 1000 abstracts that were manually reviewed, 796 were from articles reporting

  20. Searching the MEDLINE literature database through PubMed: a short guide.

    Science.gov (United States)

    Motschall, Edith; Falck-Ytter, Yngve

    2005-10-01

    The Medline database from the National Library of Medicine (NLM) contains more than 12 million bibliographic citations from over 4,600 international biomedical journals. One of the interfaces for searching Medline is PubMed, provided by the NLM for free access via the Internet (www.pubmed.gov). Also searchable with the PubMed interface are non-Medline citations, i.e. articles supplied by publishers to the NLM. Direct access to an electronic full text version is also possible if the article is available from a publisher or institution participating in Linkout (www.ncbi.nlm.nih.gov/entrez/linkout/). Some publishers provide free access to their journals. Other journals require an online license and are fee based. The following example demonstrates some of the most important search functions in PubMed. We will start out with a fast and simple approach without the use of specific searching techniques and then continue with a more sophisticated search that requires the knowledge of Medline search functions. This example will show how the application of Medline search tools and how the use of the controlled vocabulary of 'Medical Subject Headings' (MeSH) will influence the results in comparison with the fast and simple approach. Let's try to find the best evidence to answer the following question: Is a 30-year-old man with typical acid reflux symptoms for many years (gastroesophageal reflux disease, GERD) more likely to develop esophageal cancer than people without reflux symptoms? This question can be split into several components: -a patient with reflux symptoms (GERD), -esophageal cancer: etiology, risk, -study design for etiology studies: cohort studies, case-control studies.

  1. Automated Extraction Of Associations Between Methylated Genes and Diseases From Biomedical Literature

    KAUST Repository

    Bin Res, Arwa A.

    2012-12-01

    Associations between methylated genes and diseases have been investigated in several studies, and it is critical to have such information available for better understanding of diseases and clinical decisions. However, such information is scattered in a large number of electronic publications and it is difficult to manually search for it. Therefore, the goal of the project is to develop a machine learning model that can efficiently extract such information. Twelve machine learning algorithms were applied and compared in application to this problem based on three approaches that involve: document-term frequency matrices, position weight matrices, and a hybrid approach that uses the combination of the previous two. The best results we obtained by the hybrid approach with a random forest model that, in a 10-fold cross-validation, achieved F-score and accuracy of nearly 85% and 84%, respectively. On a completely separate testing set, F-score and accuracy of 89% and 88%, respectively, were obtained. Based on this model, we developed a tool that automates extraction of associations between methylated genes and diseases from electronic text. Our study contributed an efficient method for extracting specific types of associations from free text and the methodology developed here can be extended to other similar association extraction problems.

  2. On-line biomedical databases-the best source for quick search of the scientific information in the biomedicine.

    Science.gov (United States)

    Masic, Izet; Milinovic, Katarina

    2012-06-01

    Most of medical journals now has it's electronic version, available over public networks. Although there are parallel printed and electronic versions, and one other form need not to be simultaneously published. Electronic version of a journal can be published a few weeks before the printed form and must not has identical content. Electronic form of a journals may have an extension that does not contain a printed form, such as animation, 3D display, etc., or may have available fulltext, mostly in PDF or XML format, or just the contents or a summary. Access to a full text is usually not free and can be achieved only if the institution (library or host) enters into an agreement on access. Many medical journals, however, provide free access for some articles, or after a certain time (after 6 months or a year) to complete content. The search for such journals provide the network archive as High Wire Press, Free Medical Journals.com. It is necessary to allocate PubMed and PubMed Central, the first public digital archives unlimited collect journals of available medical literature, which operates in the system of the National Library of Medicine in Bethesda (USA). There are so called on- line medical journals published only in electronic form. It could be searched over on-line databases. In this paper authors shortly described about 30 data bases and short instructions how to make access and search the published papers in indexed medical journals.

  3. Searching for religion and mental health studies required health, social science, and grey literature databases.

    Science.gov (United States)

    Wright, Judy M; Cottrell, David J; Mir, Ghazala

    2014-07-01

    To determine the optimal databases to search for studies of faith-sensitive interventions for treating depression. We examined 23 health, social science, religious, and grey literature databases searched for an evidence synthesis. Databases were prioritized by yield of (1) search results, (2) potentially relevant references identified during screening, (3) included references contained in the synthesis, and (4) included references that were available in the database. We assessed the impact of databases beyond MEDLINE, EMBASE, and PsycINFO by their ability to supply studies identifying new themes and issues. We identified pragmatic workload factors that influence database selection. PsycINFO was the best performing database within all priority lists. ArabPsyNet, CINAHL, Dissertations and Theses, EMBASE, Global Health, Health Management Information Consortium, MEDLINE, PsycINFO, and Sociological Abstracts were essential for our searches to retrieve the included references. Citation tracking activities and the personal library of one of the research teams made significant contributions of unique, relevant references. Religion studies databases (Am Theo Lib Assoc, FRANCIS) did not provide unique, relevant references. Literature searches for reviews and evidence syntheses of religion and health studies should include social science, grey literature, non-Western databases, personal libraries, and citation tracking activities. Copyright © 2014 Elsevier Inc. All rights reserved.

  4. Literatura chicana: Vida en busca de forma (Chicano Literature: Life in Search of Form).

    Science.gov (United States)

    Rivera, Tomas

    The Chicano culture is searching for appropriate expression in art forms and literature. The Chicano novel and essay, often written in English, seem directed toward the North American public. The short story is the most varied in viewpoint and most versatile in form. Poetry captures the Chicano sensitivity. It is almost impossible to note the…

  5. The Interaction Network Ontology-supported modeling and mining of complex interactions represented with multiple keywords in biomedical literature.

    Science.gov (United States)

    Özgür, Arzucan; Hur, Junguk; He, Yongqun

    2016-01-01

    The Interaction Network Ontology (INO) logically represents biological interactions, pathways, and networks. INO has been demonstrated to be valuable in providing a set of structured ontological terms and associated keywords to support literature mining of gene-gene interactions from biomedical literature. However, previous work using INO focused on single keyword matching, while many interactions are represented with two or more interaction keywords used in combination. This paper reports our extension of INO to include combinatory patterns of two or more literature mining keywords co-existing in one sentence to represent specific INO interaction classes. Such keyword combinations and related INO interaction type information could be automatically obtained via SPARQL queries, formatted in Excel format, and used in an INO-supported SciMiner, an in-house literature mining program. We studied the gene interaction sentences from the commonly used benchmark Learning Logic in Language (LLL) dataset and one internally generated vaccine-related dataset to identify and analyze interaction types containing multiple keywords. Patterns obtained from the dependency parse trees of the sentences were used to identify the interaction keywords that are related to each other and collectively represent an interaction type. The INO ontology currently has 575 terms including 202 terms under the interaction branch. The relations between the INO interaction types and associated keywords are represented using the INO annotation relations: 'has literature mining keywords' and 'has keyword dependency pattern'. The keyword dependency patterns were generated via running the Stanford Parser to obtain dependency relation types. Out of the 107 interactions in the LLL dataset represented with two-keyword interaction types, 86 were identified by using the direct dependency relations. The LLL dataset contained 34 gene regulation interaction types, each of which associated with multiple keywords. A

  6. A CRF-based system for recognizing chemical entity mentions (CEMs) in biomedical literature.

    Science.gov (United States)

    Xu, Shuo; An, Xin; Zhu, Lijun; Zhang, Yunliang; Zhang, Haodong

    2015-01-01

    In order to improve information access on chemical compounds and drugs (chemical entities) described in text repositories, it is very crucial to be able to identify chemical entity mentions (CEMs) automatically within text. The CHEMDNER challenge in BioCreative IV was specially designed to promote the implementation of corresponding systems that are able to detect mentions of chemical compounds and drugs, which has two subtasks: CDI (Chemical Document Indexing) and CEM. Our system processing pipeline consists of three major components: pre-processing (sentence detection, tokenization), recognition (CRF-based approach), and post-processing (rule-based approach and format conversion). In our post-challenge system, the cost parameter in CRF model was optimized by 10-fold cross validation with grid search, and word representations feature induced by Brown clustering method was introduced. For the CEM subtask, our official runs were ranked in top position by obtaining maximum 88.79% precision, 69.08% recall and 77.70% balanced F-measure, which were improved further to 88.43% precision, 76.48% recall and 82.02% balanced F-measure in our post-challenge system. In our system, instead of extracting a CEM as a whole, we regarded it as a sequence labeling problem. Though our current system has much room for improvement, our system is valuable in showing that the performance in term of balanced F-measure can be improved largely by utilizing large amounts of relatively inexpensive un-annotated PubMed abstracts and optimizing the cost parameter in CRF model. From our practice and lessons, if one directly utilizes some open-source natural language processing (NLP) toolkits, such as OpenNLP, Standford CoreNLP, false positive (FP) rate may be very high. It is better to develop some additional rules to minimize the FP rate if one does not want to re-train the related models. Our CEM recognition system is available at: http://www.SciTeMiner.org/XuShuo/Demo/CEM.

  7. search GenBank: interactive orchestration and ad-hoc choreography of Web services in the exploration of the biomedical resources of the National Center For Biotechnology Information.

    Science.gov (United States)

    Mrozek, Dariusz; Małysiak-Mrozek, Bożena; Siążnik, Artur

    2013-03-01

    Due to the growing number of biomedical entries in data repositories of the National Center for Biotechnology Information (NCBI), it is difficult to collect, manage and process all of these entries in one place by third-party software developers without significant investment in hardware and software infrastructure, its maintenance and administration. Web services allow development of software applications that integrate in one place the functionality and processing logic of distributed software components, without integrating the components themselves and without integrating the resources to which they have access. This is achieved by appropriate orchestration or choreography of available Web services and their shared functions. After the successful application of Web services in the business sector, this technology can now be used to build composite software tools that are oriented towards biomedical data processing. We have developed a new tool for efficient and dynamic data exploration in GenBank and other NCBI databases. A dedicated search GenBank system makes use of NCBI Web services and a package of Entrez Programming Utilities (eUtils) in order to provide extended searching capabilities in NCBI data repositories. In search GenBank users can use one of the three exploration paths: simple data searching based on the specified user's query, advanced data searching based on the specified user's query, and advanced data exploration with the use of macros. search GenBank orchestrates calls of particular tools available through the NCBI Web service providing requested functionality, while users interactively browse selected records in search GenBank and traverse between NCBI databases using available links. On the other hand, by building macros in the advanced data exploration mode, users create choreographies of eUtils calls, which can lead to the automatic discovery of related data in the specified databases. search GenBank extends standard capabilities of the

  8. Brazilian academic search filter: application to the scientific literature on physical activity.

    Science.gov (United States)

    Sanz-Valero, Javier; Ferreira, Marcos Santos; Castiel, Luis David; Wanden-Berghe, Carmina; Guilam, Maria Cristina Rodrigues

    2010-10-01

    To develop a search filter in order to retrieve scientific publications on physical activity from Brazilian academic institutions. The academic search filter consisted of the descriptor "exercise" associated through the term AND, to the names of the respective academic institutions, which were connected by the term OR. The MEDLINE search was performed with PubMed on 11/16/2008. The institutions were selected according to the classification from the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) for interuniversity agreements. A total of 407 references were retrieved, corresponding to about 0.9% of all articles about physical activity and 0.5% of the Brazilian academic publications indexed in MEDLINE on the search date. When compared with the manual search undertaken, the search filter (descriptor + institutional filter) showed a sensitivity of 99% and a specificity of 100%. The institutional search filter showed high sensitivity and specificity, and is applicable to other areas of knowledge in health sciences. It is desirable that every Brazilian academic institution establish its "standard name/brand" in order to efficiently retrieve their scientific literature.

  9. [Titanium or steel as osteosynthesis material : Systematic literature search for clinical evidence].

    Science.gov (United States)

    Joeris, Alexander; Goldhahn, Sabine; Rometsch, Elke; Höntzsch, Dankward

    2017-02-01

    The selection of the appropriate implant material, stainless steel or titanium, is still the decision of the surgeon and/or the affiliated institution. Additionally, remarkable international differences can be found between the different markets, which cannot really be explained. A systematic literature search was performed to verify whether there is clinical evidence for the preference of one material over the other. The systematic literature search was performed utilizing the internet databases PubMed, Cochrane and Web of Science. Comparative studies were included that reported on adult patients with osteosynthesis of extremities after trauma using either stainless steel or titanium implants. Information was extracted about infection rates, incidence of clinically relevant allergies, problems with implant removal and other complications. A total of 18 publications were identified to be eligible and 2 referenced articles were added. In summary, there is insufficient clinical evidence that the use of titanium or steel implants has a positive or negative effect on fracture healing, shows different rates of allergies, different rates of infections or mechanical failure. No supporting evidence could be identified for the difficulties with removal of titanium implants reported by surgeons. This systematic literature search did not provide any clinical evidence for material-related differences between titanium or stainless steel implants for fracture fixation. Based on the current clinical evidence both titanium and steel implants can be considered to be of equal value. The reported difficulties with implant removal are not reflected in the published literature.

  10. Literature search strategies for interdisciplinary research a sourcebook for scientists and engineers

    CERN Document Server

    Ackerson, Linda G

    2006-01-01

    The amount of published literature can be overwhelming for scientists and researchers moving from a broad disciplinary research area to a more specialized one, particularly in fields that use information from more than one discipline. Without a focused inquiry, the researcher may find too little information or may be overcome by too much. Striking the correct balance of information is the focus of Literature Search Strategies for Interdisciplinary Research. This useful reference tool studies diverse interdisciplinary areas revealing the general and individual qualities that dictate the strateg

  11. Reporting standards for literature searches and report inclusion criteria: making research syntheses more transparent and easy to replicate.

    Science.gov (United States)

    Atkinson, Kayla M; Koenka, Alison C; Sanchez, Carmen E; Moshontz, Hannah; Cooper, Harris

    2015-03-01

    A complete description of the literature search, including the criteria used for the inclusion of reports after they have been located, used in a research synthesis or meta-analysis is critical if subsequent researchers are to accurately evaluate and reproduce a synthesis' methods and results. Based on previous guidelines and new suggestions, we present a set of focused and detailed standards for reporting the methods used in a literature search. The guidelines cover five search strategies: reference database searches, journal and bibliography searches, searches of the reference lists of reports, citation searches, and direct contact searches. First, we bring together all the unique recommendations made in existing guidelines for research synthesis. Second, we identify gaps in reporting standards for search strategies. Third, we address these gaps by providing new reporting recommendations. Our hope is to facilitate successful evaluation and replication of research synthesis results. Copyright © 2014 John Wiley & Sons, Ltd.

  12. Using Canvas to Teach Literature Search Techniques in CINAHL & PubMed to Nursing Students

    OpenAIRE

    Clancy, Stephen Lynn

    2018-01-01

    At the University of California, Irvine, Sue & Bill Gross School of Nursing, students begin formal training in their junior year. One of the first courses, “Frameworks for Professional Nursing Practice,” focuses on “the scope and standards of professional nursing practice.” Students must complete a paper on a chosen clinical and ethical issue in the nursing profession. Successful completion of this project requires the ability to search the published nursing and medical literature and retriev...

  13. Impact of librarians on reporting of the literature searching component of pediatric systematic reviews

    OpenAIRE

    Deborah Meert, MLIS; Nazi Torabi, MLIS; John Costella, DDS, MSc, MLIS

    2017-01-01

    Objective: A critical element in conducting a systematic review is the identification of studies. To date, very little empirical evidence has been reported on whether the presence of a librarian or information professional can contribute to the quality of the final product. The goal of this study was to compare the reporting rigor of the literature searching component of systematic reviews with and without the help of a librarian. Method: Systematic reviews published from 2002 to 2011 in ...

  14. Literature search on Light Water Reactor (LWR) fuel and absorber rod fabrication, 1960--1976

    Energy Technology Data Exchange (ETDEWEB)

    Sample, C R [comp.

    1977-02-01

    A literature search was conducted to provide information supporting the design of a conceptual Light Water Reactor (LWR) Fuel Fabrication plant. Emphasis was placed on fuel processing and pin bundle fabrication, effects of fuel impurities and microstructure on performance and densification, quality assurance, absorber and poison rod fabrication, and fuel pin welding. All data have been taken from publicly available documents, journals, and books. This work was sponsored by the Finishing Processes-Mixed Oxide (MOX) Fuel Fabrication Studies program at HEDL.

  15. Literature search on Light Water Reactor (LWR) fuel and absorber rod fabrication, 1960--1976

    International Nuclear Information System (INIS)

    Sample, C.R.

    1977-02-01

    A literature search was conducted to provide information supporting the design of a conceptual Light Water Reactor (LWR) Fuel Fabrication plant. Emphasis was placed on fuel processing and pin bundle fabrication, effects of fuel impurities and microstructure on performance and densification, quality assurance, absorber and poison rod fabrication, and fuel pin welding. All data have been taken from publicly available documents, journals, and books. This work was sponsored by the Finishing Processes-Mixed Oxide (MOX) Fuel Fabrication Studies program at HEDL

  16. Finding "hard to find" literature on hard to find groups: A novel technique to search grey literature on refugees and asylum seekers.

    Science.gov (United States)

    Enticott, Joanne; Buck, Kimberly; Shawyer, Frances

    2018-03-01

    There is a lack of information on how to execute effective searches of the grey literature on refugee and asylum seeker groups for inclusion in systematic reviews. High-quality government reports and other grey literature relevant to refugees may not always be identified in conventional literature searches. During the process of conducting a recent systematic review, we developed a novel strategy for systematically searching international refugee and asylum seeker-related grey literature. The approach targets governmental health departments and statistical agencies, who have considerable access to refugee and asylum seeker populations for research purposes but typically do not publish findings in academic forums. Compared to a conventional grey literature search strategy, our novel technique yielded an eightfold increase in relevant high-quality grey sources that provided valuable content in informing our review. Incorporating a search of the grey literature into systematic reviews of refugee and asylum seeker research is essential to providing a more complete view of the evidence. Our novel strategy offers a practical and feasible method of conducting systematic grey literature searches that may be adaptable to a range of research questions, contexts, and resource constraints. Copyright © 2017 John Wiley & Sons, Ltd.

  17. Grey Literature Searching for Health Sciences Systematic Reviews: A Prospective Study of Time Spent and Resources Utilized

    Science.gov (United States)

    Saleh, Ahlam A.; Ratajeski, Melissa A.; Bertolet, Marnie

    2015-01-01

    Objective To identify estimates of time taken to search grey literature in support of health sciences systematic reviews and to identify searcher or systematic review characteristics that may impact resource selection or time spent searching. Methods A survey was electronically distributed to searchers embarking on a new systematic review. Characteristics of the searcher and systematic review were collected along with time spent searching and what resources were searched. Time and resources were tabulated and resources were categorized as grey or non-grey. Data was analyzed using Kruskal-Wallis tests. Results Out of 81 original respondents, 21% followed through with completion of the surveys in their entirety. The median time spent searching all resources was 471 minutes, and of those a median of 85 minutes were spent searching grey literature. The median number of resources used in a systematic review search was four and the median number of grey literature sources searched was two. The amount of time spent searching was influenced by whether the systematic review was grant funded. Additionally, the number of resources searched was impacted by institution type and whether systematic review training was received. Conclusions This study characterized the amount of time for conducting systematic review searches including searching the grey literature, in addition to the number and types of resources used. This may aid searchers in planning their time, along with providing benchmark information for future studies. This paper contributes by quantifying current grey literature search patterns and associating them with searcher and review characteristics. Further discussion and research into the search approach for grey literature in support of systematic reviews is encouraged. PMID:25914722

  18. Grey Literature Searching for Health Sciences Systematic Reviews: A Prospective Study of Time Spent and Resources Utilized.

    Science.gov (United States)

    Saleh, Ahlam A; Ratajeski, Melissa A; Bertolet, Marnie

    To identify estimates of time taken to search grey literature in support of health sciences systematic reviews and to identify searcher or systematic review characteristics that may impact resource selection or time spent searching. A survey was electronically distributed to searchers embarking on a new systematic review. Characteristics of the searcher and systematic review were collected along with time spent searching and what resources were searched. Time and resources were tabulated and resources were categorized as grey or non-grey. Data was analyzed using Kruskal-Wallis tests. Out of 81 original respondents, 21% followed through with completion of the surveys in their entirety. The median time spent searching all resources was 471 minutes, and of those a median of 85 minutes were spent searching grey literature. The median number of resources used in a systematic review search was four and the median number of grey literature sources searched was two. The amount of time spent searching was influenced by whether the systematic review was grant funded. Additionally, the number of resources searched was impacted by institution type and whether systematic review training was received. This study characterized the amount of time for conducting systematic review searches including searching the grey literature, in addition to the number and types of resources used. This may aid searchers in planning their time, along with providing benchmark information for future studies. This paper contributes by quantifying current grey literature search patterns and associating them with searcher and review characteristics. Further discussion and research into the search approach for grey literature in support of systematic reviews is encouraged.

  19. Systematic literature searching in policy relevant, inter-disciplinary reviews: an example from culture and sport.

    Science.gov (United States)

    Schucan Bird, Karen; Tripney, Janice

    2011-09-01

    Within the systematic review process, the searching phase is critical to the final synthesis product, its use and value. Yet, relatively little is known about the utility of different search strategies for reviews of complex, inter-disciplinary evidence. This article used a recently completed programme of work on cultural and sporting engagement to conduct an empirical evaluation of a comprehensive search strategy. Ten different types of search source were evaluated, according to three dimensions: (i) effectiveness in identifying relevant studies; (ii) efficiency in identifying studies; and (iii) adding value by locating studies that were not identified by any other sources. The study found that general bibliographic databases and specialist databases ranked the highest on all three dimensions. Overall, websites and journals were the next most valuable types of source. For reviewers, these findings highlight that general and specialist databases should remain a core component of the comprehensive search strategy, supplemented with other types of sources that can efficiently identify unique or grey literature. For policy makers and other research commissioners, this study highlights the value of methodological analysis for improving the understanding of, and practice in, policy relevant, inter-disciplinary systematic reviews. Copyright © 2011 John Wiley & Sons, Ltd. Copyright © 2011 John Wiley & Sons, Ltd.

  20. MememxGATE: Unearthing Latent Content Features for Improved Search and Relevancy Ranking Across Scientific Literature

    Science.gov (United States)

    Wilson, B. D.; McGibbney, L. J.; Mattmann, C. A.; Ramirez, P.; Joyce, M.; Whitehall, K. D.

    2015-12-01

    Quantifying scientific relevancy is of increasing importance to NASA and the research community. Scientific relevancy may be defined by mapping the impacts of a particular NASA mission, instrument, and/or retrieved variables to disciplines such as climate predictions, natural hazards detection and mitigation processes, education, and scientific discoveries. Related to relevancy, is the ability to expose data with similar attributes. This in turn depends upon the ability for us to extract latent, implicit document features from scientific data and resources and make them explicit, accessible and useable for search activities amongst others. This paper presents MemexGATE; a server side application, command line interface and computing environment for running large scale metadata extraction, general architecture text engineering, document classification and indexing tasks over document resources such as social media streams, scientific literature archives, legal documentation, etc. This work builds on existing experiences using MemexGATE (funded, developed and validated through the DARPA Memex Progrjam PI Mattmann) for extracting and leveraging latent content features from document resources within the Materials Research domain. We extend the software functionality capability to the domain of scientific literature with emphasis on the expansion of gazetteer lists, named entity rules, natural language construct labeling (e.g. synonym, antonym, hyponym, etc.) efforts to enable extraction of latent content features from data hosted by wide variety of scientific literature vendors (AGU Meeting Abstract Database, Springer, Wiley Online, Elsevier, etc.) hosting earth science literature. Such literature makes both implicit and explicit references to NASA datasets and relationships between such concepts stored across EOSDIS DAAC's hence we envisage that a significant part of this effort will also include development and understanding of relevancy signals which can ultimately

  1. Complementary Value of Databases for Discovery of Scholarly Literature: A User Survey of Online Searching for Publications in Art History

    Science.gov (United States)

    Nemeth, Erik

    2010-01-01

    Discovery of academic literature through Web search engines challenges the traditional role of specialized research databases. Creation of literature outside academic presses and peer-reviewed publications expands the content for scholarly research within a particular field. The resulting body of literature raises the question of whether scholars…

  2. Searching and synthesising 'grey literature' and 'grey information' in public health: critical reflections on three case studies.

    Science.gov (United States)

    Adams, Jean; Hillier-Brown, Frances C; Moore, Helen J; Lake, Amelia A; Araujo-Soares, Vera; White, Martin; Summerbell, Carolyn

    2016-09-29

    Grey literature includes a range of documents not controlled by commercial publishing organisations. This means that grey literature can be difficult to search and retrieve for evidence synthesis. Much knowledge and evidence in public health, and other fields, accumulates from innovation in practice. This knowledge may not even be of sufficient formality to meet the definition of grey literature. We term this knowledge 'grey information'. Grey information may be even harder to search for and retrieve than grey literature. On three previous occasions, we have attempted to systematically search for and synthesise public health grey literature and information-both to summarise the extent and nature of particular classes of interventions and to synthesise results of evaluations. Here, we briefly describe these three 'case studies' but focus on our post hoc critical reflections on searching for and synthesising grey literature and information garnered from our experiences of these case studies. We believe these reflections will be useful to future researchers working in this area. Issues discussed include search methods, searching efficiency, replicability of searches, data management, data extraction, assessing study 'quality', data synthesis, time and resources, and differentiating evidence synthesis from primary research. Information on applied public health research questions relating to the nature and range of public health interventions, as well as many evaluations of these interventions, may be predominantly, or only, held in grey literature and grey information. Evidence syntheses on these topics need, therefore, to embrace grey literature and information. Many typical systematic review methods for searching, appraising, managing, and synthesising the evidence base can be adapted for use with grey literature and information. Evidence synthesisers should carefully consider the opportunities and problems offered by including grey literature and information

  3. A systematic literature search on psychological first aid: lack of evidence to develop guidelines.

    Directory of Open Access Journals (Sweden)

    Tessa Dieltjens

    Full Text Available BACKGROUND: Providing psychological first aid (PFA is generally considered to be an important element in preliminary care of disaster victims. Using the best available scientific basis for courses and educational materials, the Belgian Red Cross-Flanders wants to ensure that its volunteers are trained in the best way possible. OBJECTIVE: To identify effective PFA practices, by systematically reviewing the evidence in existing guidelines, systematic reviews and individual studies. METHODS: Systematic literature searches in five bibliographic databases (MEDLINE, PsycINFO, The Cochrane Library, PILOTS and G-I-N were conducted from inception to July 2013. RESULTS: Five practice guidelines were included which were found to vary in the development process (AGREE II score 20-53% and evidence base used. None of them provides solid evidence concerning the effectiveness of PFA practices. Additionally, two systematic reviews of PFA were found, both noting a lack of studies on PFA. A complementary search for individual studies, using a more sensitive search strategy, identified 11 237 references of which 102 were included for further full-text examination, none of which ultimately provides solid evidence concerning the effectiveness of PFA practices. CONCLUSION: The scientific literature on psychological first aid available to date, does not provide any evidence about the effectiveness of PFA interventions. Currently it is impossible to make evidence-based guidelines about which practices in psychosocial support are most effective to help disaster and trauma victims.

  4. Literature Search Strategies for Conducting Knowledge-building and Theory-generating Qualitative Systematic Reviews: Discussion Paper

    Science.gov (United States)

    Johnson, E. Diane

    2012-01-01

    Aim This paper is a report of literature search strategies for the purpose of conducting knowledge-building and theory-generating qualitative systematic reviews. Background Qualitative systematic reviews lie on a continuum from knowledge-building and theory-generating to aggregating and summarizing. Different types of literature searches are needed to optimally support these dissimilar reviews. Data Sources Articles published between 1989 - Autumn 2011. These documents were identified using a hermeneutic approach and multiple literature search strategies. Discussion Redundancy is not the sole measure of validity when conducting knowledge-building and theory-generating systematic reviews. When conducting these types of reviews, literature searches should be consistent with the goal of fully explicating concepts and the interrelationships among them. To accomplish this objective, a berry picking approach is recommended along with strategies for overcoming barriers to finding qualitative research reports. Implications To enhance integrity of knowledge-building and theory-generating systematic reviews, reviewers are urged to make literature search processes as transparent as possible, despite their complexity. This includes fully explaining and rationalizing what databases were used and how they were searched. It also means describing how literature tracking was conducted and grey literature was searched. In the end, the decision to cease searching also needs to be fully explained and rationalized. Conclusion Predetermined linear search strategies are unlikely to generate search results that are adequate for purposes of conducting knowledge-building and theory-generating qualitative systematic reviews. Instead, it is recommended that iterative search strategies take shape as reviews evolve. PMID:22591030

  5. PubMed vs. HighWire Press: a head-to-head comparison of two medical literature search engines.

    Science.gov (United States)

    Vanhecke, Thomas E; Barnes, Michael A; Zimmerman, Janet; Shoichet, Sandor

    2007-09-01

    PubMed and HighWire Press are both useful medical literature search engines available for free to anyone on the internet. We measured retrieval accuracy, number of results generated, retrieval speed, features and search tools on HighWire Press and PubMed using the quick search features of each. We found that using HighWire Press resulted in a higher likelihood of retrieving the desired article and higher number of search results than the same search on PubMed. PubMed was faster than HighWire Press in delivering search results regardless of search settings. There are considerable differences in search features between these two search engines.

  6. Novel citation-based search method for scientific literature: application to meta-analyses.

    Science.gov (United States)

    Janssens, A Cecile J W; Gwinn, M

    2015-10-13

    Finding eligible studies for meta-analysis and systematic reviews relies on keyword-based searching as the gold standard, despite its inefficiency. Searching based on direct citations is not sufficiently comprehensive. We propose a novel strategy that ranks articles on their degree of co-citation with one or more "known" articles before reviewing their eligibility. In two independent studies, we aimed to reproduce the results of literature searches for sets of published meta-analyses (n = 10 and n = 42). For each meta-analysis, we extracted co-citations for the randomly selected 'known' articles from the Web of Science database, counted their frequencies and screened all articles with a score above a selection threshold. In the second study, we extended the method by retrieving direct citations for all selected articles. In the first study, we retrieved 82% of the studies included in the meta-analyses while screening only 11% as many articles as were screened for the original publications. Articles that we missed were published in non-English languages, published before 1975, published very recently, or available only as conference abstracts. In the second study, we retrieved 79% of included studies while screening half the original number of articles. Citation searching appears to be an efficient and reasonably accurate method for finding articles similar to one or more articles of interest for meta-analysis and reviews.

  7. Application of an automated natural language processing (NLP) workflow to enable federated search of external biomedical content in drug discovery and development.

    Science.gov (United States)

    McEntire, Robin; Szalkowski, Debbie; Butler, James; Kuo, Michelle S; Chang, Meiping; Chang, Man; Freeman, Darren; McQuay, Sarah; Patel, Jagruti; McGlashen, Michael; Cornell, Wendy D; Xu, Jinghai James

    2016-05-01

    External content sources such as MEDLINE(®), National Institutes of Health (NIH) grants and conference websites provide access to the latest breaking biomedical information, which can inform pharmaceutical and biotechnology company pipeline decisions. The value of the sites for industry, however, is limited by the use of the public internet, the limited synonyms, the rarity of batch searching capability and the disconnected nature of the sites. Fortunately, many sites now offer their content for download and we have developed an automated internal workflow that uses text mining and tailored ontologies for programmatic search and knowledge extraction. We believe such an efficient and secure approach provides a competitive advantage to companies needing access to the latest information for a range of use cases and complements manually curated commercial sources. Copyright © 2016. Published by Elsevier Ltd.

  8. Impact of librarians on reporting of the literature searching component of pediatric systematic reviews*

    Science.gov (United States)

    Meert, Deborah; Torabi, Nazi; Costella, John

    2016-01-01

    Objective A critical element in conducting a systematic review is the identification of studies. To date, very little empirical evidence has been reported on whether the presence of a librarian or information professional can contribute to the quality of the final product. The goal of this study was to compare the reporting rigor of the literature searching component of systematic reviews with and without the help of a librarian. Method Systematic reviews published from 2002 to 2011 in the twenty highest impact factor pediatrics journals were collected from MEDLINE. Corresponding authors were contacted via an email survey to determine if a librarian was involved, the role that the librarian played, and functions that the librarian performed. The reviews were scored independently by two reviewers using a fifteen-item checklist. Results There were 186 reviews that met the inclusion criteria, and 44% of the authors indicated the involvement of a librarian in conducting the systematic review. With the presence of a librarian as coauthor or team member, the mean checklist score was 8.40, compared to 6.61 (previews without a librarian. Conclusions Findings indicate that having a librarian as a coauthor or team member correlates with a higher score in the literature searching component of systematic reviews. PMID:27822147

  9. Impact of librarians on reporting of the literature searching component of pediatric systematic reviews.

    Science.gov (United States)

    Meert, Deborah; Torabi, Nazi; Costella, John

    2016-10-01

    A critical element in conducting a systematic review is the identification of studies. To date, very little empirical evidence has been reported on whether the presence of a librarian or information professional can contribute to the quality of the final product. The goal of this study was to compare the reporting rigor of the literature searching component of systematic reviews with and without the help of a librarian. Systematic reviews published from 2002 to 2011 in the twenty highest impact factor pediatrics journals were collected from MEDLINE. Corresponding authors were contacted via an email survey to determine if a librarian was involved, the role that the librarian played, and functions that the librarian performed. The reviews were scored independently by two reviewers using a fifteen-item checklist. There were 186 reviews that met the inclusion criteria, and 44% of the authors indicated the involvement of a librarian in conducting the systematic review. With the presence of a librarian as coauthor or team member, the mean checklist score was 8.40, compared to 6.61 ( p <0.001) for reviews without a librarian. Findings indicate that having a librarian as a coauthor or team member correlates with a higher score in the literature searching component of systematic reviews.

  10. A literature search tool for intelligent extraction of disease-associated genes.

    Science.gov (United States)

    Jung, Jae-Yoon; DeLuca, Todd F; Nelson, Tristan H; Wall, Dennis P

    2014-01-01

    To extract disorder-associated genes from the scientific literature in PubMed with greater sensitivity for literature-based support than existing methods. We developed a PubMed query to retrieve disorder-related, original research articles. Then we applied a rule-based text-mining algorithm with keyword matching to extract target disorders, genes with significant results, and the type of study described by the article. We compared our resulting candidate disorder genes and supporting references with existing databases. We demonstrated that our candidate gene set covers nearly all genes in manually curated databases, and that the references supporting the disorder-gene link are more extensive and accurate than other general purpose gene-to-disorder association databases. We implemented a novel publication search tool to find target articles, specifically focused on links between disorders and genotypes. Through comparison against gold-standard manually updated gene-disorder databases and comparison with automated databases of similar functionality we show that our tool can search through the entirety of PubMed to extract the main gene findings for human diseases rapidly and accurately.

  11. Comparison of Four Search Engines and their efficacy With Emphasis on Literature Research in Addiction (Prevention and Treatment).

    Science.gov (United States)

    Samadzadeh, Gholam Reza; Rigi, Tahereh; Ganjali, Ali Reza

    2013-01-01

    Surveying valuable and most recent information from internet, has become vital for researchers and scholars, because every day, thousands and perhaps millions of scientific works are brought out as digital resources which represented by internet and researchers can't ignore this great resource to find related documents for their literature search, which may not be found in any library. With regard to variety of documents presented on the internet, search engines are one of the most effective search tools for finding information. The aim of this study is to evaluate the three criteria, recall, preciseness and importance of the four search engines which are PubMed, Science Direct, Google Scholar and federated search of Iranian National Medical Digital Library in addiction (prevention and treatment) to select the most effective search engine for offering the best literature research. This research was a cross-sectional study by which four popular search engines in medical sciences were evaluated. To select keywords, medical subject heading (Mesh) was used. We entered given keywords in the search engines and after searching, 10 first entries were evaluated. Direct observation was used as a mean for data collection and they were analyzed by descriptive statistics (number, percent number and mean) and inferential statistics, One way analysis of variance (ANOVA) and post hoc Tukey in Spss. 15 statistical software. P Value search engines had different operations with regard to the evaluated criteria. Since P Value was 0.004 search engines. PubMed, Science Direct and Google Scholar were the best in recall, preciseness and importance respectively. As literature research is one of the most important stages of research, it's better for researchers, especially Substance-Related Disorders scholars to use different search engines with the best recall, preciseness and importance in that subject field to reach desirable results while searching and they don't depend on just one

  12. LITERATURE SEARCH FOR METHODS FOR HAZARD ANALYSES OF AIR CARRIER OPERATIONS.

    Energy Technology Data Exchange (ETDEWEB)

    MARTINEZ - GURIDI,G.; SAMANTA,P.

    2002-07-01

    Representatives of the Federal Aviation Administration (FAA) and several air carriers under Title 14 of the Code of Federal Regulations (CFR) Part 121 developed a system-engineering model of the functions of air-carrier operations. Their analyses form the foundation or basic architecture upon which other task areas are based: hazard analyses, performance measures, and risk indicator design. To carry out these other tasks, models may need to be developed using the basic architecture of the Air Carrier Operations System Model (ACOSM). Since ACOSM encompasses various areas of air-carrier operations and can be used to address different task areas with differing but interrelated objectives, the modeling needs are broad. A literature search was conducted to identify and analyze the existing models that may be applicable for pursuing the task areas in ACOSM. The intent of the literature search was not necessarily to identify a specific model that can be directly used, but rather to identify relevant ones that have similarities with the processes and activities defined within ACOSM. Such models may provide useful inputs and insights in structuring ACOSM models. ACOSM simulates processes and activities in air-carrier operation, but, in a general framework, it has similarities with other industries where attention also has been paid to hazard analyses, emphasizing risk management, and in designing risk indicators. To assure that efforts in other industries are adequately considered, the literature search includes publications from other industries, e.g., chemical, nuclear, and process industries. This report discusses the literature search, the relevant methods identified and provides a preliminary assessment of their use in developing the models needed for the ACOSM task areas. A detailed assessment of the models has not been made. Defining those applicable for ACOSM will need further analyses of both the models and tools identified. The report is organized in four chapters

  13. Literature search, review, and compilation of data for chemical and radiochemical sensors: Task 1 report

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1993-01-01

    During the next several decades, the US Department of Energy is expected to spend tens of billions of dollars in the characterization, cleanup, and monitoring of DOE`s current and former installations that have various degrees of soil and groundwater contamination made up of both hazardous and mixed wastes. Each of these phases will require site surveys to determine type and quantity of hazardous and mixed wastes. It is generally recognized that these required survey and monitoring efforts cannot be performed using traditional chemistry methods based on laboratory evaluation of samples from the field. For that reason, a tremendous push during the past decade or so has been made on research and development of sensors. This report contains the results of an extensive literature search on sensors that are used or have applicability in environmental and waste management. While restricting the search to a relatively small part of the total chemistry spectrum, a sizable body of reference material is included. Results are presented in tabular form for general references obtained from data base searches, as narrative reviews of relevant chapters from proceedings, as book reviews, and as reviews of journal articles with particular relevance to the review. Four broad sensor types are covered: electrochemical processes, piezoelectric devices, fiber optics, and radiochemical processes. The topics of surface chemistry processes and biosensors are not treated separately because they often are an adjunct to one of the four sensors listed. About 1,000 tabular entries are listed, including selected journal articles, reviews of conference/meeting proceedings, and books. Literature to about mid-1992 is covered.

  14. Literature search, review, and compilation of data for chemical and radiochemical sensors: Task 1 report

    International Nuclear Information System (INIS)

    1993-01-01

    During the next several decades, the US Department of Energy is expected to spend tens of billions of dollars in the characterization, cleanup, and monitoring of DOE's current and former installations that have various degrees of soil and groundwater contamination made up of both hazardous and mixed wastes. Each of these phases will require site surveys to determine type and quantity of hazardous and mixed wastes. It is generally recognized that these required survey and monitoring efforts cannot be performed using traditional chemistry methods based on laboratory evaluation of samples from the field. For that reason, a tremendous push during the past decade or so has been made on research and development of sensors. This report contains the results of an extensive literature search on sensors that are used or have applicability in environmental and waste management. While restricting the search to a relatively small part of the total chemistry spectrum, a sizable body of reference material is included. Results are presented in tabular form for general references obtained from data base searches, as narrative reviews of relevant chapters from proceedings, as book reviews, and as reviews of journal articles with particular relevance to the review. Four broad sensor types are covered: electrochemical processes, piezoelectric devices, fiber optics, and radiochemical processes. The topics of surface chemistry processes and biosensors are not treated separately because they often are an adjunct to one of the four sensors listed. About 1,000 tabular entries are listed, including selected journal articles, reviews of conference/meeting proceedings, and books. Literature to about mid-1992 is covered

  15. Biomedical engineering principles

    CERN Document Server

    Ritter, Arthur B; Valdevit, Antonio; Ascione, Alfred N

    2011-01-01

    Introduction: Modeling of Physiological ProcessesCell Physiology and TransportPrinciples and Biomedical Applications of HemodynamicsA Systems Approach to PhysiologyThe Cardiovascular SystemBiomedical Signal ProcessingSignal Acquisition and ProcessingTechniques for Physiological Signal ProcessingExamples of Physiological Signal ProcessingPrinciples of BiomechanicsPractical Applications of BiomechanicsBiomaterialsPrinciples of Biomedical Capstone DesignUnmet Clinical NeedsEntrepreneurship: Reasons why Most Good Designs Never Get to MarketAn Engineering Solution in Search of a Biomedical Problem

  16. CheNER: a tool for the identification of chemical entities and their classes in biomedical literature.

    Science.gov (United States)

    Usié, Anabel; Cruz, Joaquim; Comas, Jorge; Solsona, Francesc; Alves, Rui

    2015-01-01

    Small chemical molecules regulate biological processes at the molecular level. Those molecules are often involved in causing or treating pathological states. Automatically identifying such molecules in biomedical text is difficult due to both, the diverse morphology of chemical names and the alternative types of nomenclature that are simultaneously used to describe them. To address these issues, the last BioCreAtIvE challenge proposed a CHEMDNER task, which is a Named Entity Recognition (NER) challenge that aims at labelling different types of chemical names in biomedical text. To address this challenge we tested various approaches to recognizing chemical entities in biomedical documents. These approaches range from linear Conditional Random Fields (CRFs) to a combination of CRFs with regular expression and dictionary matching, followed by a post-processing step to tag those chemical names in a corpus of Medline abstracts. We named our best performing systems CheNER. We evaluate the performance of the various approaches using the F-score statistics. Higher F-scores indicate better performance. The highest F-score we obtain in identifying unique chemical entities is 72.88%. The highest F-score we obtain in identifying all chemical entities is 73.07%. We also evaluate the F-Score of combining our system with ChemSpot, and find an increase from 72.88% to 73.83%. CheNER presents a valid alternative for automated annotation of chemical entities in biomedical documents. In addition, CheNER may be used to derive new features to train newer methods for tagging chemical entities. CheNER can be downloaded from http://metres.udl.cat and included in text annotation pipelines.

  17. Searching lab on a chip literature: the need for a glossary of terms and concepts in a multidisciplinary environment

    NARCIS (Netherlands)

    Eijkel, Jan C.T.

    2008-01-01

    This paper investigates the problem of searching literature in a multidisciplinary environment. It is found that much relevant literature is not found because other disciplines use a different terminology, different units, or slightly different (but related) concepts. The paper suggests some

  18. Enrolment and Retention of African Women in Biomedical Research ...

    African Journals Online (AJOL)

    Relevant biomedical research literatures on Human Research Participants from Scirus, Pubmed and Medline computerized search were critically evaluated and highlighted. Information was also obtained from research ethics training as well as texts and journals in the medical libraries of the research ethics departments of ...

  19. Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection.

    Science.gov (United States)

    Xu, Rong; Wang, QuanQiu

    2014-01-15

    Independent data sources can be used to augment post-marketing drug safety signal detection. The vast amount of publicly available biomedical literature contains rich side effect information for drugs at all clinical stages. In this study, we present a large-scale signal boosting approach that combines over 4 million records in the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) and over 21 million biomedical articles. The datasets are comprised of 4,285,097 records from FAERS and 21,354,075 MEDLINE articles. We first extracted all drug-side effect (SE) pairs from FAERS. Our study implemented a total of seven signal ranking algorithms. We then compared these different ranking algorithms before and after they were boosted with signals from MEDLINE sentences or abstracts. Finally, we manually curated all drug-cardiovascular (CV) pairs that appeared in both data sources and investigated whether our approach can detect many true signals that have not been included in FDA drug labels. We extracted a total of 2,787,797 drug-SE pairs from FAERS with a low initial precision of 0.025. The ranking algorithm combined signals from both FAERS and MEDLINE, significantly improving the precision from 0.025 to 0.371 for top-ranked pairs, representing a 13.8 fold elevation in precision. We showed by manual curation that drug-SE pairs that appeared in both data sources were highly enriched with true signals, many of which have not yet been included in FDA drug labels. We have developed an efficient and effective drug safety signal ranking and strengthening approach We demonstrate that large-scale combining information from FAERS and biomedical literature can significantly contribute to drug safety surveillance.

  20. Delivering a MOOC for literature searching in health libraries: evaluation of a pilot project.

    Science.gov (United States)

    Young, Gil; McLaren, Lisa; Maden, Michelle

    2017-12-01

    In an era when library budgets are being reduced, Massive Online Open Courses (MOOC's) can offer practical and viable alternatives to the delivery of costly face-to-face training courses. In this study, guest writers Gil Young from Health Care Libraries Unit - North, Lisa McLaren from Brighton and Sussex Medical School and Liverpool University PhD student Michelle Maden describe the outcomes of a funded project they led to develop a MOOC to deliver literature search training for health librarians. Funded by Health Education England, the MOOC was developed by the Library and Information Health Network North West as a pilot project that ran for six weeks. In particular, the MOOC target audience is discussed, how content was developed for the MOOC, promotion and participation, cost-effectiveness, evaluation, the impact of the MOOC and recommendations for future development. H. S. © 2017 Health Libraries Group.

  1. Finding abbreviations in biomedical literature: three BioC-compatible modules and four BioC-formatted corpora.

    Science.gov (United States)

    Islamaj Doğan, Rezarta; Comeau, Donald C; Yeganova, Lana; Wilbur, W John

    2014-01-01

    BioC is a recently created XML format to share text data and annotations, and an accompanying input/output library to promote interoperability of data and tools for natural language processing of biomedical text. This article reports the use of BioC to address a common challenge in processing biomedical text information-that of frequent entity name abbreviation. We selected three different abbreviation definition identification modules, and used the publicly available BioC code to convert these independent modules into BioC-compatible components that interact seamlessly with BioC-formatted data, and other BioC-compatible modules. In addition, we consider four manually annotated corpora of abbreviations in biomedical text: the Ab3P corpus of 1250 PubMed abstracts, the BIOADI corpus of 1201 PubMed abstracts, the old MEDSTRACT corpus of 199 PubMed(®) citations and the Schwartz and Hearst corpus of 1000 PubMed abstracts. Annotations in these corpora have been re-evaluated by four annotators and their consistency and quality levels have been improved. We converted them to BioC-format and described the representation of the annotations. These corpora are used to measure the three abbreviation-finding algorithms and the results are given. The BioC-compatible modules, when compared with their original form, have no difference in their efficiency, running time or any other comparable aspects. They can be conveniently used as a common pre-processing step for larger multi-layered text-mining endeavors. Database URL: Code and data are available for download at the BioC site: http://bioc.sourceforge.net. Published by Oxford University Press 2014. This work is written by US Government employees and is in the public domain in the US.

  2. The Global Burden of Journal Peer Review in the Biomedical Literature: Strong Imbalance in the Collective Enterprise.

    Directory of Open Access Journals (Sweden)

    Michail Kovanis

    Full Text Available The growth in scientific production may threaten the capacity for the scientific community to handle the ever-increasing demand for peer review of scientific publications. There is little evidence regarding the sustainability of the peer-review system and how the scientific community copes with the burden it poses. We used mathematical modeling to estimate the overall quantitative annual demand for peer review and the supply in biomedical research. The modeling was informed by empirical data from various sources in the biomedical domain, including all articles indexed at MEDLINE. We found that for 2015, across a range of scenarios, the supply exceeded by 15% to 249% the demand for reviewers and reviews. However, 20% of the researchers performed 69% to 94% of the reviews. Among researchers actually contributing to peer review, 70% dedicated 1% or less of their research work-time to peer review while 5% dedicated 13% or more of it. An estimated 63.4 million hours were devoted to peer review in 2015, among which 18.9 million hours were provided by the top 5% contributing reviewers. Our results support that the system is sustainable in terms of volume but emphasizes a considerable imbalance in the distribution of the peer-review effort across the scientific community. Finally, various individual interactions between authors, editors and reviewers may reduce to some extent the number of reviewers who are available to editors at any point.

  3. The Global Burden of Journal Peer Review in the Biomedical Literature: Strong Imbalance in the Collective Enterprise.

    Science.gov (United States)

    Kovanis, Michail; Porcher, Raphaël; Ravaud, Philippe; Trinquart, Ludovic

    2016-01-01

    The growth in scientific production may threaten the capacity for the scientific community to handle the ever-increasing demand for peer review of scientific publications. There is little evidence regarding the sustainability of the peer-review system and how the scientific community copes with the burden it poses. We used mathematical modeling to estimate the overall quantitative annual demand for peer review and the supply in biomedical research. The modeling was informed by empirical data from various sources in the biomedical domain, including all articles indexed at MEDLINE. We found that for 2015, across a range of scenarios, the supply exceeded by 15% to 249% the demand for reviewers and reviews. However, 20% of the researchers performed 69% to 94% of the reviews. Among researchers actually contributing to peer review, 70% dedicated 1% or less of their research work-time to peer review while 5% dedicated 13% or more of it. An estimated 63.4 million hours were devoted to peer review in 2015, among which 18.9 million hours were provided by the top 5% contributing reviewers. Our results support that the system is sustainable in terms of volume but emphasizes a considerable imbalance in the distribution of the peer-review effort across the scientific community. Finally, various individual interactions between authors, editors and reviewers may reduce to some extent the number of reviewers who are available to editors at any point.

  4. Searching for Animal Sentience: A Systematic Review of the Scientific Literature

    Directory of Open Access Journals (Sweden)

    Amelia R. Cornish

    2013-09-01

    Full Text Available Knowledge of animal sentience is fundamental to many disciplines and imperative to the animal welfare movement. In this review, we examined what is being explored and discussed, regarding animal sentience, within the scientific literature. Rather than attempting to extract meaning from the many complex and abstract definitions of animal sentience, we searched over two decades of scientific literature using a peer-reviewed list of 174 keywords. The list consisted of human emotions, terminology associated with animal sentience, and traits often thought to be indicative of subjective states. We discovered that very little was actually being explored, and instead there was already much agreement about what animals can feel. Why then is there so much scepticism surrounding the science of animal sentience? Sentience refers to the subjective states of animals, and so is often thought to be impossible to measure objectively. However, when we consider that much of the research found to accept and utilise animal sentience is performed for the development of human drugs and treatment, it appears that measuring sentience is, after all, not quite as impossible as was previously thought. In this paper, we explored what has been published on animal sentience in the scientific literature and where the gaps in research lie. We drew conclusions on the implications for animal welfare science and argued for the importance of addressing these gaps in our knowledge. We found that there is a need for more research on positive emotional states in animals, and that there is still much to learn about taxa such as invertebrates. Such information will not only be useful in supporting and initiating legislative amendments but will help to increase understanding, and potentially positive actions and attitudes towards animals.

  5. Searching for Animal Sentience: A Systematic Review of the Scientific Literature.

    Science.gov (United States)

    Proctor, Helen S; Carder, Gemma; Cornish, Amelia R

    2013-09-04

    Knowledge of animal sentience is fundamental to many disciplines and imperative to the animal welfare movement. In this review, we examined what is being explored and discussed, regarding animal sentience, within the scientific literature. Rather than attempting to extract meaning from the many complex and abstract definitions of animal sentience, we searched over two decades of scientific literature using a peer-reviewed list of 174 keywords. The list consisted of human emotions, terminology associated with animal sentience, and traits often thought to be indicative of subjective states. We discovered that very little was actually being explored, and instead there was already much agreement about what animals can feel. Why then is there so much scepticism surrounding the science of animal sentience? Sentience refers to the subjective states of animals, and so is often thought to be impossible to measure objectively. However, when we consider that much of the research found to accept and utilise animal sentience is performed for the development of human drugs and treatment, it appears that measuring sentience is, after all, not quite as impossible as was previously thought. In this paper, we explored what has been published on animal sentience in the scientific literature and where the gaps in research lie. We drew conclusions on the implications for animal welfare science and argued for the importance of addressing these gaps in our knowledge. We found that there is a need for more research on positive emotional states in animals, and that there is still much to learn about taxa such as invertebrates. Such information will not only be useful in supporting and initiating legislative amendments but will help to increase understanding, and potentially positive actions and attitudes towards animals.

  6. Development and Testing of a Literature Search Protocol for Evidence Based Nursing: An Applied Student Learning Experience

    OpenAIRE

    Andy Hickner; Christopher R. Friese; Margaret Irwin

    2011-01-01

    Objective – The study aimed to develop a search protocol and evaluate reviewers' satisfaction with an evidence-based practice (EBP) review by embedding a library science student in the process.Methods – The student was embedded in one of four review teams overseen by a professional organization for oncology nurses (ONS). A literature search protocol was developed by the student following discussion and feedback from the review team. Organization staff provided process feedback. Reviewers from...

  7. Support needs of patients with COPD: a systematic literature search and narrative review.

    Science.gov (United States)

    Gardener, A Carole; Ewing, Gail; Kuhn, Isla; Farquhar, Morag

    2018-01-01

    Understanding the breadth of patients' support needs is important for the delivery of person-centered care, particularly in progressive long-term conditions such as chronic obstructive pulmonary disease (COPD). Existing reviews identify important aspects of managing life with COPD with which patients may need support (support needs); however, none of these comprehensively outlines the full range of support needs that patients can experience. We therefore sought to systematically determine the full range of support needs for patients with COPD to inform development of an evidence-based tool to enable person-centered care. We conducted a systematic search and narrative review of the literature. Medline (Ovid), EMBASE, PsycINFO, Cochrane Library, and CINAHL were systematically searched for papers which included data addressing key aspects of support need, as identified by patients with COPD. Relevant data were extracted, and a narrative analysis was conducted. Thirty-one papers were included in the review, and the following 13 domains (broad areas) of support need were identified: 1) understanding COPD, 2) managing symptoms and medication, 3) healthy lifestyle, 4) managing feelings and worries, 5) living positively with COPD, 6) thinking about the future, 7) anxiety and depression, 8) practical support, 9) finance work and housing, 10) families and close relationships, 11) social and recreational life, 12) independence, and 13) navigating services. These 13 domains of support need were mapped to three of the four overarching categories of need commonly used in relevant national strategy documents (ie, physical, psychological, and social); however, support needs related to the fourth category (spiritual) were notably absent. This review systematically identifies the comprehensive set of domains of support need for patients with COPD. The findings provide the evidence base for a tool to help patients identify and express their support needs, which underpins a proposed

  8. Development and Testing of a Literature Search Protocol for Evidence Based Nursing: An Applied Student Learning Experience

    Directory of Open Access Journals (Sweden)

    Andy Hickner

    2011-09-01

    Full Text Available Objective – The study aimed to develop a search protocol and evaluate reviewers' satisfaction with an evidence-based practice (EBP review by embedding a library science student in the process.Methods – The student was embedded in one of four review teams overseen by a professional organization for oncology nurses (ONS. A literature search protocol was developed by the student following discussion and feedback from the review team. Organization staff provided process feedback. Reviewers from both case and control groups completed a questionnaire to assess satisfaction with the literature search phases of the review process. Results – A protocol was developed and refined for use by future review teams. The collaboration and the resulting search protocol were beneficial for both the student and the review team members. The questionnaire results did not yield statistically significant differences regarding satisfaction with the search process between case and control groups. Conclusions – Evidence-based reviewers' satisfaction with the literature searching process depends on multiple factors and it was not clear that embedding an LIS specialist in the review team improved satisfaction with the process. Future research with more respondents may elucidate specific factors that may impact reviewers' assessment.

  9. Finding a needle in the haystack: performing an in-depth literature search to answer a clinical question

    Directory of Open Access Journals (Sweden)

    George GS

    2014-06-01

    Full Text Available Gwen S George, Laurie Anne Ferguson, Patricia F PearceLoyola University New Orleans, School of Nursing, New Orleans, LA, USAAbstract: Evidence-based practice requires clinicians to review current literature for evidence-based information that demonstrates solutions for clinical problems. The daunting process of navigating extensive electronic publication sources, including citation databases, guidelines, and clinical proceedings, can feel much like finding a needle in the proverbial haystack. Knowing where to get information and strategically maneuvering search terms, Boolean operators, and available delimiters requires investment in learning how they work and then skillful deployment. Time spent in learning the systems is gained back by executing a well-honed search that yields citations that are appropriate for the clinical problem. Search terms and use of effective investigative tools focus the search and produce a comprehensive listing of references. The purpose of this article was to detail the steps in completing a comprehensive literature search when focused on a clinical question. Location of pertinent literature, the multiple characteristics of citation databases and instruction on how to use them, as well as how to manage the located citations are included.Keywords: search techniques, evidence-based practice, graduate nursing education

  10. [Quality assurance as the topic in medical periodicals. Results of a literature search].

    Science.gov (United States)

    Thomeczek, C; Ollenschläger, G

    1997-02-01

    Against the background of the increasing importance of quality assurance procedures for the medical profession, it was questioned to which extend the topic "quality assurance" is content in medical journals. The frequency of articles with the key word "quality assurance" in German journals for the period from 1/1992 to 9/1996 was analyzed by using a literature search on Knowledge Finder's Health Star database. Journals for the clinical physician and the physician in the medical practice, that listed more than 200 articles, were taken into account. By using the key word "quality assurance", 276 articles were found (79 in 6 interdisciplinary journals, 197 in 22 medical journals). Interdisciplinary journals published between 8 and 25 (median: 13, rank 1: Zeitschrift für ärztliche Fortbildung), medical journals between 2 and 56 (median 13, rank 1: Chirurg). This analysis leads to the conclusion that a comprehensive continuing education about medical and interdisciplinary aspects of quality assurance in medicine only by reading common German medical journals may not be sufficient.

  11. The discordance between clinical and radiographic knee osteoarthritis: A systematic search and summary of the literature

    Directory of Open Access Journals (Sweden)

    Croft Peter R

    2008-09-01

    Full Text Available Abstract Background Studies have suggested that the symptoms of knee osteoarthritis (OA are rather weakly associated with radiographic findings and vice versa. Our objectives were to identify estimates of the prevalence of radiographic knee OA in adults with knee pain and of knee pain in adults with radiographic knee OA, and determine if the definitions of x ray osteoarthritis and symptoms, and variation in demographic factors influence these estimates. Methods A systematic literature search identifying population studies which combined x rays, diagnosis, clinical signs and symptoms in knee OA. Estimates of the prevalence of radiographic OA in people with knee pain were determined and vice versa. In addition the effects of influencing factors were scrutinised. Results The proportion of those with knee pain found to have radiographic osteoarthritis ranged from 15–76%, and in those with radiographic knee OA the proportion with pain ranged from 15% – 81%. Considerable variation occurred with x ray view, pain definition, OA grading and demographic factors Conclusion Knee pain is an imprecise marker of radiographic knee osteoarthritis but this depends on the extent of radiographic views used. Radiographic knee osteoarthritis is likewise an imprecise guide to the likelihood that knee pain or disability will be present. Both associations are affected by the definition of pain used and the nature of the study group. The results of knee x rays should not be used in isolation when assessing individual patients with knee pain.

  12. Search for the lowest irradiation dose from literatures on radiation-induced cancer in uterus

    International Nuclear Information System (INIS)

    Yoshizawa, Yasuo; Kusama, Tomoko

    1975-01-01

    A survey of past case reports on radiation-induced cancer of the uterus was carried out with the main object of finding the lowest irradiation dose. Search of literature published since 1912 revealed 548 cases of radiation-induced cancer of the uterus. All of these cases of radiation-induced cancer had received radiation for the treatment of non-malignant disease. The primary gynecological conditions which were the object of radiation therapy were functional bleeding, endometrial hyperplasia, myoma, endometritis, and polyps. The lowest irradiation dose was estimated at 1000-1450 rad in the case of external X-ray irradiation, and 100 mg.hr for intrauterine radium therapy, which corresponds to 100-1000 rad. It was noted that were more cases of corpus cancer than cervical cancer. Histopathological findings of radiation-induced uterine cancer were carcinoma, sarcoma, and mixed mesodermal tumors. The latent period was distributed in the range of 1 to 40 years, with the average of 10.1 years. (auth.)

  13. Search for the lowest irradiation dose from literatures on radiation-induced cancer in gastrointestinal tract

    International Nuclear Information System (INIS)

    Yoshizawa, Yasuo; Kusama, Tomoko

    1976-01-01

    A survey of past case reports about radiation-induced cancer in the gastrointestinal tract was carried out with the main object of finding the lowest irradiation dose. Search of the literature published since 1923 revealed 80 cases of radiation-induced large intestine cancer and one case of stomach cancer. The cases of radiation-induced cancer in the large intestine had received radiation for the treatment of non-malignant conditions, fibroma, ovarial cyste, myoma, endometritis and duodenal ulcer. The lowest irradiation dose was estimated at 460 rads. Adenocarcinoma was the histopathological finding in all cases of radiation-induced cancer in the caecum, colon and rectum, and squamous cell carcinoma in the cases of anal cancer. The latent period ranged from 1 to 31 years, with the average of 13.6 years. There were some reports of statistical studies of radiation-induced stomach cancer. Three groups were the subjects of these studies. The first group was composed of atomic bomb survivors, the second of patients who had undergone radiation treatment for ankylosing spondilitis, and the third of duodenal ulcer patients subjected to radiation treatment for the purpose of suppressing gastric acid secretion. These statistical studies showed no significant increase of the incidence of stomach cancer in the irradiated groups. (auth.)

  14. An eUtils toolset and its use for creating a pipeline to link genomics and proteomics analyses to domain-specific biomedical literature.

    Science.gov (United States)

    Nadkarni, Prakash M; Parikh, Chirag R

    2012-04-16

    Numerous biomedical software applications access databases maintained by the US National Center for Biotechnology Information (NCBI). To ease software automation, NCBI provides a powerful but complex Web-service-based programming interface, eUtils. This paper describes a toolset that simplifies eUtils use through a graphical front-end that can be used by non-programmers to construct data-extraction pipelines. The front-end relies on a code library that provides high-level wrappers around eUtils functions, and which is distributed as open-source, allowing customization and enhancement by individuals with programming skills. We initially created an application that queried eUtils to retrieve nephrology-specific biomedical literature citations for a user-definable set of genes. We later augmented the application code to create a general-purpose library that accesses eUtils capability as individual functions that could be combined into user-defined pipelines. The toolset's use is illustrated with an application that serves as a front-end to the library and can be used by non-programmers to construct user-defined pipelines. The operation of the library is illustrated for the literature-surveillance application, which serves as a case-study. An overview of the library is also provided. The library simplifies use of the eUtils service by operating at a higher level, and also transparently addresses robustness issues that would need to be individually implemented otherwise, such as error recovery and prevention of overloading of the eUtils service.

  15. Testing search strategies for systematic reviews in the Medline literature database through PubMed.

    Science.gov (United States)

    Volpato, Enilze S N; Betini, Marluci; El Dib, Regina

    2014-04-01

    A high-quality electronic search is essential in ensuring accuracy and completeness in retrieved records for the conducting of a systematic review. We analysed the available sample of search strategies to identify the best method for searching in Medline through PubMed, considering the use or not of parenthesis, double quotation marks, truncation and use of a simple search or search history. In our cross-sectional study of search strategies, we selected and analysed the available searches performed during evidence-based medicine classes and in systematic reviews conducted in the Botucatu Medical School, UNESP, Brazil. We analysed 120 search strategies. With regard to the use of phrase searches with parenthesis, there was no difference between the results with and without parenthesis and simple searches or search history tools in 100% of the sample analysed (P = 1.0). The number of results retrieved by the searches analysed was smaller using double quotations marks and using truncation compared with the standard strategy (P = 0.04 and P = 0.08, respectively). There is no need to use phrase-searching parenthesis to retrieve studies; however, we recommend the use of double quotation marks when an investigator attempts to retrieve articles in which a term appears to be exactly the same as what was proposed in the search form. Furthermore, we do not recommend the use of truncation in search strategies in the Medline via PubMed. Although the results of simple searches or search history tools were the same, we recommend using the latter.

  16. Extensive literature searches soil and growing media inventories : (RC/EFSA/PLH/2013/01-SC1)

    NARCIS (Netherlands)

    Bremmer, J.; Holeva, M.; Breukers, M.L.H.; Brouwer, J.H.D.

    2015-01-01

    In this project two inventories by means of extensive literature searches have been executed: Inventory 1 of all types of soil and growing media (if relevant components thereof) to be elaborated considering (i) the soil and growing medium imported as commodities (i.e. not in association with plants

  17. Muscle Logic: New Knowledge Resource for Anatomy Enables Comprehensive Searches of the Literature on the Feeding Muscles of Mammals.

    Directory of Open Access Journals (Sweden)

    Robert E Druzinsky

    Full Text Available In recent years large bibliographic databases have made much of the published literature of biology available for searches. However, the capabilities of the search engines integrated into these databases for text-based bibliographic searches are limited. To enable searches that deliver the results expected by comparative anatomists, an underlying logical structure known as an ontology is required.Here we present the Mammalian Feeding Muscle Ontology (MFMO, a multi-species ontology focused on anatomical structures that participate in feeding and other oral/pharyngeal behaviors. A unique feature of the MFMO is that a simple, computable, definition of each muscle, which includes its attachments and innervation, is true across mammals. This construction mirrors the logical foundation of comparative anatomy and permits searches using language familiar to biologists. Further, it provides a template for muscles that will be useful in extending any anatomy ontology. The MFMO is developed to support the Feeding Experiments End-User Database Project (FEED, https://feedexp.org/, a publicly-available, online repository for physiological data collected from in vivo studies of feeding (e.g., mastication, biting, swallowing in mammals. Currently the MFMO is integrated into FEED and also into two literature-specific implementations of Textpresso, a text-mining system that facilitates powerful searches of a corpus of scientific publications. We evaluate the MFMO by asking questions that test the ability of the ontology to return appropriate answers (competency questions. We compare the results of queries of the MFMO to results from similar searches in PubMed and Google Scholar.Our tests demonstrate that the MFMO is competent to answer queries formed in the common language of comparative anatomy, but PubMed and Google Scholar are not. Overall, our results show that by incorporating anatomical ontologies into searches, an expanded and anatomically comprehensive

  18. Muscle Logic: New Knowledge Resource for Anatomy Enables Comprehensive Searches of the Literature on the Feeding Muscles of Mammals.

    Science.gov (United States)

    Druzinsky, Robert E; Balhoff, James P; Crompton, Alfred W; Done, James; German, Rebecca Z; Haendel, Melissa A; Herrel, Anthony; Herring, Susan W; Lapp, Hilmar; Mabee, Paula M; Muller, Hans-Michael; Mungall, Christopher J; Sternberg, Paul W; Van Auken, Kimberly; Vinyard, Christopher J; Williams, Susan H; Wall, Christine E

    2016-01-01

    In recent years large bibliographic databases have made much of the published literature of biology available for searches. However, the capabilities of the search engines integrated into these databases for text-based bibliographic searches are limited. To enable searches that deliver the results expected by comparative anatomists, an underlying logical structure known as an ontology is required. Here we present the Mammalian Feeding Muscle Ontology (MFMO), a multi-species ontology focused on anatomical structures that participate in feeding and other oral/pharyngeal behaviors. A unique feature of the MFMO is that a simple, computable, definition of each muscle, which includes its attachments and innervation, is true across mammals. This construction mirrors the logical foundation of comparative anatomy and permits searches using language familiar to biologists. Further, it provides a template for muscles that will be useful in extending any anatomy ontology. The MFMO is developed to support the Feeding Experiments End-User Database Project (FEED, https://feedexp.org/), a publicly-available, online repository for physiological data collected from in vivo studies of feeding (e.g., mastication, biting, swallowing) in mammals. Currently the MFMO is integrated into FEED and also into two literature-specific implementations of Textpresso, a text-mining system that facilitates powerful searches of a corpus of scientific publications. We evaluate the MFMO by asking questions that test the ability of the ontology to return appropriate answers (competency questions). We compare the results of queries of the MFMO to results from similar searches in PubMed and Google Scholar. Our tests demonstrate that the MFMO is competent to answer queries formed in the common language of comparative anatomy, but PubMed and Google Scholar are not. Overall, our results show that by incorporating anatomical ontologies into searches, an expanded and anatomically comprehensive set of results

  19. Support needs of patients with COPD: a systematic literature search and narrative review

    Directory of Open Access Journals (Sweden)

    Gardener AC

    2018-03-01

    Full Text Available A Carole Gardener,1 Gail Ewing,2 Isla Kuhn,3 Morag Farquhar4 1Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; 2Centre for Family Research, University of Cambridge, Cambridge, UK; 3University of Cambridge Medical School Library, University of Cambridge, Cambridge, UK; 4School of Health Sciences, University of East Anglia, Norwich, UK Introduction: Understanding the breadth of patients’ support needs is important for the delivery of person-centered care, particularly in progressive long-term conditions such as chronic obstructive pulmonary disease (COPD. Existing reviews identify important aspects of managing life with COPD with which patients may need support (support needs; however, none of these comprehensively outlines the full range of support needs that patients can experience. We therefore sought to systematically determine the full range of support needs for patients with COPD to inform development of an evidence-based tool to enable person-centered care.Methods: We conducted a systematic search and narrative review of the literature. Medline (Ovid, EMBASE, PsycINFO, Cochrane Library, and CINAHL were systematically searched for papers which included data addressing key aspects of support need, as identified by patients with COPD. Relevant data were extracted, and a narrative analysis was conducted.Results: Thirty-one papers were included in the review, and the following 13 domains (broad areas of support need were identified: 1 understanding COPD, 2 managing symptoms and medication, 3 healthy lifestyle, 4 managing feelings and worries, 5 living positively with COPD, 6 thinking about the future, 7 anxiety and depression, 8 practical support, 9 finance work and housing, 10 families and close relationships, 11 social and recreational life, 12 independence, and 13 navigating services. These 13 domains of support need were mapped to three of the four overarching categories of need

  20. Biomedical and Health Informatics Education - the IMIA Years.

    Science.gov (United States)

    Mantas, J

    2016-08-02

    This paper presents the development of medical informatics education during the years from the establishment of the International Medical Informatics Association (IMIA) until today. A search in the literature was performed using search engines and appropriate keywords as well as a manual selection of papers. The search covered English language papers and was limited to search on papers title and abstract only. The aggregated papers were analyzed on the basis of the subject area, origin, time span, and curriculum development, and conclusions were drawn. From the results, it is evident that IMIA has played a major role in comparing and integrating the Biomedical and Health Informatics educational efforts across the different levels of education and the regional distribution of educators and institutions. A large selection of references is presented facilitating future work on the field of education in biomedical and health informatics.

  1. Biomedical and Health Informatics Education – the IMIA Years

    Science.gov (United States)

    2016-01-01

    Summary Objective This paper presents the development of medical informatics education during the years from the establishment of the International Medical Informatics Association (IMIA) until today. Method A search in the literature was performed using search engines and appropriate keywords as well as a manual selection of papers. The search covered English language papers and was limited to search on papers title and abstract only. Results The aggregated papers were analyzed on the basis of the subject area, origin, time span, and curriculum development, and conclusions were drawn. Conclusions From the results, it is evident that IMIA has played a major role in comparing and integrating the Biomedical and Health Informatics educational efforts across the different levels of education and the regional distribution of educators and institutions. A large selection of references is presented facilitating future work on the field of education in biomedical and health informatics. PMID:27488405

  2. Novel citation-based search method for scientific literature: application to meta-analyses

    NARCIS (Netherlands)

    Janssens, A.C.J.W.; Gwinn, M.

    2015-01-01

    Background: Finding eligible studies for meta-analysis and systematic reviews relies on keyword-based searching as the gold standard, despite its inefficiency. Searching based on direct citations is not sufficiently comprehensive. We propose a novel strategy that ranks articles on their degree of

  3. Expert searching in health librarianship: a literature review to identify international issues and Australian concerns.

    Science.gov (United States)

    Lasserre, Kaye

    2012-03-01

    The traditional role of health librarians as expert searchers is under challenge. The purpose of this review is to establish health librarians' views, practices and educational processes on expert searching. The search strategy was developed in LISTA and then customised for ten other databases: ALISA, PubMed, Embase, Scopus, Web of Science, CINAHL, ERIC, PsycINFO, Cochrane Library and Google Scholar. The search terms were (expert search* OR expert retriev* OR mediated search* OR information retriev*) AND librar*. The searches, completed in December 2010 and repeated in May 2011, were limited to English language publications from 2000 to 2011 (unless seminal works). Expert searching remains a key role for health librarians, especially for those supporting systematic reviews or employed as clinical librarians answering clinical questions. Although clients tend to be satisfied with searches carried out for them, improvements are required to effectively position the profession. Evidence-based guidelines, adherence to transparent standards, review of entry-level education requirements and a commitment to accredited, rigorous, ongoing professional development will ensure best practice. © 2012 The authors. Health Information and Libraries Journal © 2012 Health Libraries Group.

  4. A Comprehensive Analysis of Articles Retracted Between 2004 and 2013 from Biomedical Literature – A Call for Reforms

    Directory of Open Access Journals (Sweden)

    Harkanwal Preet Singh

    2014-07-01

    Full Text Available Science is a dynamic subject and it was never free of misconduct or bad research. Indeed, the scientific method itself is intended to overcome mistakes and misdeeds. So, we aimed to assess various factors associated with retraction of scientific articles from 2004 to 2013. Data were retrieved from PubMed and Medline using the keywords retraction of articles, retraction notice, and withdrawal of article in April 2014 to detect articles retracted from 2004 to 2013. Statistical analysis was carried out using t-test and Karl Pearson's correlation coefficient. Results showed that a total of 2343 articles were retracted between 2004 and 2013, and original articles followed by case reports constituted major part of it. Time interval between submission and retraction of article has reduced in recent times. Impact factor and retraction do not have any significant correlation. We conclude that although retraction of articles is a rare event, its constant rise in scientific literature is quite worrisome. It is still unclear whether misconduct/mistakes in articles are increasing hastily or the articles are retracted at a rapid rate in recent times. So, it should be considered as an urgent issue and it is the responsibility of journal editors to track misconduct by following Committee on Publication Ethics (COPE guidelines and making an effective strategy.

  5. A comprehensive analysis of articles retracted between 2004 and 2013 from biomedical literature - a call for reforms.

    Science.gov (United States)

    Singh, Harkanwal Preet; Mahendra, Ashish; Yadav, Bhupender; Singh, Harpreet; Arora, Nitin; Arora, Monika

    2014-07-01

    Science is a dynamic subject and it was never free of misconduct or bad research. Indeed, the scientific method itself is intended to overcome mistakes and misdeeds. So, we aimed to assess various factors associated with retraction of scientific articles from 2004 to 2013. Data were retrieved from PubMed and Medline using the keywords retraction of articles, retraction notice, and withdrawal of article in April 2014 to detect articles retracted from 2004 to 2013. Statistical analysis was carried out using t-test and Karl Pearson's correlation coefficient. Results showed that a total of 2343 articles were retracted between 2004 and 2013, and original articles followed by case reports constituted major part of it. Time interval between submission and retraction of article has reduced in recent times. Impact factor and retraction do not have any significant correlation. We conclude that although retraction of articles is a rare event, its constant rise in scientific literature is quite worrisome. It is still unclear whether misconduct/mistakes in articles are increasing hastily or the articles are retracted at a rapid rate in recent times. So, it should be considered as an urgent issue and it is the responsibility of journal editors to track misconduct by following Committee on Publication Ethics (COPE) guidelines and making an effective strategy.

  6. A Comprehensive Analysis of Articles Retracted Between 2004 and 2013 from Biomedical Literature – A Call for Reforms

    Science.gov (United States)

    Singh, Harkanwal Preet; Mahendra, Ashish; Yadav, Bhupender; Singh, Harpreet; Arora, Nitin; Arora, Monika

    2014-01-01

    Science is a dynamic subject and it was never free of misconduct or bad research. Indeed, the scientific method itself is intended to overcome mistakes and misdeeds. So, we aimed to assess various factors associated with retraction of scientific articles from 2004 to 2013. Data were retrieved from PubMed and Medline using the keywords retraction of articles, retraction notice, and withdrawal of article in April 2014 to detect articles retracted from 2004 to 2013. Statistical analysis was carried out using t-test and Karl Pearson's correlation coefficient. Results showed that a total of 2343 articles were retracted between 2004 and 2013, and original articles followed by case reports constituted major part of it. Time interval between submission and retraction of article has reduced in recent times. Impact factor and retraction do not have any significant correlation. We conclude that although retraction of articles is a rare event, its constant rise in scientific literature is quite worrisome. It is still unclear whether misconduct/mistakes in articles are increasing hastily or the articles are retracted at a rapid rate in recent times. So, it should be considered as an urgent issue and it is the responsibility of journal editors to track misconduct by following Committee on Publication Ethics (COPE) guidelines and making an effective strategy. PMID:25161916

  7. SEARCH

    International Development Research Centre (IDRC) Digital Library (Canada)

    Chaitali Sinha

    Anexo B: Lista de verificación para presentar una nota conceptual en el marco de IDRC-SEARCH ....... 17 .... incluir investigación primaria y/o síntesis de estudios existentes, para generar nuevo conocimiento. Los .... de datos entre grupos diferentes de usuarios (trabajadores de la salud comunitaria, funcionarios de salud.

  8. Supporting Evidence-Informed Teaching in Biomedical and Health Professions Education Through Knowledge Translation: An Interdisciplinary Literature Review.

    Science.gov (United States)

    Tractenberg, Rochelle E; Gordon, Morris

    2017-01-01

    Phenomenon: The purpose of "systematic" reviews/reviewers of medical and health professions educational research is to identify best practices. This qualitative article explores the question of whether systematic reviews can support "evidence informed" teaching and contrasts traditional systematic reviewing with a knowledge translation (KT) approach to this objective. Degrees of freedom analysis (DOFA) is used to examine the alignment of systematic review methods with educational research and the pedagogical strategies and approaches that might be considered with a decision-making framework developed to support valid assessment. This method is also used to explore how KT can be used to inform teaching and learning. The nature of educational research is not compatible with most (11/14) methods for systematic review. The inconsistency of systematic reviewing with the nature of educational research impedes both the identification and implementation of "best-evidence" pedagogy and teaching. This is primarily because research questions that do support the purposes of review do not support educational decision making. By contrast to systematic reviews of the literature, both a DOFA and KT are fully compatible with informing teaching using evidence. A DOFA supports the translation of theory to a specific teaching or learning case, so could be considered a type of KT. The DOFA results in a test of alignment of decision options with relevant educational theory, and KT leads to interventions in teaching or learning that can be evaluated. Examples of how to structure evaluable interventions are derived from a KT approach that are simply not available from a systematic review. Insights: Systematic reviewing of current empirical educational research is not suitable for deriving or supporting best practices in education. However, both "evidence-informed" and scholarly approaches to teaching can be supported as KT projects, which are inherently evaluable and can generate

  9. Effects of Water in Synthetic Lubricant Systems and Clathrate Formation: A Literature Search and Review

    Energy Technology Data Exchange (ETDEWEB)

    Rohatgi, Ngoc Dung T.

    2001-08-08

    An extensive literature search and a confidential survey were critically analyzed to determine the effects of water on the stability of hydrofluorocarbon/synthetic lubricant systems and to identify key areas requiring further investigation. Following are highlights from the analysis: Clathrate hydrates are solid solutions formed when water molecules are linked through hydrogen bonding creating cavities that can enclose various guest molecules from hydrate formers, such as hydrofluorocarbons R-32, R-125, R-134a, R-407C and R-410A. The four methods for preventing clathrate formation were drying the gas, heating it, reducing its pressure, or using inhibitors. The hydrolysis of polyolester lubricants was mostly acid-catalyzed and its reaction rate constant typically followed the Arrhenius equation of an activated process. Hydrolytic stability improved with hindered molecular structures, and with the presence of acid catcher additives and desiccants. Water vapor can effect the adsorption of long-chain fatty acids and the chemistry of formation of protective oxide film. However, these effects on lubrication can be either positive or negative. Fifty to sixty percent of the moisture injected into an air-conditioning system remained in the refrigerant and the rest mixed with the compressor oil. In an automotive air-conditioning system using R-134a, ice would form at 0 C evaporating temperature when the water content in the vapor refrigerant on the low-pressure side was more than 350 ppm. Moisture would cause the embrittlement of polyethylene terephthalate and the hydrolysis of polyesters, but would reduce the effect of amine additives on fluoroelastomer rubbers. The reactions of water with refrigerants and lubricants would cause formicary and large-pit corrosion in copper tubes, as well as copper plating and sludge formation. Moreover, blockage of capillary tubes increased rapidly in the presence of water. Twenty-four companies responded to the survey. From the responses

  10. [Biomedical informatics].

    Science.gov (United States)

    Capurro, Daniel; Soto, Mauricio; Vivent, Macarena; Lopetegui, Marcelo; Herskovic, Jorge R

    2011-12-01

    Biomedical Informatics is a new discipline that arose from the need to incorporate information technologies to the generation, storage, distribution and analysis of information in the domain of biomedical sciences. This discipline comprises basic biomedical informatics, and public health informatics. The development of the discipline in Chile has been modest and most projects have originated from the interest of individual people or institutions, without a systematic and coordinated national development. Considering the unique features of health care system of our country, research in the area of biomedical informatics is becoming an imperative.

  11. Transportation literature search & synthesis report : research and state DOT practice on construction cost indices.

    Science.gov (United States)

    2012-01-18

    The literature review identifies completed research and other authoritative information in an area of interest. The citations below are representative, rather than exhaustive, of available English-language studies on the topic. Primary online resourc...

  12. Searching for Animal Sentience: A Systematic Review of the Scientific Literature

    OpenAIRE

    Amelia R. Cornish; Helen S. Proctor; Gemma Carder

    2013-01-01

    Simple Summary The emotional lives of animals is often doubted and questioned. Due to the subjective nature of animal emotions, many think that they are out of the reach of scientific measurement. In this systematic review, of over two decades of scientific literature, we found that this was not actually the case. By using a list of keywords, formed of both positive and negative emotions, and terminology relating to animal sentience, we reviewed the scientific literature. We found that the su...

  13. Promoting evidence based medicine in preclinical medical students via a federated literature search tool.

    Science.gov (United States)

    Keim, Samuel Mark; Howse, David; Bracke, Paul; Mendoza, Kathryn

    2008-01-01

    Medical educators are increasingly faced with directives to teach Evidence Based Medicine (EBM) skills. Because of its nature, integrating fundamental EBM educational content is a challenge in the preclinical years. To analyse preclinical medical student user satisfaction and feedback regarding a clinical EBM search strategy. The authors introduced a custom EBM search option with a self-contained education structure to first-year medical students. The implementation took advantage of a major curricular change towards case-based instruction. Medical student views and experiences were studied regarding the tool's convenience, problems and the degree to which they used it to answer questions raised by case-based instruction. Surveys were completed by 70% of the available first-year students. Student satisfaction and experiences were strongly positive towards the EBM strategy, especially of the tool's convenience and utility for answering issues raised during case-based learning sessions. About 90% of the students responded that the tool was easy to use, productive and accessed for half or more of their search needs. This study provides evidence that the integration of an educational EBM search tool can be positively received by preclinical medical students.

  14. Text Mining the Biomedical Literature

    Science.gov (United States)

    2007-11-05

    Han, E.H., and Kumar, V. (1999). Chameleon : A hierarchical clustering algorithm using dynamic modeling. IEEE Computer: Special Issue on Data...mortality OR neural OR learning OR pregnancy OR mutations OR object OR objects OR drug* OR human OR treatment* OR trial* OR patients))) UPDATE FOR...AND COMMUNICATIONS, PROCEEDINGS 1 0.1117% HUMAN MOLECULAR GENETICS 1 0.1117% HUMAN MUTATION 1 0.1117% HUMAN-COMPUTER INTERACTION - INTERACT 2005

  15. Rob, Mary Call, and Me: The Search for Self in Appalachian Literature.

    Science.gov (United States)

    Comer, Melissa

    1999-01-01

    Argues that Appalachian adolescents often have difficulty finding themselves in literature yet need to see their lives represented and validated. Discusses four young adult novels and the cultural and linguistic characteristics in them that realistically portray the lives of Appalachian teens. Lists 11 other young adult Appalachian novels. (SR)

  16. Searching bibliographic databases for literature on chronic disease and work participation

    NARCIS (Netherlands)

    Haafkens, Joke; Moerman, Clara; Schuring, Merel; van Dijk, Frank

    2006-01-01

    BACKGROUND: The work participation of people with chronic diseases is a growing concern within the field of occupational medicine. Information on this topic is dispersed across a variety of data sources, making it difficult for health professionals to find relevant studies for literature reviews and

  17. Searching for a Common Ground--A Literature Review of Empirical Research on Scientific Inquiry Activities

    Science.gov (United States)

    Rönnebeck, Silke; Bernholt, Sascha; Ropohl, Mathias

    2016-01-01

    Despite the importance of scientific inquiry in science education, researchers and educators disagree considerably regarding what features define this instructional approach. While a large body of literature addresses theoretical considerations, numerous empirical studies investigate scientific inquiry on quite different levels of detail and also…

  18. Evidence for treating rheumatoid arthritis to target: results of a systematic literature search update

    NARCIS (Netherlands)

    Stoffer, Michaela A.; Schoels, Monika M.; Smolen, Josef S.; Aletaha, Daniel; Breedveld, Ferdinand C.; Burmester, Gerd; Bykerk, Vivian; Dougados, Maxime; Emery, Paul; Haraoui, Boulos; Gomez-Reino, Juan; Kvien, Tore K.; Nash, Peter; Navarro-Compan, Victoria; Voshaar, Maria Johanna Helène; van Vollenhoven, Ronald; van der Heijde, Desiree; Stamm, Tanja A.

    2015-01-01

    Objective A systematic literature review (SLR; 2009–2014) to compare a target-oriented approach with routine management in the treatment of rheumatoid arthritis (RA) to allow an update of the treat-to-target recommendations. Methods Two SLRs focused on clinical trials employing a treatment approach

  19. Testing of the OMERACT 8 draft validation criteria for a soluble biomarker reflecting structural damage in rheumatoid arthritis: a systematic literature search on 5 candidate biomarkers

    DEFF Research Database (Denmark)

    Syversen, Silje W; Landewe, Robert; van der Heijde, Désirée

    2009-01-01

    OBJECTIVE: To test the OMERACT 8 draft validation criteria for soluble biomarkers by assessing the strength of literature evidence in support of 5 candidate biomarkers. METHODS: A systematic literature search was conducted on the 5 soluble biomarkers RANKL, osteoprotegerin (OPG), matrix metallopr......OBJECTIVE: To test the OMERACT 8 draft validation criteria for soluble biomarkers by assessing the strength of literature evidence in support of 5 candidate biomarkers. METHODS: A systematic literature search was conducted on the 5 soluble biomarkers RANKL, osteoprotegerin (OPG), matrix...

  20. The expression of and search for ethnic identity in contemporary Lithuanian literature

    OpenAIRE

    Jovaišienė, Diana

    2011-01-01

    The article deals with the expression of Lithuanian ethnic identity and changes in that expression in contemporary Lithuanian literature published in Lithuania and abroad after the reestablishment of independence in 1990. The investigation is based on Manuel Castells’s concept of identity as a concept, Anthony Giddens’s model of identity, Philippe Lejeune’s concept of autobiography, Gabriele Rosenthal’s insights relating an individual’s personal experiences with the social context, and George...

  1. Evidence for treating rheumatoid arthritis to target: results of a systematic literature search update

    OpenAIRE

    Stoffer, Michaela A.; Schoels, Monika M.; Smolen, Josef S.; Aletaha, Daniel; Breedveld, Ferdinand C.; Burmester, Gerd; Bykerk, Vivian; Dougados, Maxime; Emery, Paul; Haraoui, Boulos; Gomez-Reino, Juan; Kvien, Tore K.; Nash, Peter; Navarro-Compan, Victoria; Voshaar, Maria Johanna Helène

    2015-01-01

    Objective A systematic literature review (SLR; 2009?2014) to compare a target-oriented approach with routine management in the treatment of rheumatoid arthritis (RA) to allow an update of the treat-to-target recommendations. Methods Two SLRs focused on clinical trials employing a treatment approach targeting a specific clinical outcome were performed. In addition to testing clinical, functional and/or structural changes as endpoints, comorbidities, cardiovascular risk, work productivity and e...

  2. Selecting a database for literature searches in nursing: MEDLINE or CINAHL?

    Science.gov (United States)

    Brazier, H; Begley, C M

    1996-10-01

    This study compares the usefulness of the MEDLINE and CINAHL databases for students on post-registration nursing courses. We searched for nine topics, using title words only. Identical searches of the two databases retrieved 1162 references, of which 88% were in MEDLINE, 33% in CINAHL and 20% in both sources. The relevance of the references was assessed by student reviewers. The positive predictive value of CINAHL (70%) was higher than that of MEDLINE (54%), but MEDLINE produced more than twice as many relevant references as CINAHL. The sensitivity of MEDLINE was 85% (95% CI 82-88%), and that of CINAHL was 41% (95% CI 37-45%). To assess the ease of obtaining the references, we developed an index of accessibility, based on the holdings of a number of Irish and British libraries. Overall, 47% of relevant references were available in the students' own library, and 64% could be obtained within 48 hours. There was no difference between the two databases overall, but when two topics relating specifically to the organization of nursing were excluded, references found in MEDLINE were significantly more accessible. We recommend that MEDLINE should be regarded as the first choice of bibliographic database for any subject other than one related strictly to the organization of nursing.

  3. Applying systematic review search methods to the grey literature: a case study examining guidelines for school-based breakfast programs in Canada.

    Science.gov (United States)

    Godin, Katelyn; Stapleton, Jackie; Kirkpatrick, Sharon I; Hanning, Rhona M; Leatherdale, Scott T

    2015-10-22

    Grey literature is an important source of information for large-scale review syntheses. However, there are many characteristics of grey literature that make it difficult to search systematically. Further, there is no 'gold standard' for rigorous systematic grey literature search methods and few resources on how to conduct this type of search. This paper describes systematic review search methods that were developed and applied to complete a case study systematic review of grey literature that examined guidelines for school-based breakfast programs in Canada. A grey literature search plan was developed to incorporate four different searching strategies: (1) grey literature databases, (2) customized Google search engines, (3) targeted websites, and (4) consultation with contact experts. These complementary strategies were used to minimize the risk of omitting relevant sources. Since abstracts are often unavailable in grey literature documents, items' abstracts, executive summaries, or table of contents (whichever was available) were screened. Screening of publications' full-text followed. Data were extracted on the organization, year published, who they were developed by, intended audience, goal/objectives of document, sources of evidence/resources cited, meals mentioned in the guidelines, and recommendations for program delivery. The search strategies for identifying and screening publications for inclusion in the case study review was found to be manageable, comprehensive, and intuitive when applied in practice. The four search strategies of the grey literature search plan yielded 302 potentially relevant items for screening. Following the screening process, 15 publications that met all eligibility criteria remained and were included in the case study systematic review. The high-level findings of the case study systematic review are briefly described. This article demonstrated a feasible and seemingly robust method for applying systematic search strategies to

  4. Optimal search strategy for clinical trials in the Latin American and Caribbean Health Science Literature Database (LILACS

    Directory of Open Access Journals (Sweden)

    Aldemar Araujo Castro

    Full Text Available OBJECTIVE: To define and disseminate the optimal search strategy for clinical trials in the Latin American and Caribbean Health Science Literature (LILACS. This strategy was elaborated based on the optimal search strategy for MEDLINE recommended by Cochrane Collaboration for the identification of clinical trials in electronic databases. DESIGN: Technical information. SETTING: Clinical Trials and Meta-Analysis Unit, Federal University of São Paulo, in conjunction with the Brazilian Cochrane Center, São Paulo, Brazil. (http://www.epm.br/cochrane. DATA: LILACS/CD-ROM (Latin American and Caribbean Health Science Information Database, 27th edition, January 1997, edited by BIREME (Latin American and Caribbean Health Science Information Center. LILACS Indexes 670 journals in the region, with abstracts in English, Portuguese or Spanish; only 41 overlap in the MEDLINE-EMBASE. Of the 168.902 citations since 1982, 104,016 are in human trials, and 38,261 citations are potentiality clinical trials. Search strategy was elaborated combining headings with text word in three languages, adapting the interface of the LILACS. We will be working by locating clinical trials in LILACS for Cochrane Controlled Trials Database. This effort is being coordinated by the Brazilian Cochrane Center.

  5. Ancient Glass: A Literature Search and its Role in Waste Management

    International Nuclear Information System (INIS)

    Strachan, Denis M.; Pierce, Eric M.

    2010-01-01

    When developing a performance assessment model for the long-term disposal of immobilized low-activity waste (ILAW) glass, it is desirable to determine the durability of glass forms over very long periods of time. However, testing is limited to short time spans, so experiments are performed under conditions that accelerate the key geochemical processes that control weathering. Verification that models currently being used can reliably calculate the long term behavior ILAW glass is a key component of the overall PA strategy. Therefore, Pacific Northwest National Laboratory was contracted by Washington River Protection Solutions, LLC to evaluate alternative strategies that can be used for PA source term model validation. One viable alternative strategy is the use of independent experimental data from archaeological studies of ancient or natural glass contained in the literature. These results represent a potential independent experiment that date back to approximately 3600 years ago or 1600 before the current era (bce) in the case of ancient glass and 106 years or older in the case of natural glass. The results of this literature review suggest that additional experimental data may be needed before the result from archaeological studies can be used as a tool for model validation of glass weathering and more specifically disposal facility performance. This is largely because none of the existing data set contains all of the information required to conduct PA source term calculations. For example, in many cases the sediments surrounding the glass was not collected and analyzed; therefore having the data required to compare computer simulations of concentration flux is not possible. This type of information is important to understanding the element release profile from the glass to the surrounding environment and provides a metric that can be used to calibrate source term models. Although useful, the available literature sources do not contain the required information

  6. Ancient Glass: A Literature Search and its Role in Waste Management

    Energy Technology Data Exchange (ETDEWEB)

    Strachan, Denis M.; Pierce, Eric M.

    2010-07-01

    When developing a performance assessment model for the long-term disposal of immobilized low-activity waste (ILAW) glass, it is desirable to determine the durability of glass forms over very long periods of time. However, testing is limited to short time spans, so experiments are performed under conditions that accelerate the key geochemical processes that control weathering. Verification that models currently being used can reliably calculate the long term behavior ILAW glass is a key component of the overall PA strategy. Therefore, Pacific Northwest National Laboratory was contracted by Washington River Protection Solutions, LLC to evaluate alternative strategies that can be used for PA source term model validation. One viable alternative strategy is the use of independent experimental data from archaeological studies of ancient or natural glass contained in the literature. These results represent a potential independent experiment that date back to approximately 3600 years ago or 1600 before the current era (bce) in the case of ancient glass and 106 years or older in the case of natural glass. The results of this literature review suggest that additional experimental data may be needed before the result from archaeological studies can be used as a tool for model validation of glass weathering and more specifically disposal facility performance. This is largely because none of the existing data set contains all of the information required to conduct PA source term calculations. For example, in many cases the sediments surrounding the glass was not collected and analyzed; therefore having the data required to compare computer simulations of concentration flux is not possible. This type of information is important to understanding the element release profile from the glass to the surrounding environment and provides a metric that can be used to calibrate source term models. Although useful, the available literature sources do not contain the required information

  7. Convolutional Neural Networks for Biomedical Text Classification: Application in Indexing Biomedical Articles.

    Science.gov (United States)

    Rios, Anthony; Kavuluru, Ramakanth

    2015-09-01

    Building high accuracy text classifiers is an important task in biomedicine given the wealth of information hidden in unstructured narratives such as research articles and clinical documents. Due to large feature spaces, traditionally, discriminative approaches such as logistic regression and support vector machines with n-gram and semantic features (e.g., named entities) have been used for text classification where additional performance gains are typically made through feature selection and ensemble approaches. In this paper, we demonstrate that a more direct approach using convolutional neural networks (CNNs) outperforms several traditional approaches in biomedical text classification with the specific use-case of assigning medical subject headings (or MeSH terms) to biomedical articles. Trained annotators at the national library of medicine (NLM) assign on an average 13 codes to each biomedical article, thus semantically indexing scientific literature to support NLM's PubMed search system. Recent evidence suggests that effective automated efforts for MeSH term assignment start with binary classifiers for each term. In this paper, we use CNNs to build binary text classifiers and achieve an absolute improvement of over 3% in macro F-score over a set of selected hard-to-classify MeSH terms when compared with the best prior results on a public dataset. Additional experiments on 50 high frequency terms in the dataset also show improvements with CNNs. Our results indicate the strong potential of CNNs in biomedical text classification tasks.

  8. Epidemiological trends of dengue disease in Mexico (2000-2011: a systematic literature search and analysis.

    Directory of Open Access Journals (Sweden)

    Héctor Gómez Dantés

    Full Text Available This systematic literature review describes the epidemiology of dengue disease in Mexico (2000-2011. The annual number of uncomplicated dengue cases reported increased from 1,714 in 2000 to 15,424 in 2011 (incidence rates of 1.72 and 14.12 per 100,000 population, respectively. Peaks were observed in 2002, 2007, and 2009. Coastal states were most affected by dengue disease. The age distribution pattern showed an increasing number of cases during childhood, a peak at 10-20 years, and a gradual decline during adulthood. All four dengue virus serotypes were detected. Although national surveillance is in place, there are knowledge gaps relating to asymptomatic cases, primary/secondary infections, and seroprevalence rates of infection in all age strata. Under-reporting of the clinical spectrum of the disease is also problematic. Dengue disease remains a serious public health problem in Mexico.

  9. Welding of Attachments in Orthodontics: Technique Recommendations based on a Literature Search

    Directory of Open Access Journals (Sweden)

    Vinod Pattabiraman

    2014-01-01

    Full Text Available Joining of fixed appliance components has several applications in orthodontics. Joining attachments to archwires allows the clinician to transfer the point of force application to a location that is more advantageous from a biomechanical standpoint. Although several methods of joining attachments have been proposed, resistance spot welding and soldering have been the most commonly used procedures. Despite its common use, the literature regarding spot welding has been scarce and the technique improperly applied. The aim of this article is to describe the theory behind the use of electric spot welders and achieving an optimum weld joint. Recommendations have been made for the correct application of the parameters involved in electric resistance spot welding so that a clinically useful weld joint can be obtained.

  10. Epidemiological Trends of Dengue Disease in Mexico (2000–2011): A Systematic Literature Search and Analysis

    Science.gov (United States)

    Dantés, Héctor Gómez; Farfán-Ale, José Arturo; Sarti, Elsa

    2014-01-01

    This systematic literature review describes the epidemiology of dengue disease in Mexico (2000–2011). The annual number of uncomplicated dengue cases reported increased from 1,714 in 2000 to 15,424 in 2011 (incidence rates of 1.72 and 14.12 per 100,000 population, respectively). Peaks were observed in 2002, 2007, and 2009. Coastal states were most affected by dengue disease. The age distribution pattern showed an increasing number of cases during childhood, a peak at 10–20 years, and a gradual decline during adulthood. All four dengue virus serotypes were detected. Although national surveillance is in place, there are knowledge gaps relating to asymptomatic cases, primary/secondary infections, and seroprevalence rates of infection in all age strata. Under-reporting of the clinical spectrum of the disease is also problematic. Dengue disease remains a serious public health problem in Mexico. PMID:25375162

  11. Biomedical photonics handbook biomedical diagnostics

    CERN Document Server

    Vo-Dinh, Tuan

    2014-01-01

    Shaped by Quantum Theory, Technology, and the Genomics RevolutionThe integration of photonics, electronics, biomaterials, and nanotechnology holds great promise for the future of medicine. This topic has recently experienced an explosive growth due to the noninvasive or minimally invasive nature and the cost-effectiveness of photonic modalities in medical diagnostics and therapy. The second edition of the Biomedical Photonics Handbook presents fundamental developments as well as important applications of biomedical photonics of interest to scientists, engineers, manufacturers, teachers, studen

  12. Compliance of systematic reviews in veterinary journals with Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) literature search reporting guidelines.

    Science.gov (United States)

    Toews, Lorraine C

    2017-07-01

    Complete, accurate reporting of systematic reviews facilitates assessment of how well reviews have been conducted. The primary objective of this study was to examine compliance of systematic reviews in veterinary journals with Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines for literature search reporting and to examine the completeness, bias, and reproducibility of the searches in these reviews from what was reported. The second objective was to examine reporting of the credentials and contributions of those involved in the search process. A sample of systematic reviews or meta-analyses published in veterinary journals between 2011 and 2015 was obtained by searching PubMed. Reporting in the full text of each review was checked against certain PRISMA checklist items. Over one-third of reviews (37%) did not search the CAB Abstracts database, and 9% of reviews searched only 1 database. Over two-thirds of reviews (65%) did not report any search for grey literature or stated that they excluded grey literature. The majority of reviews (95%) did not report a reproducible search strategy. Most reviews had significant deficiencies in reporting the search process that raise questions about how these searches were conducted and ultimately cast serious doubts on the validity and reliability of reviews based on a potentially biased and incomplete body of literature. These deficiencies also highlight the need for veterinary journal editors and publishers to be more rigorous in requiring adherence to PRISMA guidelines and to encourage veterinary researchers to include librarians or information specialists on systematic review teams to improve the quality and reporting of searches.

  13. Considering biomedical/CAM treatments

    OpenAIRE

    Cheng, JX; Widjaja, F; Choi, JE; Hendren, RL

    2013-01-01

    Complementary and alternative medicine (CAM) is widely used to treat children with psychiatric disorders. In this review, MedLine was searched for various biomedical/CAM treatments in combination with the key words "children," "adolescents," "psychiatric disorders," and "complementary alternative medicine." The biomedical/CAM treatments most thoroughly researched were omega-3 fatty acids, melatonin, and memantine. Those with the fewest published studies were N-acetylcysteine, vitamin B 12 , a...

  14. Searching the seat of the soul in Ancient Greek and Byzantine medical literature.

    Science.gov (United States)

    Lykouras, Eleftherios; Poulakou-Rebelakou, Effie; Ploumpidis, Demetrios N

    2010-12-01

    The objective of this paper was to examine the ancient and medieval concepts about the seat of the mental functions, as exposed in Greek texts from Antiquity to Byzantine times. The review of the philosophical and medical literature from the original ancient Greek language from the Homeric epics to the Holy Fathers of Christianity, as the problem of the seat of the soul remained without a certain answer through the centuries. Primitive concepts attributed great significance to the soul and dictated cannibal behaviours for the possession and eating of the defeated enemy's heart. Mental functions, such as thinking, feeling and mainly those related to affective manifestations, were attributed to the heart and to some other internal organs (liver, diaphragm) from the times of Greek mythology. Philosophy and empirical medicine had underestimated the brain probably because it is a 'silent' organ, contrary to the palpitating heart, with its obvious participations in the emotional reactions. The role of the brain as the mental organ and the seat of emotions has been gradually recognized. The permanent question of the seat of the soul had been for many centuries a critical dispute and the contribution of Greek philosophical and medical thought was decisive for the contemporary transformation of the whole concept.

  15. FTP-Server for exchange, interpretation, and database-search of ion mobility spectra, literature, preprints and software

    Science.gov (United States)

    Baumbach, J. I.; Vonirmer, A.

    1995-01-01

    To assist current discussion in the field of ion mobility spectrometry, at the Institut fur Spectrochemie und angewandte Spektroskopie, Dortmund, start with 4th of December, 1994 work of an FTP-Server, available for all research groups at univerisities, institutes and research worker in industry. We support the exchange, interpretation, and database-search of ion mobility spectra through data format JCAMP-DS (Joint Committee on Atomic and Molecular Physical Data) as well as literature retrieval, pre-print, notice, and discussion board. We describe in general lines the entrance conditions, local addresses, and main code words. For further details, a monthly news report will be prepared for all common users. Internet email address for subscribing is included in document.

  16. Biomedical nanotechnology.

    Science.gov (United States)

    Hurst, Sarah J

    2011-01-01

    This chapter summarizes the roles of nanomaterials in biomedical applications, focusing on those highlighted in this volume. A brief history of nanoscience and technology and a general introduction to the field are presented. Then, the chemical and physical properties of nanostructures that make them ideal for use in biomedical applications are highlighted. Examples of common applications, including sensing, imaging, and therapeutics, are given. Finally, the challenges associated with translating this field from the research laboratory to the clinic setting, in terms of the larger societal implications, are discussed.

  17. Bruxism and genetics: a review of the literature

    NARCIS (Netherlands)

    Lobbezoo, F.; Visscher, C.M.; Ahlberg, J.; Manfredini, D.

    2014-01-01

    People who suffer from bruxism (teeth-grinding) often ask their dentists whether their condition is hereditary. The purpose of this study is to enable dentists to provide an ‘evidence-based’ answer to this question. The biomedical literature was searched using PubMed, and 32 publications were

  18. Disease Related Knowledge Summarization Based on Deep Graph Search.

    Science.gov (United States)

    Wu, Xiaofang; Yang, Zhihao; Li, ZhiHeng; Lin, Hongfei; Wang, Jian

    2015-01-01

    The volume of published biomedical literature on disease related knowledge is expanding rapidly. Traditional information retrieval (IR) techniques, when applied to large databases such as PubMed, often return large, unmanageable lists of citations that do not fulfill the searcher's information needs. In this paper, we present an approach to automatically construct disease related knowledge summarization from biomedical literature. In this approach, firstly Kullback-Leibler Divergence combined with mutual information metric is used to extract disease salient information. Then deep search based on depth first search (DFS) is applied to find hidden (indirect) relations between biomedical entities. Finally random walk algorithm is exploited to filter out the weak relations. The experimental results show that our approach achieves a precision of 60% and a recall of 61% on salient information extraction for Carcinoma of bladder and outperforms the method of Combo.

  19. Biomedical Engineering

    CERN Document Server

    Suh, Sang C; Tanik, Murat M

    2011-01-01

    Biomedical Engineering: Health Care Systems, Technology and Techniques is an edited volume with contributions from world experts. It provides readers with unique contributions related to current research and future healthcare systems. Practitioners and researchers focused on computer science, bioinformatics, engineering and medicine will find this book a valuable reference.

  20. Biomedical informatics: we are what we publish.

    Science.gov (United States)

    Elkin, P L; Brown, S H; Wright, G

    2013-01-01

    This article is part of a For-Discussion-Section of Methods of Information in Medicine on "Biomedical Informatics: We are what we publish". It is introduced by an editorial and followed by a commentary paper with invited comments. In subsequent issues the discussion may continue through letters to the editor. Informatics experts have attempted to define the field via consensus projects which has led to consensus statements by both AMIA. and by IMIA. We add to the output of this process the results of a study of the Pubmed publications with abstracts from the field of Biomedical Informatics. We took the terms from the AMIA consensus document and the terms from the IMIA definitions of the field of Biomedical Informatics and combined them through human review to create the Health Informatics Ontology. We built a terminology server using the Intelligent Natural Language Processor (iNLP). Then we downloaded the entire set of articles in Medline identified by searching the literature by "Medical Informatics" OR "Bioinformatics". The articles were parsed by the joint AMIA / IMIA terminology and then again using SNOMED CT and for the Bioinformatics they were also parsed using HGNC Ontology. We identified 153,580 articles using "Medical Informatics" and 20,573 articles using "Bioinformatics". This resulted in 168,298 unique articles and an overlap of 5,855 articles. Of these 62,244 articles (37%) had titles and abstracts that contained at least one concept from the Health Informatics Ontology. SNOMED CT indexing showed that the field interacts with most all clinical fields of medicine. Further defining the field by what we publish can add value to the consensus driven processes that have been the mainstay of the efforts to date. Next steps should be to extract terms from the literature that are uncovered and create class hierarchies and relationships for this content. We should also examine the high occurring of MeSH terms as markers to define Biomedical Informatics

  1. Optimizing literature search in systematic reviews - are MEDLINE, EMBASE and CENTRAL enough for identifying effect studies within the area of musculoskeletal disorders?

    Science.gov (United States)

    Aagaard, Thomas; Lund, Hans; Juhl, Carsten

    2016-11-22

    When conducting systematic reviews, it is essential to perform a comprehensive literature search to identify all published studies relevant to the specific research question. The Cochrane Collaborations Methodological Expectations of Cochrane Intervention Reviews (MECIR) guidelines state that searching MEDLINE, EMBASE and CENTRAL should be considered mandatory. The aim of this study was to evaluate the MECIR recommendations to use MEDLINE, EMBASE and CENTRAL combined, and examine the yield of using these to find randomized controlled trials (RCTs) within the area of musculoskeletal disorders. Data sources were systematic reviews published by the Cochrane Musculoskeletal Review Group, including at least five RCTs, reporting a search history, searching MEDLINE, EMBASE, CENTRAL, and adding reference- and hand-searching. Additional databases were deemed eligible if they indexed RCTs, were in English and used in more than three of the systematic reviews. Relative recall was calculated as the number of studies identified by the literature search divided by the number of eligible studies i.e. included studies in the individual systematic reviews. Finally, cumulative median recall was calculated for MEDLINE, EMBASE and CENTRAL combined followed by the databases yielding additional studies. Deemed eligible was twenty-three systematic reviews and the databases included other than MEDLINE, EMBASE and CENTRAL was AMED, CINAHL, HealthSTAR, MANTIS, OT-Seeker, PEDro, PsychINFO, SCOPUS, SportDISCUS and Web of Science. Cumulative median recall for combined searching in MEDLINE, EMBASE and CENTRAL was 88.9% and increased to 90.9% when adding 10 additional databases. Searching MEDLINE, EMBASE and CENTRAL was not sufficient for identifying all effect studies on musculoskeletal disorders, but additional ten databases did only increase the median recall by 2%. It is possible that searching databases is not sufficient to identify all relevant references, and that reviewers must rely upon

  2. Buccals tablets - literature search

    OpenAIRE

    Horáček, Jan

    2007-01-01

    BUCCAL TABLETS Jan Horáček ABSTRACT My diploma thesis was aimed at summarising information about phenomena of bioadhesion in connection with administration of drugs. The work describes anatomy and physiology of oral mucosa and differencies in various parts of oral cavity. It refers about advantages and limits of administrating drugs through the oral mucosa. The part called Bioadhesion / mucoadhesion includes definition, theories, influencing factors and description of methods to determinate b...

  3. Journal of Medical and Biomedical Sciences

    African Journals Online (AJOL)

    Journal of Medical and Biomedical Sciences. Journal Home · ABOUT · Advanced Search · Current Issue · Archives · Journal Home > Vol 3, No 3 (2014) >. Log in or Register to get access to full text downloads.

  4. International Journal of Medicine and Biomedical Research

    African Journals Online (AJOL)

    International Journal of Medicine and Biomedical Research. Journal Home · ABOUT THIS JOURNAL · Advanced Search · Current Issue · Archives · Journal Home > Vol 5, No 3 (2016) >. Log in or Register to get access to full text downloads.

  5. Journal of Medical and Biomedical Sciences

    African Journals Online (AJOL)

    Journal of Medical and Biomedical Sciences. Journal Home · ABOUT THIS JOURNAL · Advanced Search · Current Issue · Archives · Journal Home > Vol 1, No 3 (2012) >. Log in or Register to get access to full text downloads.

  6. The characteristics, implementation and effects of Aboriginal and Torres Strait Islander health promotion tools: a systematic literature search.

    Science.gov (United States)

    McCalman, Janya; Tsey, Komla; Bainbridge, Roxanne; Rowley, Kevin; Percival, Nikki; O'Donoghue, Lynette; Brands, Jenny; Whiteside, Mary; Judd, Jenni

    2014-07-11

    Health promotion by and with Aboriginal and Torres Strait Islander (hereafter Indigenous) Australians is critically important given a wide gap in health parity compared to other Australians. The development and implementation of step-by-step guides, instruments, packages, frameworks or resources has provided a feasible and low-resource strategy for strengthening evidence-informed health promotion practice. Yet there has been little assessment of where and how these tools are implemented or their effectiveness. This paper reviews the characteristics, implementation and effects of Indigenous health promotion tools. Indigenous health promotion tools were identified through a systematic literature search including a prior scoping study, eight databases, references of other reviews and the authors' knowledge (n = 1494). Documents in the peer reviewed and grey literature were included if they described or evaluated tools designed, recommended or used for strengthening Indigenous Australian health promotion. Eligible publications were entered into an Excel spreadsheet and documented tools classified according to their characteristics, implementation and effects. Quality was appraised using the Dictionary for Effective Public Health Practice Project (EPHPP) and Critical Appraisal Skills Program (CASP) tools for quantitative and qualitative studies respectively. The review found that Indigenous health promotion tools were widely available. Of 74 publications that met inclusion criteria, sixty (81%) documented tools developed specifically for the Indigenous Australian population. All tools had been developed in reference to evidence; but only 22/74 (30%) publications specified intended or actual implementation, and only 11/74 (15%) publications evaluated impacts of the implemented tools. Impacts included health, environmental, community, organisational and health care improvements. The quality of impact evaluations was strong for only five (7%) studies. The small number and

  7. The ADS Abstract Service: A Free Search System for Literature in Astronomy, Planetary Sciences, Physics, Geophysics, and Instrumentation.

    Science.gov (United States)

    Eichhorn, G.; Accomazzi, A.; Grant, C. S.; Kurtz, M. J.; Rey Bacaicoa, V.; Murray, S. S.

    2002-05-01

    The Astrophysics Data System (ADS) provides access to the astronomical literature through the World Wide Web. It is a NASA funded project and access to all the ADS services is free to everybody world-wide. The ADS Abstract Service allows searching of four databases with abstracts in Astronomy, Instrumentation, Physics/Geophysics, and the astro-ph Preprints with a total of almost 2.5 million references in the databases. The system also provides access to reference and citation information, links to on-line data and other on-line information, and to on-line electronic journals. In addition the ADS has 1.9 million scanned article pages from about 250,000 articles, dating back as far as 1829. The ADS Article Service contains the full articles for most of the astronomical literature back to volume 1. It contains the scanned pages of all the major journals in Astronomy (Astrophysical Journal, Astronomical Journal, Astronomy & Astrophysics, Monthly Notices of the Royal Astronomical Society, and Solar Physics), as well as most smaller journals back to volume 1 for each of these journals. One important aspect of the ADS is the system of links to other data systems. We have currently more than 6 million links to other on-line resources, including on-line data and on-line journal articles. There are currently more than 10,000 regular users (more than 10 queries/month). The total number of users is greater than 50,000 per month. They issue almost 1 million queries per month and receive more than 30 million records and 1.2 million scanned article pages per month. The ADS is accessed from almost 100 countries. Approximately 1/3 of the use is from the USA, 1/3 from Europe, and 1/3 from the rest of the world. Usage depends primarily on the number of astronomers in each country, but also on the Gross Domestic Product of that country. In order to improve access from different parts of the world, we maintain 9 mirror sites of the ADS in Brazil, Chile, China, England, France, Germany

  8. Home ultraviolet B phototherapy for psoriasis : discrepancy between literature, guidelines, general opinions and actual use. Results of a literature review, a web search, and a questionnaire among dermatologists

    NARCIS (Netherlands)

    Koek, M.B.G.; Buskens, E.; Bruijnzeel-Koomen, C.A.F.M.; Sigurdsson, V.

    2006-01-01

    Background Home ultraviolet B (UVB) phototherapy is a debated treatment. It is currently being prescribed for patients with psoriasis, although literature on the subject is scarce. Despite the apparent contradiction between clinical practice and literature, no systematic study of either has been

  9. An Undergraduate Two-Course Sequence in Biomedical Engineering Design: A Simulation of an Industrial Environment with Group and Individual Project Participation.

    Science.gov (United States)

    Jendrucko, Richard J.

    The first half of a Biomedical Engineering course at Texas A&M University is devoted to group projects that require design planning and a search of the literature. The second half requires each student to individually prepare a research proposal and conduct a research project. (MLH)

  10. Medical and biomedical research productivity from Palestine, 2002 – 2011

    Directory of Open Access Journals (Sweden)

    Sweileh Waleed M

    2013-02-01

    Full Text Available Abstract Background Medical research productivity reflects the level of medical education and practice in a particular country. The objective of this study was to examine the quantity and quality of medical and biomedical research published from Palestine. Findings Comprehensive review of the literature indexed by Scopus was conducted. Data from Jan 01, 2002 till December 31, 2011 was searched for authors affiliated with Palestine or Palestinian authority. Results were refined to limit the search to medical and biomedical subjects. The quality of publication was assessed using Journal Citation Report. The total number of publications was 2207. A total of 770 publications were in the medical and biomedical subject areas. The annual rate of publication was 0.077 articles per gross domestic product/capita. The 770 publications have an h-index of 32. One hundred and thirty eight (18% articles were published in 46 journals that were not indexed in the web of knowledge. Twenty two (22/770; 2.9% articles were published in journals with an IF > 10. Conclusions The quantity and quality of research originating from Palestinian institutions is promising given the scarce resources of Palestine. However, more effort is needed to bridge the gap in medical research productivity and to promote better health in Palestine.

  11. Assessing the performance of methodological search filters to improve the efficiency of evidence information retrieval: five literature reviews and a qualitative study.

    Science.gov (United States)

    Lefebvre, Carol; Glanville, Julie; Beale, Sophie; Boachie, Charles; Duffy, Steven; Fraser, Cynthia; Harbour, Jenny; McCool, Rachael; Smith, Lynne

    2017-11-01

    Effective study identification is essential for conducting health research, developing clinical guidance and health policy and supporting health-care decision-making. Methodological search filters (combinations of search terms to capture a specific study design) can assist in searching to achieve this. This project investigated the methods used to assess the performance of methodological search filters, the information that searchers require when choosing search filters and how that information could be better provided. Five literature reviews were undertaken in 2010/11: search filter development and testing; comparison of search filters; decision-making in choosing search filters; diagnostic test accuracy (DTA) study methods; and decision-making in choosing diagnostic tests. We conducted interviews and a questionnaire with experienced searchers to learn what information assists in the choice of search filters and how filters are used. These investigations informed the development of various approaches to gathering and reporting search filter performance data. We acknowledge that there has been a regrettable delay between carrying out the project, including the searches, and the publication of this report, because of serious illness of the principal investigator. The development of filters most frequently involved using a reference standard derived from hand-searching journals. Most filters were validated internally only. Reporting of methods was generally poor. Sensitivity, precision and specificity were the most commonly reported performance measures and were presented in tables. Aspects of DTA study methods are applicable to search filters, particularly in the development of the reference standard. There is limited evidence on how clinicians choose between diagnostic tests. No published literature was found on how searchers select filters. Interviewing and questioning searchers via a questionnaire found that filters were not appropriate for all tasks but were

  12. Measuring children’s distress during burns dressing changes: literature search for measures appropriate for indigenous children in South Africa

    Directory of Open Access Journals (Sweden)

    Louw QA

    2011-09-01

    Full Text Available Quinette Louw1,2, Karen Grimmer-Somers2, Angie Schrikk31Department of Physiotherapy, Stellenbosch University, Cape Town, South Africa; 2International Centre for Allied Health Evidence, University of South Australia, Adelaide, South Australia, Australia; 3Red Cross Children’s Hospital, Cape Town, South AfricaBackground: Virtual reality is consistently reported as effective in reducing pain and anxiety in children during burns dressing changes in recent Western studies. Pain scales are a commonly reported outcome measure. Virtual reality is persuasive for all children in distress during medical procedures, because it is a nonaddictive, novel, and inexpensive form of distraction which can be applied repeatedly with good effect. We intend to use virtual reality in South Africa for the many children hospitalized with severe burns from mechanisms rarely seen in the Western world (paraffin/kerosene stoves exploding, electrical fires, shack/township fires, boiling liquid spills. Many severely burnt children are indigenous South Africans who did not speak English, and whose illiteracy levels, cultures, family dynamics, and experiences of pain potentially invalidate the use of conventional pain scales as outcome measures. The purpose of this study was to identify objective measures with sound psychometric properties and strong clinical utility, to assess distress during burns dressing changes in hospitalized indigenous South African children. Choice of measures was constrained by the burns dressing change environment, the ethics of doing no harm whilst measuring distress in vulnerable children, and of capturing valid measures of distress over the entire burns dressing change procedure.Methods: We conducted two targeted systematic reviews of the literature. All major library databases were searched, and measures with strong psychometric properties and sound clinical utility were sought.Results: Seven potentially useful measures were identified, ie

  13. Text mining patents for biomedical knowledge.

    Science.gov (United States)

    Rodriguez-Esteban, Raul; Bundschus, Markus

    2016-06-01

    Biomedical text mining of scientific knowledge bases, such as Medline, has received much attention in recent years. Given that text mining is able to automatically extract biomedical facts that revolve around entities such as genes, proteins, and drugs, from unstructured text sources, it is seen as a major enabler to foster biomedical research and drug discovery. In contrast to the biomedical literature, research into the mining of biomedical patents has not reached the same level of maturity. Here, we review existing work and highlight the associated technical challenges that emerge from automatically extracting facts from patents. We conclude by outlining potential future directions in this domain that could help drive biomedical research and drug discovery. Copyright © 2016 Elsevier Ltd. All rights reserved.

  14. What methods do reviews of normative ethics literature use for search, selection, analysis, and synthesis? In-depth results from a systematic review of reviews.

    Science.gov (United States)

    Mertz, Marcel; Strech, Daniel; Kahrass, Hannes

    2017-12-19

    (Semi-)systematic approaches to finding, analysing, and synthesising ethics literature on medical topics are still in their infancy. However, our recent systematic review showed that the rate of publication of such (semi-)systematic reviews has increased in the last two decades. This is not only true for reviews of empirical ethics literature, but also for reviews of normative ethics literature. In the latter case, there is currently little in the way of standards and guidance available. Therefore, the methods and reporting strategies of such reviews vary greatly. The purpose of the follow-up study we present was to obtain deeper methodological insight into the ways reviews of normative literature are actually conducted and to analyse the methods used. Our search in the PubMed, PhilPapers, and Google Scholar databases led to the identification of 183 reviews of ethics literature published between 1997 and 2015, of which 84 were identified as reviews of normative and mixed literature. Qualitative content analysis was used to extract and synthesise descriptions of search, selection, quality appraisal, analysis, and synthesis methods. We further assessed quantitatively how often certain methods (e.g. search strategies, data analysis procedures) were used by the reviews. The overall reporting quality varies among the analysed reviews and was generally poor even for major criteria regarding the search and selection of literature. For example, only 24 (29%) used a PRISMA flowchart. Also, only 55 (66%) reviews mentioned the information unit they sought to extract, and 12 (14%) stated an ethical approach as the theoretical basis for the analysis. Interpretable information on the synthesis method was given by 47 (60%); the most common methods applied were qualitative methods commonly used in social science research (83%). Reviews which fail to provide sufficient relevant information to readers have reduced methodological transparency regardless of actual methodological

  15. Effective use of latent semantic indexing and computational linguistics in biological and biomedical applications.

    Science.gov (United States)

    Chen, Hongyu; Martin, Bronwen; Daimon, Caitlin M; Maudsley, Stuart

    2013-01-01

    Text mining is rapidly becoming an essential technique for the annotation and analysis of large biological data sets. Biomedical literature currently increases at a rate of several thousand papers per week, making automated information retrieval methods the only feasible method of managing this expanding corpus. With the increasing prevalence of open-access journals and constant growth of publicly-available repositories of biomedical literature, literature mining has become much more effective with respect to the extraction of biomedically-relevant data. In recent years, text mining of popular databases such as MEDLINE has evolved from basic term-searches to more sophisticated natural language processing techniques, indexing and retrieval methods, structural analysis and integration of literature with associated metadata. In this review, we will focus on Latent Semantic Indexing (LSI), a computational linguistics technique increasingly used for a variety of biological purposes. It is noted for its ability to consistently outperform benchmark Boolean text searches and co-occurrence models at information retrieval and its power to extract indirect relationships within a data set. LSI has been used successfully to formulate new hypotheses, generate novel connections from existing data, and validate empirical data.

  16. Effective use of Latent Semantic Indexing and Computational Linguistics in Biological and Biomedical Applications

    Directory of Open Access Journals (Sweden)

    Hongyu eChen

    2013-01-01

    Full Text Available Text mining is rapidly becoming an essential technique for the annotation and analysis of large biological data sets. Biomedical literature currently increases at a rate of several thousand papers per week, making automated information retrieval methods the only feasible method of managing this expanding corpus. With the increasing prevalence of open-access journals and constant growth of publicly-available repositories of biomedical literature, literature mining has become much more effective with respect to the extraction of biomedically-relevant data. In recent years, text mining of popular databases such as MEDLINE has evolved from basic term-searches to more sophisticated natural language processing techniques, indexing and retrieval methods, structural analysis and integration of literature with associated metadata. In this review, we will focus on Latent Semantic Indexing (LSI, a computational linguistics technique increasingly used for a variety of biological purposes. It is noted for its ability to consistently outperform benchmark Boolean text searches and co-occurrence models at information retrieval and its power to extract indirect relationships within a data set. LSI has been used successfully to formulate new hypotheses, generate novel connections from existing data, and validate empirical data.

  17. [Metrology research on biomedical engineering publications from China in recent years].

    Science.gov (United States)

    Yu, Lu; Su, Juan; Wang, Ying; Sha, Xianzheng

    2014-12-01

    The present paper is to evaluate the scientific research level and development trends of biomedical engineering in China using metrology analysis on Chinese biomedical engineering scientific literatures. Pubmed is used to search the biomedical engineering publications in recent 5 years which are indexed by Science Citation Index, and the number and cited times of these publications and the impact factor of the journals are analyzed. The results show that comparing with the world, although the number of the publication in China has increased in recent 5 years, there is still much room for improvement. Among Chinese mainland, Hongkong and Taiwan, Chinese mainland maintains the obvious advantage in this subject, but Hongkong has the highest average cited number. Shanghai and Beijing have better research ability than other areas in Chinese mainland.

  18. Causal Inferences from Mining ToxCast Data and the Biomedical Literature for Molecular Pathways and Cellular Processes in Cleft Palate (SOT)

    Science.gov (United States)

    Sixty-five chemicals in the ToxCast high-throughput screening (HTS) dataset have been linked to cleft palate based on data from ToxRefDB (rat or rabbit prenatal developmental toxicity studies) or from literature reports. These compounds are structurally diverse and thus likely to...

  19. A scoping review of competencies for scientific editors of biomedical journals.

    Science.gov (United States)

    Galipeau, James; Barbour, Virginia; Baskin, Patricia; Bell-Syer, Sally; Cobey, Kelly; Cumpston, Miranda; Deeks, Jon; Garner, Paul; MacLehose, Harriet; Shamseer, Larissa; Straus, Sharon; Tugwell, Peter; Wager, Elizabeth; Winker, Margaret; Moher, David

    2016-02-02

    Biomedical journals are the main route for disseminating the results of health-related research. Despite this, their editors operate largely without formal training or certification. To our knowledge, no body of literature systematically identifying core competencies for scientific editors of biomedical journals exists. Therefore, we aimed to conduct a scoping review to determine what is known on the competency requirements for scientific editors of biomedical journals. We searched the MEDLINE®, Cochrane Library, Embase®, CINAHL, PsycINFO, and ERIC databases (from inception to November 2014) and conducted a grey literature search for research and non-research articles with competency-related statements (i.e. competencies, knowledge, skills, behaviors, and tasks) pertaining to the role of scientific editors of peer-reviewed health-related journals. We also conducted an environmental scan, searched the results of a previous environmental scan, and searched the websites of existing networks, major biomedical journal publishers, and organizations that offer resources for editors. A total of 225 full-text publications were included, 25 of which were research articles. We extracted a total of 1,566 statements possibly related to core competencies for scientific editors of biomedical journals from these publications. We then collated overlapping or duplicate statements which produced a list of 203 unique statements. Finally, we grouped these statements into seven emergent themes: (1) dealing with authors, (2) dealing with peer reviewers, (3) journal publishing, (4) journal promotion, (5) editing, (6) ethics and integrity, and (7) qualities and characteristics of editors. To our knowledge, this scoping review is the first attempt to systematically identify possible competencies of editors. Limitations are that (1) we may not have captured all aspects of a biomedical editor's work in our searches, (2) removing redundant and overlapping items may have led to the

  20. Biomedical engineering and nanotechnology

    International Nuclear Information System (INIS)

    Pawar, S.H.; Khyalappa, R.J.; Yakhmi, J.V.

    2009-01-01

    This book is predominantly a compilation of papers presented in the conference which is focused on the development in biomedical materials, biomedical devises and instrumentation, biomedical effects of electromagnetic radiation, electrotherapy, radiotherapy, biosensors, biotechnology, bioengineering, tissue engineering, clinical engineering and surgical planning, medical imaging, hospital system management, biomedical education, biomedical industry and society, bioinformatics, structured nanomaterial for biomedical application, nano-composites, nano-medicine, synthesis of nanomaterial, nano science and technology development. The papers presented herein contain the scientific substance to suffice the academic directivity of the researchers from the field of biomedicine, biomedical engineering, material science and nanotechnology. Papers relevant to INIS are indexed separately

  1. The Prime Causes of Literature Search Failures Bilgi Taramalarında Temel Başarısızlık Nedenleri

    Directory of Open Access Journals (Sweden)

    Nazlı Alkan

    1995-06-01

    Full Text Available The main causes of literature search failures can be examined in two broad categories. The first category of causes is under the control of the information units which provide literature search services. Inadequate searcher quality, knowledge and skills are among the most significant causes within this category. The second category of causes is beyond the control of information units and therefore defined as "database failures". Basically, the poor quality of indexing and the index language used are the main reasons for literature search failures within the second category. This study examines the causes of search failures under broad categories and discusses each in detail. It briefly describes the relationship between search failures and the "precision" and "recall" ratios. It also offers some possible solutions which may help decrease the number of search failures and thus obtain the best possible search results. Bilgi taramalarının temel başarısızlık nedenlerini iki gruba ayırmak mümkündür. İlki, tarama hizmeti sunan bilgi birimlerinin denetimi altında olan başarısızlık nedenleridir. Bu tür nedenlerin başında, tarama uzmanının hizmeti sunmadaki bilgi ve beceri eksikliği gelir. İkinci tür nedenler ise, hizmeti sunan bilgi birimlerinin denetimi dışında yer alır ve "veri tabanı başarısızlıkları" olarak nitelendirilir. Bu başarısızlıklar genelde dizinleme işlemi ve dizin dilindeki yetersizliklerden kaynaklanır. Bu makalede başarısızlık nedenleri gruplandırılarak ayrıntılı olarak tartışılmış, çoğu kez Kİ ve Eİ oranları ile ilişkilendirilmiş, tarama uzmanları için ip uçları sunularak, bu nedenleri ortadan kaldırmanın ve mümkün olan en güvenilir tarama hizmeti vermenin yolları gösterilmiştir. Ülkemizin çeşitli bilgi birimlerinde tarama hizmeti sunan kütüphaneciler hedeflenerek sunulan görüşle sonuca varılmıştır.

  2. BredeQuery: Coordinate-Based Meta-analytic Search of Neuroscientific Literature from the SPM Environment

    DEFF Research Database (Denmark)

    Wilkowski, Bartlomiej; Szewczyk, Marcin Marek; Rasmussen, Peter Mondrup

    2010-01-01

    Query offers a direct link from SPM to the Brede Database coordinate-based search engine. BredeQuery is able to ‘grab’ brain location coordinates from the SPM windows and enter them as a query for the Brede Database. Moreover, results of the query can be displayed in a MATLAB window and/or exported directly...... of the databases offer so-called coordinate-based searching to the users (e.g. Brede, BrainMap). For such search, the publications, which relate to the brain locations represented by the user coordinates, are retrieved. We present BredeQuery – a plugin for the widely used SPM data analytic pipeline. Brede...

  3. Biomedical applications of nanotechnology.

    Science.gov (United States)

    Ramos, Ana P; Cruz, Marcos A E; Tovani, Camila B; Ciancaglini, Pietro

    2017-04-01

    The ability to investigate substances at the molecular level has boosted the search for materials with outstanding properties for use in medicine. The application of these novel materials has generated the new research field of nanobiotechnology, which plays a central role in disease diagnosis, drug design and delivery, and implants. In this review, we provide an overview of the use of metallic and metal oxide nanoparticles, carbon-nanotubes, liposomes, and nanopatterned flat surfaces for specific biomedical applications. The chemical and physical properties of the surface of these materials allow their use in diagnosis, biosensing and bioimaging devices, drug delivery systems, and bone substitute implants. The toxicology of these particles is also discussed in the light of a new field referred to as nanotoxicology that studies the surface effects emerging from nanostructured materials.

  4. The BioLexicon: a large-scale terminological resource for biomedical text mining

    Directory of Open Access Journals (Sweden)

    Thompson Paul

    2011-10-01

    Full Text Available Abstract Background Due to the rapidly expanding body of biomedical literature, biologists require increasingly sophisticated and efficient systems to help them to search for relevant information. Such systems should account for the multiple written variants used to represent biomedical concepts, and allow the user to search for specific pieces of knowledge (or events involving these concepts, e.g., protein-protein interactions. Such functionality requires access to detailed information about words used in the biomedical literature. Existing databases and ontologies often have a specific focus and are oriented towards human use. Consequently, biological knowledge is dispersed amongst many resources, which often do not attempt to account for the large and frequently changing set of variants that appear in the literature. Additionally, such resources typically do not provide information about how terms relate to each other in texts to describe events. Results This article provides an overview of the design, construction and evaluation of a large-scale lexical and conceptual resource for the biomedical domain, the BioLexicon. The resource can be exploited by text mining tools at several levels, e.g., part-of-speech tagging, recognition of biomedical entities, and the extraction of events in which they are involved. As such, the BioLexicon must account for real usage of words in biomedical texts. In particular, the BioLexicon gathers together different types of terms from several existing data resources into a single, unified repository, and augments them with new term variants automatically extracted from biomedical literature. Extraction of events is facilitated through the inclusion of biologically pertinent verbs (around which events are typically organized together with information about typical patterns of grammatical and semantic behaviour, which are acquired from domain-specific texts. In order to foster interoperability, the BioLexicon is

  5. The BioLexicon: a large-scale terminological resource for biomedical text mining

    Science.gov (United States)

    2011-01-01

    Background Due to the rapidly expanding body of biomedical literature, biologists require increasingly sophisticated and efficient systems to help them to search for relevant information. Such systems should account for the multiple written variants used to represent biomedical concepts, and allow the user to search for specific pieces of knowledge (or events) involving these concepts, e.g., protein-protein interactions. Such functionality requires access to detailed information about words used in the biomedical literature. Existing databases and ontologies often have a specific focus and are oriented towards human use. Consequently, biological knowledge is dispersed amongst many resources, which often do not attempt to account for the large and frequently changing set of variants that appear in the literature. Additionally, such resources typically do not provide information about how terms relate to each other in texts to describe events. Results This article provides an overview of the design, construction and evaluation of a large-scale lexical and conceptual resource for the biomedical domain, the BioLexicon. The resource can be exploited by text mining tools at several levels, e.g., part-of-speech tagging, recognition of biomedical entities, and the extraction of events in which they are involved. As such, the BioLexicon must account for real usage of words in biomedical texts. In particular, the BioLexicon gathers together different types of terms from several existing data resources into a single, unified repository, and augments them with new term variants automatically extracted from biomedical literature. Extraction of events is facilitated through the inclusion of biologically pertinent verbs (around which events are typically organized) together with information about typical patterns of grammatical and semantic behaviour, which are acquired from domain-specific texts. In order to foster interoperability, the BioLexicon is modelled using the Lexical

  6. Open Biomedical Ontology-based Medline exploration

    Science.gov (United States)

    Xuan, Weijian; Dai, Manhong; Mirel, Barbara; Song, Jean; Athey, Brian; Watson, Stanley J; Meng, Fan

    2009-01-01

    Background Effective Medline database exploration is critical for the understanding of high throughput experimental results and the development of novel hypotheses about the mechanisms underlying the targeted biological processes. While existing solutions enhance Medline exploration through different approaches such as document clustering, network presentations of underlying conceptual relationships and the mapping of search results to MeSH and Gene Ontology trees, we believe the use of multiple ontologies from the Open Biomedical Ontology can greatly help researchers to explore literature from different perspectives as well as to quickly locate the most relevant Medline records for further investigation. Results We developed an ontology-based interactive Medline exploration solution called PubOnto to enable the interactive exploration and filtering of search results through the use of multiple ontologies from the OBO foundry. The PubOnto program is a rich internet application based on the FLEX platform. It contains a number of interactive tools, visualization capabilities, an open service architecture, and a customizable user interface. It is freely accessible at: . PMID:19426463

  7. Passage-Based Bibliographic Coupling: An Inter-Article Similarity Measure for Biomedical Articles

    Science.gov (United States)

    Liu, Rey-Long

    2015-01-01

    Biomedical literature is an essential source of biomedical evidence. To translate the evidence for biomedicine study, researchers often need to carefully read multiple articles about specific biomedical issues. These articles thus need to be highly related to each other. They should share similar core contents, including research goals, methods, and findings. However, given an article r, it is challenging for search engines to retrieve highly related articles for r. In this paper, we present a technique PBC (Passage-based Bibliographic Coupling) that estimates inter-article similarity by seamlessly integrating bibliographic coupling with the information collected from context passages around important out-link citations (references) in each article. Empirical evaluation shows that PBC can significantly improve the retrieval of those articles that biomedical experts believe to be highly related to specific articles about gene-disease associations. PBC can thus be used to improve search engines in retrieving the highly related articles for any given article r, even when r is cited by very few (or even no) articles. The contribution is essential for those researchers and text mining systems that aim at cross-validating the evidence about specific gene-disease associations. PMID:26440794

  8. Passage-Based Bibliographic Coupling: An Inter-Article Similarity Measure for Biomedical Articles.

    Directory of Open Access Journals (Sweden)

    Rey-Long Liu

    Full Text Available Biomedical literature is an essential source of biomedical evidence. To translate the evidence for biomedicine study, researchers often need to carefully read multiple articles about specific biomedical issues. These articles thus need to be highly related to each other. They should share similar core contents, including research goals, methods, and findings. However, given an article r, it is challenging for search engines to retrieve highly related articles for r. In this paper, we present a technique PBC (Passage-based Bibliographic Coupling that estimates inter-article similarity by seamlessly integrating bibliographic coupling with the information collected from context passages around important out-link citations (references in each article. Empirical evaluation shows that PBC can significantly improve the retrieval of those articles that biomedical experts believe to be highly related to specific articles about gene-disease associations. PBC can thus be used to improve search engines in retrieving the highly related articles for any given article r, even when r is cited by very few (or even no articles. The contribution is essential for those researchers and text mining systems that aim at cross-validating the evidence about specific gene-disease associations.

  9. Tackling the challenges of matching biomedical ontologies.

    Science.gov (United States)

    Faria, Daniel; Pesquita, Catia; Mott, Isabela; Martins, Catarina; Couto, Francisco M; Cruz, Isabel F

    2018-01-15

    Biomedical ontologies pose several challenges to ontology matching due both to the complexity of the biomedical domain and to the characteristics of the ontologies themselves. The biomedical tracks in the Ontology Matching Evaluation Initiative (OAEI) have spurred the development of matching systems able to tackle these challenges, and benchmarked their general performance. In this study, we dissect the strategies employed by matching systems to tackle the challenges of matching biomedical ontologies and gauge the impact of the challenges themselves on matching performance, using the AgreementMakerLight (AML) system as the platform for this study. We demonstrate that the linear complexity of the hash-based searching strategy implemented by most state-of-the-art ontology matching systems is essential for matching large biomedical ontologies efficiently. We show that accounting for all lexical annotations (e.g., labels and synonyms) in biomedical ontologies leads to a substantial improvement in F-measure over using only the primary name, and that accounting for the reliability of different types of annotations generally also leads to a marked improvement. Finally, we show that cross-references are a reliable source of information and that, when using biomedical ontologies as background knowledge, it is generally more reliable to use them as mediators than to perform lexical expansion. We anticipate that translating traditional matching algorithms to the hash-based searching paradigm will be a critical direction for the future development of the field. Improving the evaluation carried out in the biomedical tracks of the OAEI will also be important, as without proper reference alignments there is only so much that can be ascertained about matching systems or strategies. Nevertheless, it is clear that, to tackle the various challenges posed by biomedical ontologies, ontology matching systems must be able to efficiently combine multiple strategies into a mature matching

  10. Current status on behavioral and biological markers of PTSD: a search for clarity in a conflicting literature.

    Science.gov (United States)

    Zoladz, Phillip R; Diamond, David M

    2013-06-01

    Extensive research has identified stereotypic behavioral and biological abnormalities in post-traumatic stress disorder (PTSD), such as heightened autonomic activity, an exaggerated startle response, reduced basal cortisol levels and cognitive impairments. We have reviewed primary research in this area, noting that factors involved in the susceptibility and expression of PTSD symptoms are more complex and heterogeneous than is commonly stated, with extensive findings which are inconsistent with the stereotypic behavioral and biological profile of the PTSD patient. A thorough assessment of the literature indicates that interactions among myriad susceptibility factors, including social support, early life stress, sex, age, peri- and post-traumatic dissociation, cognitive appraisal of trauma, neuroendocrine abnormalities and gene polymorphisms, in conjunction with the inconsistent expression of the disorder across studies, confounds attempts to characterize PTSD as a monolithic disorder. Overall, our assessment of the literature addresses the great challenge in developing a behavioral and biomarker-based diagnosis of PTSD. Published by Elsevier Ltd.

  11. Carbon dioxide for the recovery of crude oil: a literature search to June 30, 1979. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Doscher, T.

    1980-05-01

    Individual summaries and pertinent commentaries on each of the groups of references into which the literature on carbon dioxide for the recovery of crude oil has been classified are presented in this report. The major classifications are: physical models, laboratory studies, field tests, modelling, patents, and miscellaneous. A special summary that reviews and comments on field operations, fluid handling, and corrosion problems is also included. User's guide and subject categories for the CO/sub 2/ literature survey are given, followed by abstracts of the citations. It is concluded from this survey that the most significant deficiency in research on carbon dioxide flooding for the recovery of crude oil is the paucity of well controlled and interpreted field tests.

  12. Guidelines for Biomarker of Food Intake Reviews (BFIRev): how to conduct an extensive literature search for biomarker of food intake discovery.

    Science.gov (United States)

    Praticò, Giulia; Gao, Qian; Scalbert, Augustin; Vergères, Guy; Kolehmainen, Marjukka; Manach, Claudine; Brennan, Lorraine; Pedapati, Sri Harsha; Afman, Lydia A; Wishart, David S; Vázquez-Fresno, Rosa; Lacueva, Cristina Andres; Garcia-Aloy, Mar; Verhagen, Hans; Feskens, Edith J M; Dragsted, Lars O

    2018-01-01

    Identification of new biomarkers of food and nutrient intake has developed fast over the past two decades and could potentially provide important new tools for compliance monitoring and dietary intake assessment in nutrition and health science. In recent years, metabolomics has played an important role in identifying a large number of putative biomarkers of food intake (BFIs). However, the large body of scientific literature on potential BFIs outside the metabolomics area should also be taken into account. In particular, we believe that extensive literature reviews should be conducted and that the quality of all suggested biomarkers should be systematically evaluated. In order to cover the literature on BFIs in the most appropriate and consistent manner, there is a need for appropriate guidelines on this topic. These guidelines should build upon guidelines in related areas of science while targeting the special needs of biomarker methodology. This document provides a guideline for conducting an extensive literature search on BFIs, which will provide the basis to systematically validate BFIs. This procedure will help to prioritize future work on the identification of new potential biomarkers and on validating these as well as other biomarker candidates, thereby providing better tools for future studies in nutrition and health.

  13. Guidelines for Biomarker of Food Intake Reviews (BFIRev: how to conduct an extensive literature search for biomarker of food intake discovery

    Directory of Open Access Journals (Sweden)

    Giulia Praticò

    2018-02-01

    Full Text Available Abstract Identification of new biomarkers of food and nutrient intake has developed fast over the past two decades and could potentially provide important new tools for compliance monitoring and dietary intake assessment in nutrition and health science. In recent years, metabolomics has played an important role in identifying a large number of putative biomarkers of food intake (BFIs. However, the large body of scientific literature on potential BFIs outside the metabolomics area should also be taken into account. In particular, we believe that extensive literature reviews should be conducted and that the quality of all suggested biomarkers should be systematically evaluated. In order to cover the literature on BFIs in the most appropriate and consistent manner, there is a need for appropriate guidelines on this topic. These guidelines should build upon guidelines in related areas of science while targeting the special needs of biomarker methodology. This document provides a guideline for conducting an extensive literature search on BFIs, which will provide the basis to systematically validate BFIs. This procedure will help to prioritize future work on the identification of new potential biomarkers and on validating these as well as other biomarker candidates, thereby providing better tools for future studies in nutrition and health.

  14. Biomedical engineering fundamentals

    CERN Document Server

    Bronzino, Joseph D

    2014-01-01

    Known as the bible of biomedical engineering, The Biomedical Engineering Handbook, Fourth Edition, sets the standard against which all other references of this nature are measured. As such, it has served as a major resource for both skilled professionals and novices to biomedical engineering.Biomedical Engineering Fundamentals, the first volume of the handbook, presents material from respected scientists with diverse backgrounds in physiological systems, biomechanics, biomaterials, bioelectric phenomena, and neuroengineering. More than three dozen specific topics are examined, including cardia

  15. The use of grounded theory in studies of nurses and midwives' coping processes: a systematic literature search.

    Science.gov (United States)

    Cheer, Karen; MacLaren, David; Tsey, Komla

    2015-01-01

    Researchers are increasingly using grounded theory methodologies to study the professional experience of nurses and midwives. To review common grounded theory characteristics and research design quality as described in grounded theory studies of coping strategies used by nurses and midwives. A systematic database search for 2005-2015 identified and assessed grounded theory characteristics from 16 studies. Study quality was assessed using a modified Critical Appraisal Skills Programme tool. Grounded theory was considered a methodology or a set of methods, able to be used within different nursing and midwifery contexts. Specific research requirements determined the common grounded theory characteristics used in different studies. Most researchers did not clarify their epistemological and theoretical perspectives. To improve research design and trustworthiness of grounded theory studies in nursing and midwifery, researchers need to state their theoretical stance and clearly articulate their use of grounded theory methodology and characteristics in research reporting.

  16. GeneView: a comprehensive semantic search engine for PubMed.

    Science.gov (United States)

    Thomas, Philippe; Starlinger, Johannes; Vowinkel, Alexander; Arzt, Sebastian; Leser, Ulf

    2012-07-01

    Research results are primarily published in scientific literature and curation efforts cannot keep up with the rapid growth of published literature. The plethora of knowledge remains hidden in large text repositories like MEDLINE. Consequently, life scientists have to spend a great amount of time searching for specific information. The enormous ambiguity among most names of biomedical objects such as genes, chemicals and diseases often produces too large and unspecific search results. We present GeneView, a semantic search engine for biomedical knowledge. GeneView is built upon a comprehensively annotated version of PubMed abstracts and openly available PubMed Central full texts. This semi-structured representation of biomedical texts enables a number of features extending classical search engines. For instance, users may search for entities using unique database identifiers or they may rank documents by the number of specific mentions they contain. Annotation is performed by a multitude of state-of-the-art text-mining tools for recognizing mentions from 10 entity classes and for identifying protein-protein interactions. GeneView currently contains annotations for >194 million entities from 10 classes for ∼21 million citations with 271,000 full text bodies. GeneView can be searched at http://bc3.informatik.hu-berlin.de/.

  17. Zirconia in biomedical applications.

    Science.gov (United States)

    Chen, Yen-Wei; Moussi, Joelle; Drury, Jeanie L; Wataha, John C

    2016-10-01

    The use of zirconia in medicine and dentistry has rapidly expanded over the past decade, driven by its advantageous physical, biological, esthetic, and corrosion properties. Zirconia orthopedic hip replacements have shown superior wear-resistance over other systems; however, risk of catastrophic fracture remains a concern. In dentistry, zirconia has been widely adopted for endosseous implants, implant abutments, and all-ceramic crowns. Because of an increasing demand for esthetically pleasing dental restorations, zirconia-based ceramic restorations have become one of the dominant restorative choices. Areas covered: This review provides an updated overview of the applications of zirconia in medicine and dentistry with a focus on dental applications. The MEDLINE electronic database (via PubMed) was searched, and relevant original and review articles from 2010 to 2016 were included. Expert commentary: Recent data suggest that zirconia performs favorably in both orthopedic and dental applications, but quality long-term clinical data remain scarce. Concerns about the effects of wear, crystalline degradation, crack propagation, and catastrophic fracture are still debated. The future of zirconia in biomedical applications will depend on the generation of these data to resolve concerns.

  18. Fundamental of biomedical engineering

    CERN Document Server

    Sawhney, GS

    2007-01-01

    About the Book: A well set out textbook explains the fundamentals of biomedical engineering in the areas of biomechanics, biofluid flow, biomaterials, bioinstrumentation and use of computing in biomedical engineering. All these subjects form a basic part of an engineer''s education. The text is admirably suited to meet the needs of the students of mechanical engineering, opting for the elective of Biomedical Engineering. Coverage of bioinstrumentation, biomaterials and computing for biomedical engineers can meet the needs of the students of Electronic & Communication, Electronic & Instrumenta

  19. Superhydrophobic Materials for Biomedical Applications

    Science.gov (United States)

    Colson, Yolonda L.; Grinstaff, Mark W.

    2016-01-01

    Superhydrophobic surfaces are actively studied across a wide range of applications and industries, and are now finding increased use in the biomedical arena as substrates to control protein adsorption, cellular interaction, and bacterial growth, as well as platforms for drug delivery devices and for diagnostic tools. The commonality in the design of these materials is to create a stable or metastable air state at the material surface, which lends itself to a number of unique properties. These activities are catalyzing the development of new materials, applications, and fabrication techniques, as well as collaborations across material science, chemistry, engineering, and medicine given the interdisciplinary nature of this work. The review begins with a discussion of superhydrophobicity, and then explores biomedical applications that are utilizing superhydrophobicity in depth including material selection characteristics, in vitro performance, and in vivo performance. General trends are offered for each application in addition to discussion of conflicting data in the literature, and the review concludes with the authors’ future perspectives on the utility of superhydrophobic surfaces for biomedical applications. PMID:27449946

  20. Biomedical applications engineering tasks

    Science.gov (United States)

    Laenger, C. J., Sr.

    1976-01-01

    The engineering tasks performed in response to needs articulated by clinicians are described. Initial contacts were made with these clinician-technology requestors by the Southwest Research Institute NASA Biomedical Applications Team. The basic purpose of the program was to effectively transfer aerospace technology into functional hardware to solve real biomedical problems.

  1. CONAN : Text Mining in the Biomedical Domain

    NARCIS (Netherlands)

    Malik, R.

    2006-01-01

    This thesis is about Text Mining. Extracting important information from literature. In the last years, the number of biomedical articles and journals is growing exponentially. Scientists might not find the information they want because of the large number of publications. Therefore a system was

  2. Learning to rank figures within a biomedical article.

    Directory of Open Access Journals (Sweden)

    Feifan Liu

    Full Text Available Hundreds of millions of figures are available in biomedical literature, representing important biomedical experimental evidence. This ever-increasing sheer volume has made it difficult for scientists to effectively and accurately access figures of their interest, the process of which is crucial for validating research facts and for formulating or testing novel research hypotheses. Current figure search applications can't fully meet this challenge as the "bag of figures" assumption doesn't take into account the relationship among figures. In our previous study, hundreds of biomedical researchers have annotated articles in which they serve as corresponding authors. They ranked each figure in their paper based on a figure's importance at their discretion, referred to as "figure ranking". Using this collection of annotated data, we investigated computational approaches to automatically rank figures. We exploited and extended the state-of-the-art listwise learning-to-rank algorithms and developed a new supervised-learning model BioFigRank. The cross-validation results show that BioFigRank yielded the best performance compared with other state-of-the-art computational models, and the greedy feature selection can further boost the ranking performance significantly. Furthermore, we carry out the evaluation by comparing BioFigRank with three-level competitive domain-specific human experts: (1 First Author, (2 Non-Author-In-Domain-Expert who is not the author nor co-author of an article but who works in the same field of the corresponding author of the article, and (3 Non-Author-Out-Domain-Expert who is not the author nor co-author of an article and who may or may not work in the same field of the corresponding author of an article. Our results show that BioFigRank outperforms Non-Author-Out-Domain-Expert and performs as well as Non-Author-In-Domain-Expert. Although BioFigRank underperforms First Author, since most biomedical researchers are either in- or

  3. Learning to rank figures within a biomedical article.

    Science.gov (United States)

    Liu, Feifan; Yu, Hong

    2014-01-01

    Hundreds of millions of figures are available in biomedical literature, representing important biomedical experimental evidence. This ever-increasing sheer volume has made it difficult for scientists to effectively and accurately access figures of their interest, the process of which is crucial for validating research facts and for formulating or testing novel research hypotheses. Current figure search applications can't fully meet this challenge as the "bag of figures" assumption doesn't take into account the relationship among figures. In our previous study, hundreds of biomedical researchers have annotated articles in which they serve as corresponding authors. They ranked each figure in their paper based on a figure's importance at their discretion, referred to as "figure ranking". Using this collection of annotated data, we investigated computational approaches to automatically rank figures. We exploited and extended the state-of-the-art listwise learning-to-rank algorithms and developed a new supervised-learning model BioFigRank. The cross-validation results show that BioFigRank yielded the best performance compared with other state-of-the-art computational models, and the greedy feature selection can further boost the ranking performance significantly. Furthermore, we carry out the evaluation by comparing BioFigRank with three-level competitive domain-specific human experts: (1) First Author, (2) Non-Author-In-Domain-Expert who is not the author nor co-author of an article but who works in the same field of the corresponding author of the article, and (3) Non-Author-Out-Domain-Expert who is not the author nor co-author of an article and who may or may not work in the same field of the corresponding author of an article. Our results show that BioFigRank outperforms Non-Author-Out-Domain-Expert and performs as well as Non-Author-In-Domain-Expert. Although BioFigRank underperforms First Author, since most biomedical researchers are either in- or out

  4. Biomedical image representation approach using visualness and spatial information in a concept feature space for interactive region-of-interest-based retrieval.

    Science.gov (United States)

    Rahman, Md Mahmudur; Antani, Sameer K; Demner-Fushman, Dina; Thoma, George R

    2015-10-01

    This article presents an approach to biomedical image retrieval by mapping image regions to local concepts where images are represented in a weighted entropy-based concept feature space. The term "concept" refers to perceptually distinguishable visual patches that are identified locally in image regions and can be mapped to a glossary of imaging terms. Further, the visual significance (e.g., visualness) of concepts is measured as the Shannon entropy of pixel values in image patches and is used to refine the feature vector. Moreover, the system can assist the user in interactively selecting a region-of-interest (ROI) and searching for similar image ROIs. Further, a spatial verification step is used as a postprocessing step to improve retrieval results based on location information. The hypothesis that such approaches would improve biomedical image retrieval is validated through experiments on two different data sets, which are collected from open access biomedical literature.

  5. Development of an information retrieval tool for biomedical patents.

    Science.gov (United States)

    Alves, Tiago; Rodrigues, Rúben; Costa, Hugo; Rocha, Miguel

    2018-06-01

    The volume of biomedical literature has been increasing in the last years. Patent documents have also followed this trend, being important sources of biomedical knowledge, technical details and curated data, which are put together along the granting process. The field of Biomedical text mining (BioTM) has been creating solutions for the problems posed by the unstructured nature of natural language, which makes the search of information a challenging task. Several BioTM techniques can be applied to patents. From those, Information Retrieval (IR) includes processes where relevant data are obtained from collections of documents. In this work, the main goal was to build a patent pipeline addressing IR tasks over patent repositories to make these documents amenable to BioTM tasks. The pipeline was developed within @Note2, an open-source computational framework for BioTM, adding a number of modules to the core libraries, including patent metadata and full text retrieval, PDF to text conversion and optical character recognition. Also, user interfaces were developed for the main operations materialized in a new @Note2 plug-in. The integration of these tools in @Note2 opens opportunities to run BioTM tools over patent texts, including tasks from Information Extraction, such as Named Entity Recognition or Relation Extraction. We demonstrated the pipeline's main functions with a case study, using an available benchmark dataset from BioCreative challenges. Also, we show the use of the plug-in with a user query related to the production of vanillin. This work makes available all the relevant content from patents to the scientific community, decreasing drastically the time required for this task, and provides graphical interfaces to ease the use of these tools. Copyright © 2018 Elsevier B.V. All rights reserved.

  6. Handbook of biomedical optics

    CERN Document Server

    Boas, David A

    2011-01-01

    Biomedical optics holds tremendous promise to deliver effective, safe, non- or minimally invasive diagnostics and targeted, customizable therapeutics. Handbook of Biomedical Optics provides an in-depth treatment of the field, including coverage of applications for biomedical research, diagnosis, and therapy. It introduces the theory and fundamentals of each subject, ensuring accessibility to a wide multidisciplinary readership. It also offers a view of the state of the art and discusses advantages and disadvantages of various techniques.Organized into six sections, this handbook: Contains intr

  7. Biomedical applications of polymers

    CERN Document Server

    Gebelein, C G

    1991-01-01

    The biomedical applications of polymers span an extremely wide spectrum of uses, including artificial organs, skin and soft tissue replacements, orthopaedic applications, dental applications, and controlled release of medications. No single, short review can possibly cover all these items in detail, and dozens of books andhundreds of reviews exist on biomedical polymers. Only a few relatively recent examples will be cited here;additional reviews are listed under most of the major topics in this book. We will consider each of the majorclassifications of biomedical polymers to some extent, inclu

  8. Powering biomedical devices

    CERN Document Server

    Romero, Edwar

    2013-01-01

    From exoskeletons to neural implants, biomedical devices are no less than life-changing. Compact and constant power sources are necessary to keep these devices running efficiently. Edwar Romero's Powering Biomedical Devices reviews the background, current technologies, and possible future developments of these power sources, examining not only the types of biomedical power sources available (macro, mini, MEMS, and nano), but also what they power (such as prostheses, insulin pumps, and muscular and neural stimulators), and how they work (covering batteries, biofluids, kinetic and ther

  9. A scoping review protocol on the roles and tasks of peer reviewers in the manuscript review process in biomedical journals.

    Science.gov (United States)

    Glonti, Ketevan; Cauchi, Daniel; Cobo, Erik; Boutron, Isabelle; Moher, David; Hren, Darko

    2017-10-22

    The primary functions of peer reviewers are poorly defined. Thus far no body of literature has systematically identified the roles and tasks of peer reviewers of biomedical journals. A clear establishment of these can lead to improvements in the peer review process. The purpose of this scoping review is to determine what is known on the roles and tasks of peer reviewers. We will use the methodological framework first proposed by Arksey and O'Malley and subsequently adapted by Levac et al and the Joanna Briggs Institute. The scoping review will include all study designs, as well as editorials, commentaries and grey literature. The following eight electronic databases will be searched (from inception to May 2017): Cochrane Library, Cumulative Index to Nursing and Allied Health Literature, Educational Resources Information Center, EMBASE, MEDLINE, PsycINFO, Scopus and Web of Science. Two reviewers will use inclusion and exclusion criteria based on the 'Population-Concept-Context' framework to independently screen titles and abstracts of articles considered for inclusion. Full-text screening of relevant eligible articles will also be carried out by two reviewers. The search strategy for grey literature will include searching in websites of existing networks, biomedical journal publishers and organisations that offer resources for peer reviewers. In addition we will review journal guidelines to peer reviewers on how to perform the manuscript review. Journals will be selected using the 2016 journal impact factor. We will identify and assess the top five, middle five and lowest-ranking five journals across all medical specialties. This scoping review will undertake a secondary analysis of data already collected and does not require ethical approval. The results will be disseminated through journals and conferences targeting stakeholders involved in peer review in biomedical research. © Article author(s) (or their employer(s) unless otherwise stated in the text of the

  10. Discrete-Time Biomedical Signal Encryption

    Directory of Open Access Journals (Sweden)

    Victor Grigoraş

    2017-12-01

    Full Text Available Chaotic modulation is a strong method of improving communication security. Analog and discrete chaotic systems are presented in actual literature. Due to the expansion of digital communication, discrete-time systems become more efficient and closer to actual technology. The present contribution offers an in-depth analysis of the effects chaos encryption produce on 1D and 2D biomedical signals. The performed simulations show that modulating signals are precisely recovered by the synchronizing receiver if discrete systems are digitally implemented and the coefficients precisely correspond. Channel noise is also applied and its effects on biomedical signal demodulation are highlighted.

  11. Biomedical Engineering Laboratory

    National Research Council Canada - National Science Library

    Bodruzzama, Mohammad

    2003-01-01

    ... and on-line analysis of the biomedical signals. Each Biopac system-based laboratory station consists of real-time data acquisition system, amplifiers for EMG, EKG, EEG, and equipment for the study of Plethysmography, evoked response, cardio...

  12. Biomedical signal analysis

    CERN Document Server

    Rangayyan, Rangaraj M

    2015-01-01

    The book will help assist a reader in the development of techniques for analysis of biomedical signals and computer aided diagnoses with a pedagogical examination of basic and advanced topics accompanied by over 350 figures and illustrations. Wide range of filtering techniques presented to address various applications. 800 mathematical expressions and equations. Practical questions, problems and laboratory exercises. Includes fractals and chaos theory with biomedical applications.

  13. Biomedical signal processing

    CERN Document Server

    Akay, Metin

    1994-01-01

    Sophisticated techniques for signal processing are now available to the biomedical specialist! Written in an easy-to-read, straightforward style, Biomedical Signal Processing presents techniques to eliminate background noise, enhance signal detection, and analyze computer data, making results easy to comprehend and apply. In addition to examining techniques for electrical signal analysis, filtering, and transforms, the author supplies an extensive appendix with several computer programs that demonstrate techniques presented in the text.

  14. Micro-systems in biomedical applications

    Science.gov (United States)

    Dario, Paolo; Chiara Carrozza, Maria; Benvenuto, Antonella; Menciassi, Arianna

    2000-06-01

    In this paper we analyse the main characteristics of some micro-devices which have been developed recently for biomedical applications. Among the many biomedical micro-systems proposed in the literature or already on the market, we have selected a few which, in our opinion, represent particularly well the technical problems to be solved, the research topics to be addressed and the opportunities offered by micro-system technology (MST) in the biomedical field. For this review we have identified four important areas of application of micro-systems in medicine and biology: (1) diagnostics (2) drug delivery; (3) neural prosthetics and tissue engineering; and (4) minimally invasive surgery. We conclude that MST has the potential to play a major role in the development of new medical instrumentation and to have a considerable industrial impact in this field.

  15. Reverse transcription quantitative real-time polymerase chain reaction reference genes in the spared nerve injury model of neuropathic pain: validation and literature search.

    Science.gov (United States)

    Piller, Nicolas; Decosterd, Isabelle; Suter, Marc R

    2013-07-10

    The reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) is a widely used, highly sensitive laboratory technique to rapidly and easily detect, identify and quantify gene expression. Reliable RT-qPCR data necessitates accurate normalization with validated control genes (reference genes) whose expression is constant in all studied conditions. This stability has to be demonstrated.We performed a literature search for studies using quantitative or semi-quantitative PCR in the rat spared nerve injury (SNI) model of neuropathic pain to verify whether any reference genes had previously been validated. We then analyzed the stability over time of 7 commonly used reference genes in the nervous system - specifically in the spinal cord dorsal horn and the dorsal root ganglion (DRG). These were: Actin beta (Actb), Glyceraldehyde-3-phosphate dehydrogenase (GAPDH), ribosomal proteins 18S (18S), L13a (RPL13a) and L29 (RPL29), hypoxanthine phosphoribosyltransferase 1 (HPRT1) and hydroxymethylbilane synthase (HMBS). We compared the candidate genes and established a stability ranking using the geNorm algorithm. Finally, we assessed the number of reference genes necessary for accurate normalization in this neuropathic pain model. We found GAPDH, HMBS, Actb, HPRT1 and 18S cited as reference genes in literature on studies using the SNI model. Only HPRT1 and 18S had been once previously demonstrated as stable in RT-qPCR arrays. All the genes tested in this study, using the geNorm algorithm, presented gene stability values (M-value) acceptable enough for them to qualify as potential reference genes in both DRG and spinal cord. Using the coefficient of variation, 18S failed the 50% cut-off with a value of 61% in the DRG. The two most stable genes in the dorsal horn were RPL29 and RPL13a; in the DRG they were HPRT1 and Actb. Using a 0.15 cut-off for pairwise variations we found that any pair of stable reference gene was sufficient for the normalization process

  16. Assessing the practice of biomedical ontology evaluation: Gaps and opportunities.

    Science.gov (United States)

    Amith, Muhammad; He, Zhe; Bian, Jiang; Lossio-Ventura, Juan Antonio; Tao, Cui

    2018-04-01

    With the proliferation of heterogeneous health care data in the last three decades, biomedical ontologies and controlled biomedical terminologies play a more and more important role in knowledge representation and management, data integration, natural language processing, as well as decision support for health information systems and biomedical research. Biomedical ontologies and controlled terminologies are intended to assure interoperability. Nevertheless, the quality of biomedical ontologies has hindered their applicability and subsequent adoption in real-world applications. Ontology evaluation is an integral part of ontology development and maintenance. In the biomedicine domain, ontology evaluation is often conducted by third parties as a quality assurance (or auditing) effort that focuses on identifying modeling errors and inconsistencies. In this work, we first organized four categorical schemes of ontology evaluation methods in the existing literature to create an integrated taxonomy. Further, to understand the ontology evaluation practice in the biomedicine domain, we reviewed a sample of 200 ontologies from the National Center for Biomedical Ontology (NCBO) BioPortal-the largest repository for biomedical ontologies-and observed that only 15 of these ontologies have documented evaluation in their corresponding inception papers. We then surveyed the recent quality assurance approaches for biomedical ontologies and their use. We also mapped these quality assurance approaches to the ontology evaluation criteria. It is our anticipation that ontology evaluation and quality assurance approaches will be more widely adopted in the development life cycle of biomedical ontologies. Copyright © 2018 Elsevier Inc. All rights reserved.

  17. Non-biomedical sources for systematic reviews of pharmaceutical policy

    OpenAIRE

    Greyson, Devon

    2010-01-01

    It has been well documented that reaching beyond MEDLINE into a diversity of databases enhances search results, but a chronic question in comprehensive and systematic searching is how far, and where, to search. When published in business or economics sources, articles focusing on cost outcomes of health and health policy interventions may not be indexed in the biomedical databases that are traditionally consulted for clinical systematic reviews. This dual case study explores and documents ...

  18. Introduction to biomedical optics

    CERN Document Server

    Splinter, Robert

    2006-01-01

    GENERAL BIOMEDICAL OPTICS THEORYIntroduction to the Use of Light for Diagnostic and Therapeutic ModalitiesWhat Is Biomedical Optics?Biomedical Optics TimelineElementary Optical DiscoveriesHistorical Events in Therapeutic and Diagnostic Use of LightLight SourcesCurrent State of the ArtSummaryAdditional ReadingProblemsReview of Optical Principles: Fundamental Electromagnetic Theory and Description of Light SourcesDefinitions in OpticsKirchhoff's Laws of RadiationElectromagnetic Wave TheoryLight SourcesApplications of Various LasersSummaryAdditional ReadingProblemsReview of Optical Principles: Classical OpticsGeometrical OpticsOther Optical PrinciplesQuantum PhysicsGaussian OpticsSummaryAdditional ReadingProblemsReview of Optical Interaction PropertiesAbsorption and ScatteringSummaryAdditional ReadingProblemsLight-Tissue Interaction VariablesLaser VariablesTissue VariablesLight Transportation TheoryLight Propagation under Dominant AbsorptionSummaryNomenclatureAdditional ReadingProblemsLight-Tissue Interaction Th...

  19. Biomedical waste management in Ayurveda hospitals - current practices & future prospectives.

    Science.gov (United States)

    Rajan, Renju; Robin, Delvin T; M, Vandanarani

    2018-03-16

    Biomedical waste management is an integral part of traditional and contemporary system of health care. The paper focuses on the identification and classification of biomedical wastes in Ayurvedic hospitals, current practices of its management in Ayurveda hospitals and its future prospective. Databases like PubMed (1975-2017 Feb), Scopus (1960-2017), AYUSH Portal, DOAJ, DHARA and Google scholar were searched. We used the medical subject headings 'biomedical waste' and 'health care waste' for identification and classification. The terms 'biomedical waste management', 'health care waste management' alone and combined with 'Ayurveda' or 'Ayurvedic' for current practices and recent advances in the treatment of these wastes were used. We made a humble attempt to categorize the biomedical wastes from Ayurvedic hospitals as the available data about its grouping is very scarce. Proper biomedical waste management is the mainstay of hospital cleanliness, hospital hygiene and maintenance activities. Current disposal techniques adopted for Ayurveda biomedical wastes are - sewage/drains, incineration and land fill. But these methods are having some merits as well as demerits. Our review has identified a number of interesting areas for future research such as the logical application of bioremediation techniques in biomedical waste management and the usage of effective micro-organisms and solar energy in waste disposal. Copyright © 2017 Transdisciplinary University, Bangalore and World Ayurveda Foundation. Published by Elsevier B.V. All rights reserved.

  20. Advances in biomedical engineering

    CERN Document Server

    Brown, J H U

    1976-01-01

    Advances in Biomedical Engineering, Volume 6, is a collection of papers that discusses the role of integrated electronics in medical systems and the usage of biological mathematical models in biological systems. Other papers deal with the health care systems, the problems and methods of approach toward rehabilitation, as well as the future of biomedical engineering. One paper discusses the use of system identification as it applies to biological systems to estimate the values of a number of parameters (for example, resistance, diffusion coefficients) by indirect means. More particularly, the i

  1. Advances in biomedical engineering

    CERN Document Server

    Brown, J H U

    1976-01-01

    Advances in Biomedical Engineering, Volume 5, is a collection of papers that deals with application of the principles and practices of engineering to basic and applied biomedical research, development, and the delivery of health care. The papers also describe breakthroughs in health improvements, as well as basic research that have been accomplished through clinical applications. One paper examines engineering principles and practices that can be applied in developing therapeutic systems by a controlled delivery system in drug dosage. Another paper examines the physiological and materials vari

  2. Biomedical enhancements as justice.

    Science.gov (United States)

    Nam, Jeesoo

    2015-02-01

    Biomedical enhancements, the applications of medical technology to make better those who are neither ill nor deficient, have made great strides in the past few decades. Using Amartya Sen's capability approach as my framework, I argue in this article that far from being simply permissible, we have a prima facie moral obligation to use these new developments for the end goal of promoting social justice. In terms of both range and magnitude, the use of biomedical enhancements will mark a radical advance in how we compensate the most disadvantaged members of society. © 2013 John Wiley & Sons Ltd.

  3. Text Mining approaches for automated literature knowledge extraction and representation.

    Science.gov (United States)

    Nuzzo, Angelo; Mulas, Francesca; Gabetta, Matteo; Arbustini, Eloisa; Zupan, Blaz; Larizza, Cristiana; Bellazzi, Riccardo

    2010-01-01

    Due to the overwhelming volume of published scientific papers, information tools for automated literature analysis are essential to support current biomedical research. We have developed a knowledge extraction tool to help researcher in discovering useful information which can support their reasoning process. The tool is composed of a search engine based on Text Mining and Natural Language Processing techniques, and an analysis module which process the search results in order to build annotation similarity networks. We tested our approach on the available knowledge about the genetic mechanism of cardiac diseases, where the target is to find both known and possible hypothetical relations between specific candidate genes and the trait of interest. We show that the system i) is able to effectively retrieve medical concepts and genes and ii) plays a relevant role assisting researchers in the formulation and evaluation of novel literature-based hypotheses.

  4. Biomedical Engineering in Modern Society

    Science.gov (United States)

    Attinger, E. O.

    1971-01-01

    Considers definition of biomedical engineering (BME) and how biomedical engineers should be trained. State of the art descriptions of BME and BME education are followed by a brief look at the future of BME. (TS)

  5. Biomedical Data Mining

    NARCIS (Netherlands)

    Peek, N.; Combi, C.; Tucker, A.

    2009-01-01

    Objective: To introduce the special topic of Methods of Information in Medicine on data mining in biomedicine, with selected papers from two workshops on Intelligent Data Analysis in bioMedicine (IDAMAP) held in Verona (2006) and Amsterdam (2007). Methods: Defining the field of biomedical data

  6. Anatomy for Biomedical Engineers

    Science.gov (United States)

    Carmichael, Stephen W.; Robb, Richard A.

    2008-01-01

    There is a perceived need for anatomy instruction for graduate students enrolled in a biomedical engineering program. This appeared especially important for students interested in and using medical images. These students typically did not have a strong background in biology. The authors arranged for students to dissect regions of the body that…

  7. Biomedical research applications

    International Nuclear Information System (INIS)

    Anon.

    1982-01-01

    The biomedical research Panel believes that the Calutron facility at Oak Ridge is a national and international resource of immense scientific value and of fundamental importance to continued biomedical research. This resource is essential to the development of new isotope uses in biology and medicine. It should therefore be nurtured by adequate support and operated in a way that optimizes its services to the scientific and technological community. The Panel sees a continuing need for a reliable supply of a wide variety of enriched stable isotopes. The past and present utilization of stable isotopes in biomedical research is documented in Appendix 7. Future requirements for stable isotopes are impossible to document, however, because of the unpredictability of research itself. Nonetheless we expect the demand for isotopes to increase in parallel with the continuing expansion of biomedical research as a whole. There are a number of promising research projects at the present time, and these are expected to lead to an increase in production requirements. The Panel also believes that a high degree of priority should be given to replacing the supplies of the 65 isotopes (out of the 224 previously available enriched isotopes) no longer available from ORNL

  8. Biomedical Science Technologists in Lagos Universities: Meeting ...

    African Journals Online (AJOL)

    Biomedical Science Technologists in Lagos Universities: Meeting Modern Standards in Biomedical Research. ... biomedical techniques. SOTA biomedical science needs adequate financial investment for the scientific resources as well as stable civic infrastructure, thus these public institutions need more of such provisions.

  9. Biomedical signals, imaging, and informatics

    CERN Document Server

    Bronzino, Joseph D

    2014-01-01

    Known as the bible of biomedical engineering, The Biomedical Engineering Handbook, Fourth Edition, sets the standard against which all other references of this nature are measured. As such, it has served as a major resource for both skilled professionals and novices to biomedical engineering.Biomedical Signals, Imaging, and Informatics, the third volume of the handbook, presents material from respected scientists with diverse backgrounds in biosignal processing, medical imaging, infrared imaging, and medical informatics.More than three dozen specific topics are examined, including biomedical s

  10. Search filters to identify geriatric medicine in Medline.

    Science.gov (United States)

    van de Glind, Esther M M; van Munster, Barbara C; Spijker, René; Scholten, Rob J P M; Hooft, Lotty

    2012-01-01

    To create user-friendly search filters with high sensitivity, specificity, and precision to identify articles on geriatric medicine in Medline. A diagnostic test assessment framework was used. A reference set of 2255 articles was created by hand-searching 22 biomedical journals in Medline, and each article was labeled as 'relevant', 'not relevant', or 'possibly relevant' for geriatric medicine. From the relevant articles, search terms were identified to compile different search strategies. The articles retrieved by the various search strategies were compared with articles from the reference set as the index test to create the search filters. Sensitivity, specificity, precision, accuracy, and number-needed-to-read (NNR) were calculated by comparing the results retrieved by the different search strategies with the reference set. The most sensitive search filter had a sensitivity of 94.8%, a specificity of 88.7%, a precision of 73.0%, and an accuracy of 90.2%. It had an NNR of 1.37. The most specific search filter had a specificity of 96.6%, a sensitivity of 69.1%, a precision of 86.6%, and an accuracy of 89.9%. It had an NNR of 1.15. These geriatric search filters simplify searching for relevant literature and therefore contribute to better evidence-based practice. The filters are useful to both the clinician who wants to find a quick answer to a clinical question and the researcher who wants to find as many relevant articles as possible without retrieving too many irrelevant articles.

  11. Optical Polarizationin Biomedical Applications

    CERN Document Server

    Tuchin, Valery V; Zimnyakov, Dmitry A

    2006-01-01

    Optical Polarization in Biomedical Applications introduces key developments in optical polarization methods for quantitative studies of tissues, while presenting the theory of polarization transfer in a random medium as a basis for the quantitative description of polarized light interaction with tissues. This theory uses the modified transfer equation for Stokes parameters and predicts the polarization structure of multiple scattered optical fields. The backscattering polarization matrices (Jones matrix and Mueller matrix) important for noninvasive medical diagnostic are introduced. The text also describes a number of diagnostic techniques such as CW polarization imaging and spectroscopy, polarization microscopy and cytometry. As a new tool for medical diagnosis, optical coherent polarization tomography is analyzed. The monograph also covers a range of biomedical applications, among them cataract and glaucoma diagnostics, glucose sensing, and the detection of bacteria.

  12. Biomedical Shape Memory Polymers

    Directory of Open Access Journals (Sweden)

    SHEN Xue-lin

    2017-07-01

    Full Text Available Shape memory polymers(SMPs are a class of functional "smart" materials that have shown bright prospects in the area of biomedical applications. The novel smart materials with multifunction of biodegradability and biocompatibility can be designed based on their general principle, composition and structure. In this review, the latest process of three typical biodegradable SMPs(poly(lactide acide, poly(ε-caprolactone, polyurethane was summarized. These three SMPs were classified in different structures and discussed, and shape-memory mechanism, recovery rate and fixed rate, response speed was analysed in detail, also, some biomedical applications were presented. Finally, the future development and applications of SMPs are prospected: two-way SMPs and body temperature induced SMPs will be the focus attension by researchers.

  13. Biomedical Applications of Graphene

    Science.gov (United States)

    Shen, He; Zhang, Liming; Liu, Min; Zhang, Zhijun

    2012-01-01

    Graphene exhibits unique 2-D structure and exceptional phyiscal and chemical properties that lead to many potential applications. Among various applications, biomedical applications of graphene have attracted ever-increasing interests over the last three years. In this review, we present an overview of current advances in applications of graphene in biomedicine with focus on drug delivery, cancer therapy and biological imaging, together with a brief discussion on the challenges and perspectives for future research in this field. PMID:22448195

  14. Multilingual biomedical dictionary.

    Science.gov (United States)

    Daumke, Philipp; Markó, Kornél; Poprat, Michael; Schulz, Stefan

    2005-01-01

    We present a unique technique to create a multilingual biomedical dictionary, based on a methodology called Morpho-Semantic indexing. Our approach closes a gap caused by the absence of free available multilingual medical dictionaries and the lack of accuracy of non-medical electronic translation tools. We first explain the underlying technology followed by a description of the dictionary interface, which makes use of a multilingual subword thesaurus and of statistical information from a domain-specific, multilingual corpus.

  15. [Open access :an opportunity for biomedical research].

    Science.gov (United States)

    Duchange, Nathalie; Autard, Delphine; Pinhas, Nicole

    2008-01-01

    Open access within the scientific community depends on the scientific context and the practices of the field. In the biomedical domain, the communication of research results is characterised by the importance of the peer reviewing process, the existence of a hierarchy among journals and the transfer of copyright to the editor. Biomedical publishing has become a lucrative market and the growth of electronic journals has not helped lower the costs. Indeed, it is difficult for today's public institutions to gain access to all the scientific literature. Open access is thus imperative, as demonstrated through the positions taken by a growing number of research funding bodies, the development of open access journals and efforts made in promoting open archives. This article describes the setting up of an Inserm portal for publication in the context of the French national protocol for open-access self-archiving and in an international context.

  16. Improving biomedical information retrieval by linear combinations of different query expansion techniques.

    Science.gov (United States)

    Abdulla, Ahmed AbdoAziz Ahmed; Lin, Hongfei; Xu, Bo; Banbhrani, Santosh Kumar

    2016-07-25

    Biomedical literature retrieval is becoming increasingly complex, and there is a fundamental need for advanced information retrieval systems. Information Retrieval (IR) programs scour unstructured materials such as text documents in large reserves of data that are usually stored on computers. IR is related to the representation, storage, and organization of information items, as well as to access. In IR one of the main problems is to determine which documents are relevant and which are not to the user's needs. Under the current regime, users cannot precisely construct queries in an accurate way to retrieve particular pieces of data from large reserves of data. Basic information retrieval systems are producing low-quality search results. In our proposed system for this paper we present a new technique to refine Information Retrieval searches to better represent the user's information need in order to enhance the performance of information retrieval by using different query expansion techniques and apply a linear combinations between them, where the combinations was linearly between two expansion results at one time. Query expansions expand the search query, for example, by finding synonyms and reweighting original terms. They provide significantly more focused, particularized search results than do basic search queries. The retrieval performance is measured by some variants of MAP (Mean Average Precision) and according to our experimental results, the combination of best results of query expansion is enhanced the retrieved documents and outperforms our baseline by 21.06 %, even it outperforms a previous study by 7.12 %. We propose several query expansion techniques and their combinations (linearly) to make user queries more cognizable to search engines and to produce higher-quality search results.

  17. BIMS: Biomedical Information Management System

    OpenAIRE

    Mora, Oscar; Bisbal, Jesús

    2013-01-01

    In this paper, we present BIMS (Biomedical Information Management System). BIMS is a software architecture designed to provide a flexible computational framework to manage the information needs of a wide range of biomedical research projects. The main goal is to facilitate the clinicians' job in data entry, and researcher's tasks in data management, in high data quality biomedical research projects. The BIMS architecture has been designed following the two-level modeling paradigm, a promising...

  18. Advances in biomedical engineering

    CERN Document Server

    Brown, J H U

    1973-01-01

    Advances in Biomedical Engineering, Volume 2, is a collection of papers that discusses the basic sciences, the applied sciences of engineering, the medical sciences, and the delivery of health services. One paper discusses the models of adrenal cortical control, including the secretion and metabolism of cortisol (the controlled process), as well as the initiation and modulation of secretion of ACTH (the controller). Another paper discusses hospital computer systems-application problems, objective evaluation of technology, and multiple pathways for future hospital computer applications. The pos

  19. Biomedical signals and systems

    CERN Document Server

    Tranquillo, Joseph V

    2013-01-01

    Biomedical Signals and Systems is meant to accompany a one-semester undergraduate signals and systems course. It may also serve as a quick-start for graduate students or faculty interested in how signals and systems techniques can be applied to living systems. The biological nature of the examples allows for systems thinking to be applied to electrical, mechanical, fluid, chemical, thermal and even optical systems. Each chapter focuses on a topic from classic signals and systems theory: System block diagrams, mathematical models, transforms, stability, feedback, system response, control, time

  20. Statistics in biomedical research

    Directory of Open Access Journals (Sweden)

    González-Manteiga, Wenceslao

    2007-06-01

    Full Text Available The discipline of biostatistics is nowadays a fundamental scientific component of biomedical, public health and health services research. Traditional and emerging areas of application include clinical trials research, observational studies, physiology, imaging, and genomics. The present article reviews the current situation of biostatistics, considering the statistical methods traditionally used in biomedical research, as well as the ongoing development of new methods in response to the new problems arising in medicine. Clearly, the successful application of statistics in biomedical research requires appropriate training of biostatisticians. This training should aim to give due consideration to emerging new areas of statistics, while at the same time retaining full coverage of the fundamentals of statistical theory and methodology. In addition, it is important that students of biostatistics receive formal training in relevant biomedical disciplines, such as epidemiology, clinical trials, molecular biology, genetics, and neuroscience.La Bioestadística es hoy en día una componente científica fundamental de la investigación en Biomedicina, salud pública y servicios de salud. Las áreas tradicionales y emergentes de aplicación incluyen ensayos clínicos, estudios observacionales, fisología, imágenes, y genómica. Este artículo repasa la situación actual de la Bioestadística, considerando los métodos estadísticos usados tradicionalmente en investigación biomédica, así como los recientes desarrollos de nuevos métodos, para dar respuesta a los nuevos problemas que surgen en Medicina. Obviamente, la aplicación fructífera de la estadística en investigación biomédica exige una formación adecuada de los bioestadísticos, formación que debería tener en cuenta las áreas emergentes en estadística, cubriendo al mismo tiempo los fundamentos de la teoría estadística y su metodología. Es importante, además, que los estudiantes de

  1. Biomedical photonics handbook

    CERN Document Server

    Vo-Dinh, Tuan

    2003-01-01

    1.Biomedical Photonics: A Revolution at the Interface of Science and Technology, T. Vo-DinhPHOTONICS AND TISSUE OPTICS2.Optical Properties of Tissues, J. Mobley and T. Vo-Dinh3.Light-Tissue Interactions, V.V. Tuchin 4.Theoretical Models and Algorithms in Optical Diffusion Tomography, S.J. Norton and T. Vo-DinhPHOTONIC DEVICES5.Laser Light in Biomedicine and the Life Sciences: From the Present to the Future, V.S. Letokhov6.Basic Instrumentation in Photonics, T. Vo-Dinh7.Optical Fibers and Waveguides for Medical Applications, I. Gannot and

  2. Radiochemicals in biomedical research

    International Nuclear Information System (INIS)

    Evans, E.A.; Oldham, K.G.

    1988-01-01

    This volume describes the role of radiochemicals in biomedical research, as tracers in the development of new drugs, their interaction and function with receptor proteins, with the kinetics of binding of hormone - receptor interactions, and their use in cancer research and clinical oncology. The book also aims to identify future trends in this research, the main objective of which is to provide information leading to improvements in the quality of life, and to give readers a basic understanding of the development of new drugs, how they function in relation to receptor proteins and lead to a better understanding of the diagnosis and treatment of cancers. (author)

  3. Unsupervised discovery of information structure in biomedical documents.

    Science.gov (United States)

    Kiela, Douwe; Guo, Yufan; Stenius, Ulla; Korhonen, Anna

    2015-04-01

    Information structure (IS) analysis is a text mining technique, which classifies text in biomedical articles into categories that capture different types of information, such as objectives, methods, results and conclusions of research. It is a highly useful technique that can support a range of Biomedical Text Mining tasks and can help readers of biomedical literature find information of interest faster, accelerating the highly time-consuming process of literature review. Several approaches to IS analysis have been presented in the past, with promising results in real-world biomedical tasks. However, all existing approaches, even weakly supervised ones, require several hundreds of hand-annotated training sentences specific to the domain in question. Because biomedicine is subject to considerable domain variation, such annotations are expensive to obtain. This makes the application of IS analysis across biomedical domains difficult. In this article, we investigate an unsupervised approach to IS analysis and evaluate the performance of several unsupervised methods on a large corpus of biomedical abstracts collected from PubMed. Our best unsupervised algorithm (multilevel-weighted graph clustering algorithm) performs very well on the task, obtaining over 0.70 F scores for most IS categories when applied to well-known IS schemes. This level of performance is close to that of lightly supervised IS methods and has proven sufficient to aid a range of practical tasks. Thus, using an unsupervised approach, IS could be applied to support a wide range of tasks across sub-domains of biomedicine. We also demonstrate that unsupervised learning brings novel insights into IS of biomedical literature and discovers information categories that are not present in any of the existing IS schemes. The annotated corpus and software are available at http://www.cl.cam.ac.uk/∼dk427/bio14info.html. © The Author 2014. Published by Oxford University Press. All rights reserved. For

  4. Beyond captions: linking figures with abstract sentences in biomedical articles.

    Directory of Open Access Journals (Sweden)

    Joseph P Bockhorst

    Full Text Available Although figures in scientific articles have high information content and concisely communicate many key research findings, they are currently under utilized by literature search and retrieval systems. Many systems ignore figures, and those that do not typically only consider caption text. This study describes and evaluates a fully automated approach for associating figures in the body of a biomedical article with sentences in its abstract. We use supervised methods to learn probabilistic language models, hidden Markov models, and conditional random fields for predicting associations between abstract sentences and figures. Three kinds of evidence are used: text in abstract sentences and figures, relative positions of sentences and figures, and the patterns of sentence/figure associations across an article. Each information source is shown to have predictive value, and models that use all kinds of evidence are more accurate than models that do not. Our most accurate method has an F1-score of 69% on a cross-validation experiment, is competitive with the accuracy of human experts, has significantly better predictive accuracy than state-of-the-art methods and enables users to access figures associated with an abstract sentence with an average of 1.82 fewer mouse clicks. A user evaluation shows that human users find our system beneficial. The system is available at http://FigureItOut.askHERMES.org.

  5. Beyond captions: linking figures with abstract sentences in biomedical articles.

    Science.gov (United States)

    Bockhorst, Joseph P; Conroy, John M; Agarwal, Shashank; O'Leary, Dianne P; Yu, Hong

    2012-01-01

    Although figures in scientific articles have high information content and concisely communicate many key research findings, they are currently under utilized by literature search and retrieval systems. Many systems ignore figures, and those that do not typically only consider caption text. This study describes and evaluates a fully automated approach for associating figures in the body of a biomedical article with sentences in its abstract. We use supervised methods to learn probabilistic language models, hidden Markov models, and conditional random fields for predicting associations between abstract sentences and figures. Three kinds of evidence are used: text in abstract sentences and figures, relative positions of sentences and figures, and the patterns of sentence/figure associations across an article. Each information source is shown to have predictive value, and models that use all kinds of evidence are more accurate than models that do not. Our most accurate method has an F1-score of 69% on a cross-validation experiment, is competitive with the accuracy of human experts, has significantly better predictive accuracy than state-of-the-art methods and enables users to access figures associated with an abstract sentence with an average of 1.82 fewer mouse clicks. A user evaluation shows that human users find our system beneficial. The system is available at http://FigureItOut.askHERMES.org.

  6. Writing a narrative biomedical review: considerations for authors, peer reviewers, and editors.

    Science.gov (United States)

    Gasparyan, Armen Yuri; Ayvazyan, Lilit; Blackmore, Heather; Kitas, George D

    2011-11-01

    Review articles comprehensively covering a specific topic are crucial for successful research and academic projects. Most editors consider review articles for special and regular issues of journals. Writing a review requires deep knowledge and understanding of a field. The aim of this review is to analyze the main steps in writing a narrative biomedical review and to consider points that may increase the chances of success. We performed a comprehensive search through MEDLINE, EMBASE, Scopus, and Web of Science using the following keywords: review of the literature, narrative review, title, abstract, authorship, ethics, peer review, research methods, medical writing, scientific writing, and writing standards. Opinions expressed in the review are also based on personal experience as authors, peer reviewers, and editors.

  7. Bioinformatics: searching the Net.

    Science.gov (United States)

    Kastin, S; Wexler, J

    1998-04-01

    During the past 30 years, there has been an explosion in the volume of published medical information. As this volume has increased, so has the need for efficient methods for searching the data. MEDLINE, the primary medical database, is currently limited to abstracts of the medical literature. MEDLINE searches use AND/OR/NOT logical searching for keywords that have been assigned to each article and for textwords included in article abstracts. Recently, the complete text of some scientific journals, including figures and tables, has become accessible electronically. Keyword and textword searches can provide an overwhelming number of results. Search engines that use phrase searching, or searches that limit the number of words between two finds, improve the precision of search engines. The development of the Internet as a vehicle for worldwide communication, and the emergence of the World Wide Web (WWW) as a common vehicle for communication have made instantaneous access to much of the entire body of medical information an exciting possibility. There is more than one way to search the WWW for information. At the present time, two broad strategies have emerged for cataloging the WWW: directories and search engines. These allow more efficient searching of the WWW. Directories catalog WWW information by creating categories and subcategories of information and then publishing pointers to information within the category listings. Directories are analogous to yellow pages of the phone book. Search engines make no attempt to categorize information. They automatically scour the WWW looking for words and then automatically create an index of those words. When a specific search engine is used, its index is searched for a particular word. Usually, search engines are nonspecific and produce voluminous results. Use of AND/OR/NOT and "near" and "adjacent" search refinements greatly improve the results of a search. Search engines that limit their scope to specific sites, and

  8. Company sustainability, an overview of the existing literature: in search of a common definition and its influence over continuous improvement endeavours

    OpenAIRE

    Chirinos, Orlando; Pralus, Magali; Habchi, Georges; Messaoudène, Zahir

    2017-01-01

    International audience; In a rapidly changing business environment, the implementation and sustainability of effective continuous improvement programs are synonymous with success. Maintaining an expected performance level over time is seen as the ultimate goal for any company. However, it becomes a complicated issue when there is little consensus for sustainability. The purpose of this paper is to study the definition of sustainability within the existing literature from different authors, di...

  9. A Part-Of-Speech term weighting scheme for biomedical information retrieval.

    Science.gov (United States)

    Wang, Yanshan; Wu, Stephen; Li, Dingcheng; Mehrabi, Saeed; Liu, Hongfang

    2016-10-01

    In the era of digitalization, information retrieval (IR), which retrieves and ranks documents from large collections according to users' search queries, has been popularly applied in the biomedical domain. Building patient cohorts using electronic health records (EHRs) and searching literature for topics of interest are some IR use cases. Meanwhile, natural language processing (NLP), such as tokenization or Part-Of-Speech (POS) tagging, has been developed for processing clinical documents or biomedical literature. We hypothesize that NLP can be incorporated into IR to strengthen the conventional IR models. In this study, we propose two NLP-empowered IR models, POS-BoW and POS-MRF, which incorporate automatic POS-based term weighting schemes into bag-of-word (BoW) and Markov Random Field (MRF) IR models, respectively. In the proposed models, the POS-based term weights are iteratively calculated by utilizing a cyclic coordinate method where golden section line search algorithm is applied along each coordinate to optimize the objective function defined by mean average precision (MAP). In the empirical experiments, we used the data sets from the Medical Records track in Text REtrieval Conference (TREC) 2011 and 2012 and the Genomics track in TREC 2004. The evaluation on TREC 2011 and 2012 Medical Records tracks shows that, for the POS-BoW models, the mean improvement rates for IR evaluation metrics, MAP, bpref, and P@10, are 10.88%, 4.54%, and 3.82%, compared to the BoW models; and for the POS-MRF models, these rates are 13.59%, 8.20%, and 8.78%, compared to the MRF models. Additionally, we experimentally verify that the proposed weighting approach is superior to the simple heuristic and frequency based weighting approaches, and validate our POS category selection. Using the optimal weights calculated in this experiment, we tested the proposed models on the TREC 2004 Genomics track and obtained average of 8.63% and 10.04% improvement rates for POS-BoW and POS

  10. Incorporating a Drug Information Consult into a Pharmacy Practice Course to Build Literature Search and Evaluation Skills Through a 3-Stage Model.

    Science.gov (United States)

    Wittman, Deborah; Kovera, Craig; Sullivan, Maureen; Rumore, Martha M

    2017-06-01

    Pharmacy students need to be equipped with skills to research and evaluate literature to effectively apply evidence-based medicine (EBM) in practice. To prepare them, a 3-stage approach to writing a drug information consult (3sDIC) was incorporated into a pharmacy course. The primary objective was to assess students' abilities to retrieve and analyze literature pursuant to a drug information consult. Secondary objectives were to examine feasibility of faculty participation and continuation of the assignment. Ninety students were given a clinical scenario about a patient. The assignment consisted of 3 stages incorporating use of the Population, Intervention, Comparison intervention, Outcome (PICO) method and modified systematic approach (MSA) for stage 1, evaluation of primary literature to write a draft for stage 2, and stage 3, the final consult. All 3 stages were reviewed and graded by faculty. All students completed the 3sDIC, with no grade failures. The rubric employed by faculty was effective, providing students the opportunity to improve the consult. The 3sDIC was found to be feasible with adequate faculty support. The 3sDIC, although not a substitute for a complete drug information course, demonstrated a streamlined approach for Pharmacy year 2 (P2) students to acquire and develop drug information skills.

  11. Search Help

    Science.gov (United States)

    Guidance and search help resource listing examples of common queries that can be used in the Google Search Appliance search request, including examples of special characters, or query term seperators that Google Search Appliance recognizes.

  12. Retracted publications in the drug literature.

    Science.gov (United States)

    Samp, Jennifer C; Schumock, Glen T; Pickard, A Simon

    2012-07-01

    Recent studies have suggested an increase in the number of retracted scientific publications. It is unclear how broadly the issue of misleading and fraudulent publications pertains to retractions of drug therapy studies. Therefore, we sought to determine the trends and factors associated with retracted publications in drug therapy literature. A PubMed search was conducted to identify retracted drug therapy articles published from 2000-2011. Articles were grouped according to reason for retraction, which was classified as scientific misconduct or error. Scientific misconduct was further divided into data fabrication, data falsification, questions of data veracity, unethical author conduct, and plagiarism. Error was defined as duplicate publication, scientific mistake, journal error, or unstated reasons. Additional data were extracted from the retracted articles, including type of article, funding source, author information, therapeutic area, and retraction issue. A total of 742 retractions were identified from 2000-2011 in the general biomedical literature, and 102 drug studies met our inclusion criteria. Of these, 73 articles (72%) were retracted for a reason classified as scientific misconduct, whereas 29 articles (28%) were retracted for error. Among the 73 articles classified as scientific misconduct, those classified as unethical author conduct (32 articles [44%]) and data fabrication (24 articles [33%]) constituted the majority. The median time from publication of the original article to retraction was 31 months (range 1-130). Fifty percent of retracted articles did not state a funding source, whereas pharmaceutical manufacturer funding accounted for only 13 articles (13%) analyzed. Many retractions were due to repeat offenses by a small number of authors, with nearly 40% of the retracted studies associated with two individuals. We found that a greater proportion of drug therapy articles were retracted for reasons of misconduct and fraud compared with other

  13. Professional Identification for Biomedical Engineers

    Science.gov (United States)

    Long, Francis M.

    1973-01-01

    Discusses four methods of professional identification in biomedical engineering including registration, certification, accreditation, and possible membership qualification of the societies. Indicates that the destiny of the biomedical engineer may be under the control of a new profession, neither the medical nor the engineering. (CC)

  14. Egyptian Journal of Biomedical Sciences

    African Journals Online (AJOL)

    The Egyptian Journal of Biomedical Sciences publishes in all aspects of biomedical research sciences. Both basic and clinical research papers are welcomed. Vol 23 (2007). DOWNLOAD FULL TEXT Open Access DOWNLOAD FULL TEXT Subscription or Fee Access. Table of Contents. Articles. Phytochemical And ...

  15. How to Select a Journal to Submit and Publish Your Biomedical Paper?

    Directory of Open Access Journals (Sweden)

    Farhad Shokraneh

    2012-03-01

    Full Text Available Introduction: selection of journal for publication purpose is one of concerns of biomedical researchers. They apply various criteria to choose appropriate journal. Here, we have tried to collect main criteria biomedical researchers use to select a journal to submit their work. Methods: we collected these criteria through focus group conversations with researchers during our careers, feedbacks from participants of our scientific writing workshops and non-systematic reviewing of some related literature. Results: we have presented a summative and informative guidance in selection of biomedical journals for biomedical paper submission and publication. Conclusion: Categorized criteria as a mnemonic tool for authors may help the authors in journal selection process.

  16. miRAFinder and GeneAFinder scripts: large-scale searching for miRNA and related information in indexed literature abstracts.

    Science.gov (United States)

    Berillo, Olga; Régnier, Mireille; Ivashchenko, Anatoly

    2014-01-01

    In recent times, information on miRNAs and their binding sites is gaining momentum. Therefore, there is interest in the development of tools extracting miRNA related information from known literature. Hence, we describe GeneAFinder and miRAFinder scripts (open source) developed using python programming for the semi-automatic extraction and arrangement of updated information on miRNAs, genes and additional data from published article abstracts in PubMed. The scripts are suitable for custom modification as per requirement. miRAFinder and GeneAFinder scripts are free and available for download at http://sites.google.com /site/malaheenee/software.

  17. Writing a convincing and effective discussion section of a biomedical ...

    African Journals Online (AJOL)

    Regrettably, the discussion is usually poorly written in most biomedical journals. The author's contribution is often widely scattered throughout the discussion. Sometimes it is overwhelmed by the cited literature. This weakens the message and the impact of the contribution. The approach suggested by this author is aimed at ...

  18. Biomedical informatics and translational medicine

    Directory of Open Access Journals (Sweden)

    Sarkar Indra

    2010-02-01

    Full Text Available Abstract Biomedical informatics involves a core set of methodologies that can provide a foundation for crossing the "translational barriers" associated with translational medicine. To this end, the fundamental aspects of biomedical informatics (e.g., bioinformatics, imaging informatics, clinical informatics, and public health informatics may be essential in helping improve the ability to bring basic research findings to the bedside, evaluate the efficacy of interventions across communities, and enable the assessment of the eventual impact of translational medicine innovations on health policies. Here, a brief description is provided for a selection of key biomedical informatics topics (Decision Support, Natural Language Processing, Standards, Information Retrieval, and Electronic Health Records and their relevance to translational medicine. Based on contributions and advancements in each of these topic areas, the article proposes that biomedical informatics practitioners ("biomedical informaticians" can be essential members of translational medicine teams.

  19. Biomedical informatics and translational medicine.

    Science.gov (United States)

    Sarkar, Indra Neil

    2010-02-26

    Biomedical informatics involves a core set of methodologies that can provide a foundation for crossing the "translational barriers" associated with translational medicine. To this end, the fundamental aspects of biomedical informatics (e.g., bioinformatics, imaging informatics, clinical informatics, and public health informatics) may be essential in helping improve the ability to bring basic research findings to the bedside, evaluate the efficacy of interventions across communities, and enable the assessment of the eventual impact of translational medicine innovations on health policies. Here, a brief description is provided for a selection of key biomedical informatics topics (Decision Support, Natural Language Processing, Standards, Information Retrieval, and Electronic Health Records) and their relevance to translational medicine. Based on contributions and advancements in each of these topic areas, the article proposes that biomedical informatics practitioners ("biomedical informaticians") can be essential members of translational medicine teams.

  20. Computational intelligence in biomedical imaging

    CERN Document Server

    2014-01-01

    This book provides a comprehensive overview of the state-of-the-art computational intelligence research and technologies in biomedical images with emphasis on biomedical decision making. Biomedical imaging offers useful information on patients’ medical conditions and clues to causes of their symptoms and diseases. Biomedical images, however, provide a large number of images which physicians must interpret. Therefore, computer aids are demanded and become indispensable in physicians’ decision making. This book discusses major technical advancements and research findings in the field of computational intelligence in biomedical imaging, for example, computational intelligence in computer-aided diagnosis for breast cancer, prostate cancer, and brain disease, in lung function analysis, and in radiation therapy. The book examines technologies and studies that have reached the practical level, and those technologies that are becoming available in clinical practices in hospitals rapidly such as computational inte...

  1. Motivation in pediatric motor rehabilitation: A systematic search of the literature using the self-determination theory as a conceptual framework.

    Science.gov (United States)

    Meyns, Pieter; Roman de Mettelinge, Tine; van der Spank, Judith; Coussens, Marieke; Van Waelvelde, Hilde

    2017-03-09

    Motivation is suggested as an important factor in pediatric motor rehabilitation. Therefore, we reviewed the existing evidence of (motivational) motor rehabilitation paradigms, and how motivation influences rehabilitation outcome using self-determination theory as conceptual framework. PubMed and Web-of-Science databases were systematically searched until June 2015. Data were independently extracted and critiqued for quality by three authors. Studies reporting motivational aspects were included. Most studies examined new technology (e.g., virtual reality [VR]). Out of 479 records, three RCT, six case-control, and six non-comparative studies were included with mixed quality. Motivation was rarely reported. Training individualization to the child's capabilities with more variety seemed promising to increase motivation. Motivation increased when the exercises seemed helpful for daily activities. Motivation in pediatric rehabilitation should be comprehensively assessed within a theoretical framework as there are indications that motivated children have better rehabilitation outcomes, depending on the aspect of motivation.

  2. Determination of death: Metaphysical and biomedical discourse

    Directory of Open Access Journals (Sweden)

    Irayda Jakušovaitė

    2016-01-01

    Full Text Available The prominence of biomedical criteria relying on brain death reduces the impact of metaphysical, anthropological, psychosocial, cultural, religious, and legal aspects disclosing the real value and essence of human life. The aim of this literature review is to discuss metaphysical and biomedical approaches toward death and their complimentary relationship in the determination of death. A critical appraisal of theoretical and scientific evidence and legal documents supported analytical discourse. In the metaphysical discourse of death, two main questions about what human death is and how to determine the fact of death clearly separate the ontological and epistemological aspects of death. During the 20th century, various understandings of human death distinguished two different approaches toward the human: the human is a subject of activities or a subject of the human being. Extinction of the difference between the entities and the being, emphasized as rational–logical instrumentation, is not sufficient to understand death thoroughly. Biological criteria of death are associated with biological features and irreversible loss of certain cognitive capabilities. Debating on the question “Does a brain death mean death of a human being?” two approaches are considering: the body-centrist and the mind-centrist. By bridging those two alternatives human death appears not only as biomedical, but also as metaphysical phenomenon. It was summarized that a predominance of clinical criteria for determination of death in practice leads to medicalization of death and limits the holistic perspective toward individual's death. Therefore, the balance of metaphysical and biomedical approaches toward death and its determination would decrease the medicalization of the concept of death.

  3. Effectiveness of bibliographic searches performed by paediatric residents and interns assisted by librarians. A randomised controlled trial.

    Science.gov (United States)

    Gardois, Paolo; Calabrese, Roberto; Colombi, Nicoletta; Deplano, Annamaria; Lingua, Carla; Longo, Filomena; Villanacci, Maria C; Miniero, Roberto; Piga, Antonio

    2011-12-01

    Considerable barriers still prevent paediatricians from successfully using information retrieval technology. To verify whether the assistance of biomedical librarians significantly improves the outcomes of searches performed by paediatricians in biomedical databases using real-life clinical scenarios. In a controlled trial at a paediatric teaching hospital, nine residents and interns were randomly allocated to an assisted search group and nine to a non-assisted (control) group. Each participant searched PubMed and other online sources, performing pre-determined tasks including the formulation of a clinical question, retrieval and selection of bibliographic records. In the assisted group, participants were supported by a librarian with ≥5 years of experience. The primary outcome was the success of search sessions, scored against a specific assessment tool. The median score of the assisted group was 73.6 points interquartile range (IQR = 13.4) vs. 50.4 (IQR = 17.1) of the control group. The difference between median values in the results was 23.2 points (95% CI 4.8-33.2), in favour of the assisted group (P-value, Mann-Whitney U test: 0.013). The study has found quantitative evidence of a significant difference in search performance between paediatric residents or interns assisted by a librarian and those searching the literature alone. © 2011 The authors. Health Information and Libraries Journal © 2011 Health Libraries Group.

  4. Systematic literature review

    DEFF Research Database (Denmark)

    Barnard, K. D.; Lloyd, C. E.; Skinner, T. C.

    2007-01-01

    Aim: To review systematically the published literature addressing whether continuous subcutaneous insulin infusion (CSII) provides any quality of life benefits to people with Type 1 diabetes. Methods: Electronic databases and published references were searched and a consultation with two professi...

  5. Current practice of public involvement activities in biomedical research and innovation: a systematic qualitative review.

    Science.gov (United States)

    Lander, Jonas; Hainz, Tobias; Hirschberg, Irene; Strech, Daniel

    2014-01-01

    A recent report from the British Nuffield Council on Bioethics associated 'emerging biotechnologies' with a threefold challenge: 1) uncertainty about outcomes, 2) diverse public views on the values and implications attached to biotechnologies and 3) the possibility of creating radical changes regarding societal relations and practices. To address these challenges, leading international institutions stress the need for public involvement activities (PIAs). The objective of this study was to assess the state of PIA reports in the field of biomedical research. PIA reports were identified via a systematic literature search. Thematic text analysis was employed for data extraction. After filtering, 35 public consultation and 11 public participation studies were included in this review. Analysis and synthesis of all 46 PIA studies resulted in 6 distinguishable PIA objectives and 37 corresponding PIA methods. Reports of outcome translation and PIA evaluation were found in 9 and 10 studies respectively (20% and 22%). The paper presents qualitative details. The state of PIAs on biomedical research and innovation is characterized by a broad range of methods and awkward variation in the wording of objectives. Better comparability of PIAs might improve the translation of PIA findings into further policy development. PIA-specific reporting guidelines would help in this regard. The modest level of translation efforts is another pointer to the "deliberation to policy gap". The results of this review could inform the design of new PIAs and future efforts to improve PIA comparability and outcome translation.

  6. Current practice of public involvement activities in biomedical research and innovation: a systematic qualitative review.

    Directory of Open Access Journals (Sweden)

    Jonas Lander

    Full Text Available A recent report from the British Nuffield Council on Bioethics associated 'emerging biotechnologies' with a threefold challenge: 1 uncertainty about outcomes, 2 diverse public views on the values and implications attached to biotechnologies and 3 the possibility of creating radical changes regarding societal relations and practices. To address these challenges, leading international institutions stress the need for public involvement activities (PIAs. The objective of this study was to assess the state of PIA reports in the field of biomedical research.PIA reports were identified via a systematic literature search. Thematic text analysis was employed for data extraction.After filtering, 35 public consultation and 11 public participation studies were included in this review. Analysis and synthesis of all 46 PIA studies resulted in 6 distinguishable PIA objectives and 37 corresponding PIA methods. Reports of outcome translation and PIA evaluation were found in 9 and 10 studies respectively (20% and 22%. The paper presents qualitative details.The state of PIAs on biomedical research and innovation is characterized by a broad range of methods and awkward variation in the wording of objectives. Better comparability of PIAs might improve the translation of PIA findings into further policy development. PIA-specific reporting guidelines would help in this regard. The modest level of translation efforts is another pointer to the "deliberation to policy gap". The results of this review could inform the design of new PIAs and future efforts to improve PIA comparability and outcome translation.

  7. A comparison study on algorithms of detecting long forms for short forms in biomedical text

    Directory of Open Access Journals (Sweden)

    Wu Cathy H

    2007-11-01

    Full Text Available Abstract Motivation With more and more research dedicated to literature mining in the biomedical domain, more and more systems are available for people to choose from when building literature mining applications. In this study, we focus on one specific kind of literature mining task, i.e., detecting definitions of acronyms, abbreviations, and symbols in biomedical text. We denote acronyms, abbreviations, and symbols as short forms (SFs and their corresponding definitions as long forms (LFs. The study was designed to answer the following questions; i how well a system performs in detecting LFs from novel text, ii what the coverage is for various terminological knowledge bases in including SFs as synonyms of their LFs, and iii how to combine results from various SF knowledge bases. Method We evaluated the following three publicly available detection systems in detecting LFs for SFs: i a handcrafted pattern/rule based system by Ao and Takagi, ALICE, ii a machine learning system by Chang et al., and iii a simple alignment-based program by Schwartz and Hearst. In addition, we investigated the conceptual coverage of two terminological knowledge bases: i the UMLS (the Unified Medical Language System, and ii the BioThesaurus (a thesaurus of names for all UniProt protein records. We also implemented a web interface that provides a virtual integration of various SF knowledge bases. Results We found that detection systems agree with each other on most cases, and the existing terminological knowledge bases have a good coverage of synonymous relationship for frequently defined LFs. The web interface allows people to detect SF definitions from text and to search several SF knowledge bases. Availability The web site is http://gauss.dbb.georgetown.edu/liblab/SFThesaurus.

  8. Searching for non-genetic molecular and imaging PTSD risk and resilience markers: Systematic review of literature and design of the German Armed Forces PTSD biomarker study.

    Science.gov (United States)

    Schmidt, Ulrike; Willmund, Gerd-Dieter; Holsboer, Florian; Wotjak, Carsten T; Gallinat, Jürgen; Kowalski, Jens T; Zimmermann, Peter

    2015-01-01

    Biomarkers allowing the identification of individuals with an above average vulnerability or resilience for posttraumatic stress disorder (PTSD) would especially serve populations at high risk for trauma exposure like firefighters, police officers and combat soldiers. Aiming to identify the most promising putative PTSD vulnerability markers, we conducted the first systematic review on potential imaging and non-genetic molecular markers for PTSD risk and resilience. Following the PRISMA guidelines, we systematically screened the PubMed database for prospective longitudinal clinical studies and twin studies reporting on pre-trauma and post-trauma PTSD risk and resilience biomarkers. Using 25 different combinations of search terms, we retrieved 8151 articles of which we finally included and evaluated 9 imaging and 27 molecular studies. In addition, we briefly illustrate the design of the ongoing prospective German Armed Forces (Bundeswehr) PTSD biomarker study (Bw-BioPTSD) which not only aims to validate these previous findings but also to identify novel and clinically applicable molecular, psychological and imaging risk, resilience and disease markers for deployment-related psychopathology in a cohort of German soldiers who served in Afghanistan. Copyright © 2014 Elsevier Ltd. All rights reserved.

  9. Text Mining in Biomedical Domain with Emphasis on Document Clustering.

    Science.gov (United States)

    Renganathan, Vinaitheerthan

    2017-07-01

    With the exponential increase in the number of articles published every year in the biomedical domain, there is a need to build automated systems to extract unknown information from the articles published. Text mining techniques enable the extraction of unknown knowledge from unstructured documents. This paper reviews text mining processes in detail and the software tools available to carry out text mining. It also reviews the roles and applications of text mining in the biomedical domain. Text mining processes, such as search and retrieval of documents, pre-processing of documents, natural language processing, methods for text clustering, and methods for text classification are described in detail. Text mining techniques can facilitate the mining of vast amounts of knowledge on a given topic from published biomedical research articles and draw meaningful conclusions that are not possible otherwise.

  10. Semantic similarity in biomedical ontologies.

    Directory of Open Access Journals (Sweden)

    Catia Pesquita

    2009-07-01

    Full Text Available In recent years, ontologies have become a mainstream topic in biomedical research. When biological entities are described using a common schema, such as an ontology, they can be compared by means of their annotations. This type of comparison is called semantic similarity, since it assesses the degree of relatedness between two entities by the similarity in meaning of their annotations. The application of semantic similarity to biomedical ontologies is recent; nevertheless, several studies have been published in the last few years describing and evaluating diverse approaches. Semantic similarity has become a valuable tool for validating the results drawn from biomedical studies such as gene clustering, gene expression data analysis, prediction and validation of molecular interactions, and disease gene prioritization. We review semantic similarity measures applied to biomedical ontologies and propose their classification according to the strategies they employ: node-based versus edge-based and pairwise versus groupwise. We also present comparative assessment studies and discuss the implications of their results. We survey the existing implementations of semantic similarity measures, and we describe examples of applications to biomedical research. This will clarify how biomedical researchers can benefit from semantic similarity measures and help them choose the approach most suitable for their studies.Biomedical ontologies are evolving toward increased coverage, formality, and integration, and their use for annotation is increasingly becoming a focus of both effort by biomedical experts and application of automated annotation procedures to create corpora of higher quality and completeness than are currently available. Given that semantic similarity measures are directly dependent on these evolutions, we can expect to see them gaining more relevance and even becoming as essential as sequence similarity is today in biomedical research.

  11. Semantic similarity in biomedical ontologies.

    Science.gov (United States)

    Pesquita, Catia; Faria, Daniel; Falcão, André O; Lord, Phillip; Couto, Francisco M

    2009-07-01

    In recent years, ontologies have become a mainstream topic in biomedical research. When biological entities are described using a common schema, such as an ontology, they can be compared by means of their annotations. This type of comparison is called semantic similarity, since it assesses the degree of relatedness between two entities by the similarity in meaning of their annotations. The application of semantic similarity to biomedical ontologies is recent; nevertheless, several studies have been published in the last few years describing and evaluating diverse approaches. Semantic similarity has become a valuable tool for validating the results drawn from biomedical studies such as gene clustering, gene expression data analysis, prediction and validation of molecular interactions, and disease gene prioritization. We review semantic similarity measures applied to biomedical ontologies and propose their classification according to the strategies they employ: node-based versus edge-based and pairwise versus groupwise. We also present comparative assessment studies and discuss the implications of their results. We survey the existing implementations of semantic similarity measures, and we describe examples of applications to biomedical research. This will clarify how biomedical researchers can benefit from semantic similarity measures and help them choose the approach most suitable for their studies.Biomedical ontologies are evolving toward increased coverage, formality, and integration, and their use for annotation is increasingly becoming a focus of both effort by biomedical experts and application of automated annotation procedures to create corpora of higher quality and completeness than are currently available. Given that semantic similarity measures are directly dependent on these evolutions, we can expect to see them gaining more relevance and even becoming as essential as sequence similarity is today in biomedical research.

  12. National Space Biomedical Research Institute

    Science.gov (United States)

    2003-01-01

    In June 1996, NASA released a Cooperative Agreement Notice (CAN) inviting proposals to establish a National Space Biomedical Research Institute (9-CAN-96-01). This CAN stated that: The Mission of the Institute will be to lead a National effort for accomplishing the integrated, critical path, biomedical research necessary to support the long term human presence, development, and exploration of space and to enhance life on Earth by applying the resultant advances in human knowledge and technology acquired through living and working in space. The Institute will be the focal point of NASA sponsored space biomedical research. This statement has not been amended by NASA and remains the mission of the NSBRI.

  13. The search for relevant outcome measures for cost-utility analysis of systemic family interventions in adolescents with substance use disorder and delinquent behavior: a systematic literature review.

    Science.gov (United States)

    Schawo, S; Bouwmans, C; van der Schee, E; Hendriks, V; Brouwer, W; Hakkaart, L

    2017-09-19

    Systemic family interventions have shown to be effective in adolescents with substance use disorder and delinquent behavior. The interventions target interactions between the adolescent and involved systems (i.e. youth, family, peers, neighbors, school, work, and society). Next to effectiveness considerations, economic aspects have gained attention. However, conventional generic quality of life measures used in health economic evaluations may not be able to capture the broad effects of systemic interventions. This study aims to identify existing outcome measures, which capture the broad effects of systemic family interventions, and allow use in a health economic framework. We based our systematic review on clinical studies in the field. Our goal was to identify effectiveness studies of psychosocial interventions for adolescents with substance use disorder and delinquent behavior and to distill the instruments used in these studies to measure effects. Searched databases were PubMed, Education Resource Information Center (ERIC), Cochrane and Psychnet (PsycBOOKSc, PsycCRITIQUES, print). Identified instruments were ranked according to the number of systems covered (comprehensiveness). In addition, their use for health economic analyses was evaluated according to suitability characteristics such as brevity, accessibility, psychometric properties, etc. One thousand three hundred seventy-eight articles were found and screened for eligibility. Eighty articles were selected, 8 instruments were identified covering 5 or more systems. The systematic review identified instruments from the clinical field suitable to evaluate systemic family interventions in a health economic framework. None of them had preference-weights available. Hence, a next step could be to attach preference-weights to one of the identified instruments to allow health economic evaluations of systemic family interventions.

  14. Pharmacovigilance and Biomedical Informatics: A Model for Future Development.

    Science.gov (United States)

    Beninger, Paul; Ibara, Michael A

    2016-12-01

    The discipline of pharmacovigilance is rooted in the aftermath of the thalidomide tragedy of 1961. It has evolved as a result of collaborative efforts by many individuals and organizations, including physicians, patients, Health Authorities, universities, industry, the World Health Organization, the Council for International Organizations of Medical Sciences, and the International Conference on Harmonisation. Biomedical informatics is rooted in technologically based methodologies and has evolved at the speed of computer technology. The purpose of this review is to bring a novel lens to pharmacovigilance, looking at the evolution and development of the field of pharmacovigilance from the perspective of biomedical informatics, with the explicit goal of providing a foundation for discussion of the future direction of pharmacovigilance as a discipline. For this review, we searched [publication trend for the log 10 value of the numbers of publications identified in PubMed] using the key words [informatics (INF), pharmacovigilance (PV), phar-macovigilance þ informatics (PV þ INF)], for [study types] articles published between [1994-2015]. We manually searched the reference lists of identified articles for additional information. Biomedical informatics has made significant contributions to the infrastructural development of pharmacovigilance. However, there has not otherwise been a systematic assessment of the role of biomedical informatics in enhancing the field of pharmacovigilance, and there has been little cross-discipline scholarship. Rapidly developing innovations in biomedical informatics pose a challenge to pharmacovigilance in finding ways to include new sources of safety information, including social media, massively linked databases, and mobile and wearable wellness applications and sensors. With biomedical informatics as a lens, it is evident that certain aspects of pharmacovigilance are evolving more slowly. However, the high levels of mutual interest in

  15. Molecular Biomedical Imaging Laboratory (MBIL)

    Data.gov (United States)

    Federal Laboratory Consortium — The Molecular Biomedical Imaging Laboratory (MBIL) is adjacent-a nd has access-to the Department of Radiology and Imaging Sciences clinical imaging facilities. MBIL...

  16. Functionalized carbon nanotubes: biomedical applications

    Science.gov (United States)

    Vardharajula, Sandhya; Ali, Sk Z; Tiwari, Pooja M; Eroğlu, Erdal; Vig, Komal; Dennis, Vida A; Singh, Shree R

    2012-01-01

    Carbon nanotubes (CNTs) are emerging as novel nanomaterials for various biomedical applications. CNTs can be used to deliver a variety of therapeutic agents, including biomolecules, to the target disease sites. In addition, their unparalleled optical and electrical properties make them excellent candidates for bioimaging and other biomedical applications. However, the high cytotoxicity of CNTs limits their use in humans and many biological systems. The biocompatibility and low cytotoxicity of CNTs are attributed to size, dose, duration, testing systems, and surface functionalization. The functionalization of CNTs improves their solubility and biocompatibility and alters their cellular interaction pathways, resulting in much-reduced cytotoxic effects. Functionalized CNTs are promising novel materials for a variety of biomedical applications. These potential applications are particularly enhanced by their ability to penetrate biological membranes with relatively low cytotoxicity. This review is directed towards the overview of CNTs and their functionalization for biomedical applications with minimal cytotoxicity. PMID:23091380

  17. Bio-medical CMOS ICs

    CERN Document Server

    Yoo, Hoi-Jun

    2011-01-01

    This book is based on a graduate course entitled, Ubiquitous Healthcare Circuits and Systems, that was given by one of the editors. It includes an introduction and overview to biomedical ICs and provides information on the current trends in research.

  18. Summer Biomedical Engineering Institute 1972

    Science.gov (United States)

    Deloatch, E. M.

    1973-01-01

    The five problems studied for biomedical applications of NASA technology are reported. The studies reported are: design modification of electrophoretic equipment, operating room environment control, hematological viscometry, handling system for iridium, and indirect blood pressure measuring device.

  19. New Directions for Biomedical Engineering

    Science.gov (United States)

    Plonsey, Robert

    1973-01-01

    Discusses the definition of "biomedical engineering" and the development of educational programs in the field. Includes detailed descriptions of the roles of bioengineers, medical engineers, and chemical engineers. (CC)

  20. Evolution of Modularity Literature

    DEFF Research Database (Denmark)

    Frandsen, Thomas

    2017-01-01

    Purpose The purpose of this paper is to review and analyze the modularity literature to identify the established and emerging perspectives. Design/methodology/approach A systematic literature search and review was conducted through the use of bibliometrics and network analysis. The analysis ident...

  1. Urananite leaching: literature survey

    International Nuclear Information System (INIS)

    Grisham, G.F.; Bryant, E.A.; Williams, K.E.

    1979-04-01

    A literature survey was undertaken to provide background materials for a series of experiments involving the interaction of spent uranium dioxide fuel with various environments. Notes and references pertaining to the basic properties of UO 2 as produced and after reactor exposure are presented. The use of computerized literature searches is illustrated with specific topics related to leaching experiments. 57 references

  2. Urananite leaching: literature survey

    Energy Technology Data Exchange (ETDEWEB)

    Grisham, G.F.; Bryant, E.A.; Williams, K.E.

    1979-04-01

    A literature survey was undertaken to provide background materials for a series of experiments involving the interaction of spent uranium dioxide fuel with various environments. Notes and references pertaining to the basic properties of UO/sub 2/ as produced and after reactor exposure are presented. The use of computerized literature searches is illustrated with specific topics related to leaching experiments. 57 references.

  3. Improve Biomedical Information Retrieval using Modified Learning to Rank Methods.

    Science.gov (United States)

    Xu, Bo; Lin, Hongfei; Lin, Yuan; Ma, Yunlong; Yang, Liang; Wang, Jian; Yang, Zhihao

    2016-06-14

    In these years, the number of biomedical articles has increased exponentially, which becomes a problem for biologists to capture all the needed information manually. Information retrieval technologies, as the core of search engines, can deal with the problem automatically, providing users with the needed information. However, it is a great challenge to apply these technologies directly for biomedical retrieval, because of the abundance of domain specific terminologies. To enhance biomedical retrieval, we propose a novel framework based on learning to rank. Learning to rank is a series of state-of-the-art information retrieval techniques, and has been proved effective in many information retrieval tasks. In the proposed framework, we attempt to tackle the problem of the abundance of terminologies by constructing ranking models, which focus on not only retrieving the most relevant documents, but also diversifying the searching results to increase the completeness of the resulting list for a given query. In the model training, we propose two novel document labeling strategies, and combine several traditional retrieval models as learning features. Besides, we also investigate the usefulness of different learning to rank approaches in our framework. Experimental results on TREC Genomics datasets demonstrate the effectiveness of our framework for biomedical information retrieval.

  4. [Scientometrics and bibliometrics of biomedical engineering periodicals and papers].

    Science.gov (United States)

    Zhao, Ping; Xu, Ping; Li, Bingyan; Wang, Zhengrong

    2003-09-01

    This investigation was made to reveal the current status, research trend and research level of biomedical engineering in Chinese mainland by means of scientometrics and to assess the quality of the four domestic publications by bibliometrics. We identified all articles of four related publications by searching Chinese and foreign databases from 1997 to 2001. All articles collected or cited by these databases were searched and statistically analyzed for finding out the relevant distributions, including databases, years, authors, institutions, subject headings and subheadings. The source of sustentation funds and the related articles were analyzed too. The results showed that two journals were cited by two foreign databases and five Chinese databases simultaneously. The output of Journal of Biomedical Engineering was the highest. Its quantity of original papers cited by EI, CA and the totality of papers sponsored by funds were higher than those of the others, but the quantity and percentage per year of biomedical articles cited by EI were decreased in all. Inland core authors and institutions had come into being in the field of biomedical engineering. Their research topics were mainly concentrated on ten subject headings which included biocompatible materials, computer-assisted signal processing, electrocardiography, computer-assisted image processing, biomechanics, algorithms, electroencephalography, automatic data processing, mechanical stress, hemodynamics, mathematical computing, microcomputers, theoretical models, etc. The main subheadings were concentrated on instrumentation, physiopathology, diagnosis, therapy, ultrasonography, physiology, analysis, surgery, pathology, method, etc.

  5. Hydroxyapatite coatings for biomedical applications

    CERN Document Server

    Zhang, Sam

    2013-01-01

    Hydroxyapatite coatings are of great importance in the biological and biomedical coatings fields, especially in the current era of nanotechnology and bioapplications. With a bonelike structure that promotes osseointegration, hydroxyapatite coating can be applied to otherwise bioinactive implants to make their surface bioactive, thus achieving faster healing and recovery. In addition to applications in orthopedic and dental implants, this coating can also be used in drug delivery. Hydroxyapatite Coatings for Biomedical Applications explores developments in the processing and property characteri

  6. Semantic Similarity in Biomedical Ontologies

    OpenAIRE

    Pesquita, Catia; Faria, Daniel; Falc?o, Andr? O.; Lord, Phillip; Couto, Francisco M.

    2009-01-01

    In recent years, ontologies have become a mainstream topic in biomedical research. When biological entities are described using a common schema, such as an ontology, they can be compared by means of their annotations. This type of comparison is called semantic similarity, since it assesses the degree of relatedness between two entities by the similarity in meaning of their annotations. The application of semantic similarity to biomedical ontologies is recent; nevertheless, several studies hav...

  7. BIMS: Biomedical Information Management System

    OpenAIRE

    Mora Pérez, Oscar

    2009-01-01

    This final year project presents the design principles and prototype implementation of BIMS (Biomedical Information Management System), a flexible software system which provides an infrastructure to manage all information required by biomedical research projects.The BIMS project was initiated with the motivation to solve several limitations in medical data acquisition of some research projects, in which Universitat Pompeu Fabra takes part. These limitations,based on the lack of control mechan...

  8. John Glenn Biomedical Engineering Consortium

    Science.gov (United States)

    Nall, Marsha

    2004-01-01

    The John Glenn Biomedical Engineering Consortium is an inter-institutional research and technology development, beginning with ten projects in FY02 that are aimed at applying GRC expertise in fluid physics and sensor development with local biomedical expertise to mitigate the risks of space flight on the health, safety, and performance of astronauts. It is anticipated that several new technologies will be developed that are applicable to both medical needs in space and on earth.

  9. Modified chitosans for biomedical applications

    OpenAIRE

    Yalınca, Zülal

    2013-01-01

    ABSTRACT: The subject of this thesis is the exploration of the suitability of chitosan and some of its derivatives for some chosen biomedical applications. Chitosan-graft-poly (N-vinyl imidazole), Chitosan-tripolyphosphate and ascorbyl chitosan were synthesized and characterized for specific biomedical applications in line with their chemical functionalities. Chitosan-graft-poly (N-vinyl imidazole), Chi-graft-PNVI, was synthesized by two methods; via an N-protection route and without N-pr...

  10. Pathophysiologic mechanisms of biomedical nanomaterials

    International Nuclear Information System (INIS)

    Wang, Liming; Chen, Chunying

    2016-01-01

    Nanomaterials (NMs) have been widespread used in biomedical fields, daily consuming, and even food industry. It is crucial to understand the safety and biomedical efficacy of NMs. In this review, we summarized the recent progress about the physiological and pathological effects of NMs from several levels: protein-nano interface, NM-subcellular structures, and cell–cell interaction. We focused on the detailed information of nano-bio interaction, especially about protein adsorption, intracellular trafficking, biological barriers, and signaling pathways as well as the associated mechanism mediated by nanomaterials. We also introduced related analytical methods that are meaningful and helpful for biomedical effect studies in the future. We believe that knowledge about pathophysiologic effects of NMs is not only significant for rational design of medical NMs but also helps predict their safety and further improve their applications in the future. - Highlights: • Rapid protein adsorption onto nanomaterials that affects biomedical effects • Nanomaterials and their interaction with biological membrane, intracellular trafficking and specific cellular effects • Nanomaterials and their interaction with biological barriers • The signaling pathways mediated by nanomaterials and related biomedical effects • Novel techniques for studying translocation and biomedical effects of NMs

  11. OvidSP Medline-to-PubMed search filter translation: a methodology for extending search filter range to include PubMed's unique content.

    Science.gov (United States)

    Damarell, Raechel A; Tieman, Jennifer J; Sladek, Ruth M

    2013-07-02

    PubMed translations of OvidSP Medline search filters offer searchers improved ease of access. They may also facilitate access to PubMed's unique content, including citations for the most recently published biomedical evidence. Retrieving this content requires a search strategy comprising natural language terms ('textwords'), rather than Medical Subject Headings (MeSH). We describe a reproducible methodology that uses a validated PubMed search filter translation to create a textword-only strategy to extend retrieval to PubMed's unique heart failure literature. We translated an OvidSP Medline heart failure search filter for PubMed and established version equivalence in terms of indexed literature retrieval. The PubMed version was then run within PubMed to identify citations retrieved by the filter's MeSH terms (Heart failure, Left ventricular dysfunction, and Cardiomyopathy). It was then rerun with the same MeSH terms restricted to searching on title and abstract fields (i.e. as 'textwords'). Citations retrieved by the MeSH search but not the textword search were isolated. Frequency analysis of their titles/abstracts identified natural language alternatives for those MeSH terms that performed less effectively as textwords. These terms were tested in combination to determine the best performing search string for reclaiming this 'lost set'. This string, restricted to searching on PubMed's unique content, was then combined with the validated PubMed translation to extend the filter's performance in this database. The PubMed heart failure filter retrieved 6829 citations. Of these, 834 (12%) failed to be retrieved when MeSH terms were converted to textwords. Frequency analysis of the 834 citations identified five high frequency natural language alternatives that could improve retrieval of this set (cardiac failure, cardiac resynchronization, left ventricular systolic dysfunction, left ventricular diastolic dysfunction, and LV dysfunction). Together these terms reclaimed

  12. Random searching

    International Nuclear Information System (INIS)

    Shlesinger, Michael F

    2009-01-01

    There are a wide variety of searching problems from molecules seeking receptor sites to predators seeking prey. The optimal search strategy can depend on constraints on time, energy, supplies or other variables. We discuss a number of cases and especially remark on the usefulness of Levy walk search patterns when the targets of the search are scarce.

  13. Search Patterns

    CERN Document Server

    Morville, Peter

    2010-01-01

    What people are saying about Search Patterns "Search Patterns is a delight to read -- very thoughtful and thought provoking. It's the most comprehensive survey of designing effective search experiences I've seen." --Irene Au, Director of User Experience, Google "I love this book! Thanks to Peter and Jeffery, I now know that search (yes, boring old yucky who cares search) is one of the coolest ways around of looking at the world." --Dan Roam, author, The Back of the Napkin (Portfolio Hardcover) "Search Patterns is a playful guide to the practical concerns of search interface design. It cont

  14. Mediastinitis in cardiac surgery: A review of the literature | Kunal ...

    African Journals Online (AJOL)

    International Journal of Medicine and Biomedical Research. Journal Home · ABOUT THIS JOURNAL · Advanced Search · Current Issue · Archives · Journal Home > Vol 1, No 2 (2012) >. Log in or Register to get access to full text downloads.

  15. Comparing image search behaviour in the ARRS GoldMiner search engine and a clinical PACS/RIS.

    Science.gov (United States)

    De-Arteaga, Maria; Eggel, Ivan; Do, Bao; Rubin, Daniel; Kahn, Charles E; Müller, Henning

    2015-08-01

    Information search has changed the way we manage knowledge and the ubiquity of information access has made search a frequent activity, whether via Internet search engines or increasingly via mobile devices. Medical information search is in this respect no different and much research has been devoted to analyzing the way in which physicians aim to access information. Medical image search is a much smaller domain but has gained much attention as it has different characteristics than search for text documents. While web search log files have been analysed many times to better understand user behaviour, the log files of hospital internal systems for search in a PACS/RIS (Picture Archival and Communication System, Radiology Information System) have rarely been analysed. Such a comparison between a hospital PACS/RIS search and a web system for searching images of the biomedical literature is the goal of this paper. Objectives are to identify similarities and differences in search behaviour of the two systems, which could then be used to optimize existing systems and build new search engines. Log files of the ARRS GoldMiner medical image search engine (freely accessible on the Internet) containing 222,005 queries, and log files of Stanford's internal PACS/RIS search called radTF containing 18,068 queries were analysed. Each query was preprocessed and all query terms were mapped to the RadLex (Radiology Lexicon) terminology, a comprehensive lexicon of radiology terms created and maintained by the Radiological Society of North America, so the semantic content in the queries and the links between terms could be analysed, and synonyms for the same concept could be detected. RadLex was mainly created for the use in radiology reports, to aid structured reporting and the preparation of educational material (Lanlotz, 2006) [1]. In standard medical vocabularies such as MeSH (Medical Subject Headings) and UMLS (Unified Medical Language System) specific terms of radiology are often

  16. [Master course in biomedical engineering].

    Science.gov (United States)

    Jobbágy, Akos; Benyó, Zoltán; Monos, Emil

    2009-11-22

    The Bologna Declaration aims at harmonizing the European higher education structure. In accordance with the Declaration, biomedical engineering will be offered as a master (MSc) course also in Hungary, from year 2009. Since 1995 biomedical engineering course has been held in cooperation of three universities: Semmelweis University, Budapest Veterinary University, and Budapest University of Technology and Economics. One of the latter's faculties, Faculty of Electrical Engineering and Informatics, has been responsible for the course. Students could start their biomedical engineering studies - usually in parallel with their first degree course - after they collected at least 180 ECTS credits. Consequently, the biomedical engineering course could have been considered as a master course even before the Bologna Declaration. Students had to collect 130 ECTS credits during the six-semester course. This is equivalent to four-semester full-time studies, because during the first three semesters the curriculum required to gain only one third of the usual ECTS credits. The paper gives a survey on the new biomedical engineering master course, briefly summing up also the subjects in the curriculum.

  17. Localization and Tracking of Implantable Biomedical Sensors

    Directory of Open Access Journals (Sweden)

    Ilknur Umay

    2017-03-01

    Full Text Available Implantable sensor systems are effective tools for biomedical diagnosis, visualization and treatment of various health conditions, attracting the interest of researchers, as well as healthcare practitioners. These systems efficiently and conveniently provide essential data of the body part being diagnosed, such as gastrointestinal (temperature, pH, pressure parameter values, blood glucose and pressure levels and electrocardiogram data. Such data are first transmitted from the implantable sensor units to an external receiver node or network and then to a central monitoring and control (computer unit for analysis, diagnosis and/or treatment. Implantable sensor units are typically in the form of mobile microrobotic capsules or implanted stationary (body-fixed units. In particular, capsule-based systems have attracted significant research interest recently, with a variety of applications, including endoscopy, microsurgery, drug delivery and biopsy. In such implantable sensor systems, one of the most challenging problems is the accurate localization and tracking of the microrobotic sensor unit (e.g., robotic capsule inside the human body. This article presents a literature review of the existing localization and tracking techniques for robotic implantable sensor systems with their merits and limitations and possible solutions of the proposed localization methods. The article also provides a brief discussion on the connection and cooperation of such techniques with wearable biomedical sensor systems.

  18. Globalizing and crowdsourcing biomedical research.

    Science.gov (United States)

    Afshinnekoo, Ebrahim; Ahsanuddin, Sofia; Mason, Christopher E

    2016-12-01

    Crowdfunding and crowdsourcing of medical research has emerged as a novel paradigm for many biomedical disciplines to rapidly collect, process and interpret data from high-throughput and high-dimensional experiments. The novelty and promise of these approaches have led to fundamental discoveries about RNA mechanisms, microbiome dynamics and even patient interpretation of test results. However, these methods require robust training protocols, uniform sampling methods and experimental rigor in order to be useful for subsequent research efforts. Executed correctly, crowdfunding and crowdsourcing can leverage public resources and engagement to generate support for scientific endeavors that would otherwise be impossible due to funding constraints and or the large number of participants needed for data collection. We conducted a comprehensive literature review of scientific studies that utilized crowdsourcing and crowdfunding to generate data. We also discuss our own experiences conducting citizen-science research initiatives (MetaSUB and PathoMap) in ensuring data robustness, educational outreach and public engagement. We demonstrate the efficacy of crowdsourcing mechanisms for revolutionizing microbiome and metagenomic research to better elucidate the microbial and genetic dynamics of cities around the world (as well as non-urban areas). Crowdsourced studies have been able to create an improved and unprecedented ability to monitor, design and measure changes at the microbial and macroscopic scale. Thus, the use of crowdsourcing strategies has dramatically altered certain genomics research to create global citizen-science initiatives that reveal new discoveries about the world's genetic dynamics. The effectiveness of crowdfunding and crowdsourcing is largely dependent on the study design and methodology. One point of contention for the present discussion is the validity and scientific rigor of data that are generated by non-scientists. Selection bias, limited sample

  19. Biomedical Risk Factors of Achilles Tendinopathy in Physically Active People: a Systematic Review.

    Science.gov (United States)

    Kozlovskaia, Maria; Vlahovich, Nicole; Ashton, Kevin J; Hughes, David C

    2017-12-01

    Achilles tendinopathy is the most prevalent tendon disorder in people engaged in running and jumping sports. Aetiology of Achilles tendinopathy is complex and requires comprehensive research of contributing risk factors. There is relatively little research focussing on potential biomedical risk factors for Achilles tendinopathy. The purpose of this systematic review is to identify studies and summarise current knowledge of biomedical risk factors of Achilles tendinopathy in physically active people. Research databases were searched for relevant articles followed by assessment in accordance with PRISMA statement and standards of Cochrane collaboration. Levels of evidence and quality assessment designation were implemented in accordance with OCEBM levels of evidence and Newcastle-Ottawa Quality Assessment Scale, respectively. A systematic review of the literature identified 22 suitable articles. All included studies had moderate level of evidence (2b) with the Newcastle-Ottawa score varying between 6 and 9. The majority (17) investigated genetic polymorphisms involved in tendon structure and homeostasis and apoptosis and inflammation pathways. Overweight as a risk factor of Achilles tendinopathy was described in five included studies that investigated non-genetic factors. COL5A1 genetic variants were the most extensively studied, particularly in association with genetic variants in the genes involved in regulation of cell-matrix interaction in tendon and matrix homeostasis. It is important to investigate connections and pathways whose interactions might be disrupted and therefore alter collagen structure and lead to the development of pathology. Polymorphisms in genes involved in apoptosis and inflammation, and Achilles tendinopathy did not show strong association and, however, should be considered for further investigation. This systematic review suggests that biomedical risk factors are an important consideration in the future study of propensity to the development

  20. The Aotus nancymaae erythrocyte proteome and its importance for biomedical research.

    Science.gov (United States)

    Moreno-Pérez, D A; García-Valiente, R; Ibarrola, N; Muro, A; Patarroyo, M A

    2017-01-30

    The Aotus nancymaae species has been of great importance in researching the biology and pathogenesis of malaria, particularly for studying Plasmodium molecules for including them in effective vaccines against such microorganism. In spite of the forgoing, there has been no report to date describing the biology of parasite target cells in primates or their biomedical importance. This study was thus designed to analyse A. nancymaae erythrocyte protein composition using MS data collected during a previous study aimed at characterising the Plasmodium vivax proteome and published in the pertinent literature. Most peptides identified were similar to those belonging to 1189 Homo sapiens molecules; >95% of them had orthologues in New World primates. GO terms revealed a correlation between categories having the greatest amount of proteins and vital cell function. Integral membrane molecules were also identified which could be possible receptors facilitating interaction with Plasmodium species. The A. nancymaae erythrocyte proteome is described here for the first time, as a starting point for more in-depth/extensive studies. The data reported represents a source of invaluable information for laboratories interested in carrying out basic and applied biomedical investigation studies which involve using this primate. An understanding of the proteomics characteristics of A. nancymaae erythrocytes represents a fascinating area for research regarding the study of the pathogenesis of malaria since these are the main target for Plasmodium invasion. However, and even though Aotus is one of the non-human primate models considered most appropriate for biomedical research, knowledge of its proteome, particularly its erythrocytes, remains unknown. According to the above and bearing in mind the lack of information about the A. nancymaae species genome and transcriptome, this study involved a search for primate proteins for comparing their MS/MS spectra with the available information for

  1. Ontology-based Brucella vaccine literature indexing and systematic analysis of gene-vaccine association network.

    Science.gov (United States)

    Hur, Junguk; Xiang, Zuoshuang; Feldman, Eva L; He, Yongqun

    2011-08-26

    Vaccine literature indexing is poorly performed in PubMed due to limited hierarchy of Medical Subject Headings (MeSH) annotation in the vaccine field. Vaccine Ontology (VO) is a community-based biomedical ontology that represents various vaccines and their relations. SciMiner is an in-house literature mining system that supports literature indexing and gene name tagging. We hypothesize that application of VO in SciMiner will aid vaccine literature indexing and mining of vaccine-gene interaction networks. As a test case, we have examined vaccines for Brucella, the causative agent of brucellosis in humans and animals. The VO-based SciMiner (VO-SciMiner) was developed to incorporate a total of 67 Brucella vaccine terms. A set of rules for term expansion of VO terms were learned from training data, consisting of 90 biomedical articles related to Brucella vaccine terms. VO-SciMiner demonstrated high recall (91%) and precision (99%) from testing a separate set of 100 manually selected biomedical articles. VO-SciMiner indexing exhibited superior performance in retrieving Brucella vaccine-related papers over that obtained with MeSH-based PubMed literature search. For example, a VO-SciMiner search of "live attenuated Brucella vaccine" returned 922 hits as of April 20, 2011, while a PubMed search of the same query resulted in only 74 hits. Using the abstracts of 14,947 Brucella-related papers, VO-SciMiner identified 140 Brucella genes associated with Brucella vaccines. These genes included known protective antigens, virulence factors, and genes closely related to Brucella vaccines. These VO-interacting Brucella genes were significantly over-represented in biological functional categories, including metabolite transport and metabolism, replication and repair, cell wall biogenesis, intracellular trafficking and secretion, posttranslational modification, and chaperones. Furthermore, a comprehensive interaction network of Brucella vaccines and genes were identified. The asserted

  2. Ontology-based Brucella vaccine literature indexing and systematic analysis of gene-vaccine association network

    Science.gov (United States)

    2011-01-01

    Background Vaccine literature indexing is poorly performed in PubMed due to limited hierarchy of Medical Subject Headings (MeSH) annotation in the vaccine field. Vaccine Ontology (VO) is a community-based biomedical ontology that represents various vaccines and their relations. SciMiner is an in-house literature mining system that supports literature indexing and gene name tagging. We hypothesize that application of VO in SciMiner will aid vaccine literature indexing and mining of vaccine-gene interaction networks. As a test case, we have examined vaccines for Brucella, the causative agent of brucellosis in humans and animals. Results The VO-based SciMiner (VO-SciMiner) was developed to incorporate a total of 67 Brucella vaccine terms. A set of rules for term expansion of VO terms were learned from training data, consisting of 90 biomedical articles related to Brucella vaccine terms. VO-SciMiner demonstrated high recall (91%) and precision (99%) from testing a separate set of 100 manually selected biomedical articles. VO-SciMiner indexing exhibited superior performance in retrieving Brucella vaccine-related papers over that obtained with MeSH-based PubMed literature search. For example, a VO-SciMiner search of "live attenuated Brucella vaccine" returned 922 hits as of April 20, 2011, while a PubMed search of the same query resulted in only 74 hits. Using the abstracts of 14,947 Brucella-related papers, VO-SciMiner identified 140 Brucella genes associated with Brucella vaccines. These genes included known protective antigens, virulence factors, and genes closely related to Brucella vaccines. These VO-interacting Brucella genes were significantly over-represented in biological functional categories, including metabolite transport and metabolism, replication and repair, cell wall biogenesis, intracellular trafficking and secretion, posttranslational modification, and chaperones. Furthermore, a comprehensive interaction network of Brucella vaccines and genes were

  3. Innovations in Biomedical Engineering 2016

    CERN Document Server

    Tkacz, Ewaryst; Paszenda, Zbigniew; Piętka, Ewa

    2017-01-01

    This book presents the proceedings of the “Innovations in Biomedical Engineering IBE’2016” Conference held on October 16–18, 2016 in Poland, discussing recent research on innovations in biomedical engineering. The past decade has seen the dynamic development of more and more sophisticated technologies, including biotechnologies, and more general technologies applied in the area of life sciences. As such the book covers the broadest possible spectrum of subjects related to biomedical engineering innovations. Divided into four parts, it presents state-of-the-art achievements in: • engineering of biomaterials, • modelling and simulations in biomechanics, • informatics in medicine • signal analysis The book helps bridge the gap between technological and methodological engineering achievements on the one hand and clinical requirements in the three major areas diagnosis, therapy and rehabilitation on the other.

  4. Biomedical applications of magnetic particles

    CERN Document Server

    Mefford, Thompson

    2017-01-01

    Magnetic particles are increasingly being used in a wide variety of biomedical applications. Written by a team of internationally respected experts, this book provides an up-to-date authoritative reference for scientists and engineers. The first section presents the fundamentals of the field by explaining the theory of magnetism, describing techniques to synthesize magnetic particles, and detailing methods to characterize magnetic particles. The second section describes biomedical applications, including chemical sensors and cellular actuators, and diagnostic applications such as drug delivery, hyperthermia cancer treatment, and magnetic resonance imaging contrast.

  5. Biomedical applications of magnetic particles

    CERN Document Server

    Mefford, Thompson

    2018-01-01

    Magnetic particles are increasingly being used in a wide variety of biomedical applications. Written by a team of internationally respected experts, this book provides an up-to-date authoritative reference for scientists and engineers. The first section presents the fundamentals of the field by explaining the theory of magnetism, describing techniques to synthesize magnetic particles, and detailing methods to characterize magnetic particles. The second section describes biomedical applications, including chemical sensors and cellular actuators, and diagnostic applications such as drug delivery, hyperthermia cancer treatment, and magnetic resonance imaging contrast.

  6. Biomedical Imaging Principles and Applications

    CERN Document Server

    Salzer, Reiner

    2012-01-01

    This book presents and describes imaging technologies that can be used to study chemical processes and structural interactions in dynamic systems, principally in biomedical systems. The imaging technologies, largely biomedical imaging technologies such as MRT, Fluorescence mapping, raman mapping, nanoESCA, and CARS microscopy, have been selected according to their application range and to the chemical information content of their data. These technologies allow for the analysis and evaluation of delicate biological samples, which must not be disturbed during the profess. Ultimately, this may me

  7. Transportation vision search conference and literature review

    International Nuclear Information System (INIS)

    Vanderwagen, J.

    1995-11-01

    The economic dependence on the use of cars or trucks and land use planning was discussed at a conference held on June 3-4, 1995, to bring together decision makers and diverse stakeholders to develop a shared vision for reducing CO 2 emissions from the transportation sector in Ontario. This report attempted to summarize the plenary presentations for each of the steps of the conference (.i.e., the desirable future; constraints and opportunities; and action planning). It was pointed out that choices for alternative forms of travel are not as attractive to the public as travelling by car, therefore automotive fuels remain a significant contributor to CO 2 emissions. One of the recommendation made was to redesign cities and communities that are bike and walking friendly and auto unfriendly. Communities in the United States and Europe which have followed this example were described. Another frequently voiced suggestion was that the rail system should be encouraged as a form of internodal transportation. It was also suggested that rural transportation systems should be designed to support the rural community and rural economy, not commuter travel to urban centres, or reverse commuting to factories in the middle of nowhere. refs., tabs., figs

  8. Critical Infrastructure References: Documented Literature Search

    Science.gov (United States)

    2012-10-01

    renseignements bibliographiques, des résumés et des descriptions de contenu. En outre, les références sont classées dans les catégories suivantes...principale a cherché et lu des références sur les IE, puis a consigné les renseignements bibliographiques et les renseignements sur le contenu. De plus...document fournit des renseignements bibliographiques, des résumés (s’il y a lieu) et des descriptions de contenu pour chacune des références. En outre

  9. Risk Assessment References: Documented Literature Search

    Science.gov (United States)

    2012-10-01

    Sullivan of the Insurance Council of Australia, Ryan Crompton and John McAneney, Dr. Kevin Tolhurst, Brett Shields, Derek Chong Organization...Author(s): Jeanne Fair, Dennis Powell, Rene Le Claire, Leslie Moore, Michael Wilson, Lori Dauelsberg, Michael Samsa, Gary Hirsch, Brian Bush

  10. Beyond Keyword Search: Discovering Relevant Scientific Literature

    Science.gov (United States)

    2011-06-01

    of prion protein does not enable prion replication in prion protein knockout mice 2001 98 4034-4037 9467 Plasma nitrite rather than nitrate reflects...modulates the activation of defense signaling pathways in plants 2001 98 9448-9453 10693 Scrapie prion protein accumulation by scrapie-infected...neuroblastoma cells abrogated by exposure to a prion protein antibody 2001 98 9295-9299 10844 Neuroglobin is up-regulated by and protects neurons from hypoxic

  11. Personalized Search

    CERN Document Server

    AUTHOR|(SzGeCERN)749939

    2015-01-01

    As the volume of electronically available information grows, relevant items become harder to find. This work presents an approach to personalizing search results in scientific publication databases. This work focuses on re-ranking search results from existing search engines like Solr or ElasticSearch. This work also includes the development of Obelix, a new recommendation system used to re-rank search results. The project was proposed and performed at CERN, using the scientific publications available on the CERN Document Server (CDS). This work experiments with re-ranking using offline and online evaluation of users and documents in CDS. The experiments conclude that the personalized search result outperform both latest first and word similarity in terms of click position in the search result for global search in CDS.

  12. Bruxism and genetics: a review of the literature.

    Science.gov (United States)

    Lobbezoo, F; Visscher, C M; Ahlberg, J; Manfredini, D

    2014-09-01

    People who suffer from bruxism (teeth-grinding) often ask their dentists whether their condition is hereditary. The purpose of this study is to enable dentists to provide an 'evidence-based' answer to this question. The biomedical literature was searched using PubMed, and 32 publications were identified, of which nine proved relevant to the research question. The references cited by the publications identified yielded one further publication, bringing the total number of publications included in the analysis to 10. Four publications related to family studies, five related to twin studies and one related to a DNA analysis. With the exception of one of the twin studies, all the included studies concluded that bruxism appears to be (in part) genetically determined. Dentists whose patients ask them about bruxism can therefore tell them that teeth-grinding does indeed 'run in families'. © 2014 John Wiley & Sons Ltd.

  13. [The Open Access Initiative (OAI) in the scientific literature].

    Science.gov (United States)

    Sánchez-Martín, Francisco M; Millán Rodríguez, Félix; Villavicencio Mavrich, Humberto

    2009-01-01

    According to the declaration of the Budapest Open Access Initiative (OAI) is defined as a editorial model in which access to scientific journal literature and his use are free. Free flow of information allowed by Internet has been the basis of this initiative. The Bethesda and the Berlin declarations, supported by some international agencies, proposes to require researchers to deposit copies of all articles published in a self-archive or an Open Access repository, and encourage researchers to publish their research papers in journals Open Access. This paper reviews the keys of the OAI, with their strengths and controversial aspects; and it discusses the position of databases, search engines and repositories of biomedical information, as well as the attitude of the scientists, publishers and journals. So far the journal Actas Urológicas Españolas (Act Urol Esp) offer their contents on Open Access as On Line in Spanish and English.

  14. Biomedical engineering education in developing countries: research synthesis.

    Science.gov (United States)

    Douglas, Tania S

    2011-01-01

    Biomedical engineering (BME) contributes to development through improving human health. This paper examines BME education to address the needs of developing countries. Components of different BME programs described in the literature are synthesized to represent what has been proposed or implemented for the production of graduates able to address health problems in a manner suited to the local environment in which they occur. Published research on BME education is reviewed with reference to problem context, interventions and their mechanisms, and intended outcomes.

  15. PhysiomeSpace: digital library service for biomedical data.

    Science.gov (United States)

    Testi, Debora; Quadrani, Paolo; Viceconti, Marco

    2010-06-28

    Every research laboratory has a wealth of biomedical data locked up, which, if shared with other experts, could dramatically improve biomedical and healthcare research. With the PhysiomeSpace service, it is now possible with a few clicks to share with selected users biomedical data in an easy, controlled and safe way. The digital library service is managed using a client-server approach. The client application is used to import, fuse and enrich the data information according to the PhysiomeSpace resource ontology and upload/download the data to the library. The server services are hosted on the Biomed Town community portal, where through a web interface, the user can complete the metadata curation and share and/or publish the data resources. A search service capitalizes on the domain ontology and on the enrichment of metadata for each resource, providing a powerful discovery environment. Once the users have found the data resources they are interested in, they can add them to their basket, following a metaphor popular in e-commerce web sites. When all the necessary resources have been selected, the user can download the basket contents into the client application. The digital library service is now in beta and open to the biomedical research community.

  16. Navigating the Path to a Biomedical Science Career

    Science.gov (United States)

    Zimmerman, Andrea McNeely

    The number of biomedical PhD scientists being trained and graduated far exceeds the number of academic faculty positions and academic research jobs. If this trend is compelling biomedical PhD scientists to increasingly seek career paths outside of academia, then more should be known about their intentions, desires, training experiences, and career path navigation. Therefore, the purpose of this study was to understand the process through which biomedical PhD scientists are trained and supported for navigating future career paths. In addition, the study sought to determine whether career development support efforts and opportunities should be redesigned to account for the proportion of PhD scientists following non-academic career pathways. Guided by the social cognitive career theory (SCCT) framework this study sought to answer the following central research question: How does a southeastern tier 1 research university train and support its biomedical PhD scientists for navigating their career paths? Key findings are: Many factors influence PhD scientists' career sector preference and job search process, but the most influential were relationships with faculty, particularly the mentor advisor; Planned activities are a significant aspect of the training process and provide skills for career success; and Planned activities provided skills necessary for a career, but influential factors directed the career path navigated. Implications for practice and future research are discussed.

  17. A systematic review of comparisons between protocols or registrations and full reports in primary biomedical research

    Directory of Open Access Journals (Sweden)

    Guowei Li

    2018-01-01

    Full Text Available Abstract Background Prospective study protocols and registrations can play a significant role in reducing incomplete or selective reporting of primary biomedical research, because they are pre-specified blueprints which are available for the evaluation of, and comparison with, full reports. However, inconsistencies between protocols or registrations and full reports have been frequently documented. In this systematic review, which forms part of our series on the state of reporting of primary biomedical, we aimed to survey the existing evidence of inconsistencies between protocols or registrations (i.e., what was planned to be done and/or what was actually done and full reports (i.e., what was reported in the literature; this was based on findings from systematic reviews and surveys in the literature. Methods Electronic databases, including CINAHL, MEDLINE, Web of Science, and EMBASE, were searched to identify eligible surveys and systematic reviews. Our primary outcome was the level of inconsistency (expressed as a percentage, with higher percentages indicating greater inconsistency between protocols or registration and full reports. We summarized the findings from the included systematic reviews and surveys qualitatively. Results There were 37 studies (33 surveys and 4 systematic reviews included in our analyses. Most studies (n = 36 compared protocols or registrations with full reports in clinical trials, while a single survey focused on primary studies of clinical trials and observational research. High inconsistency levels were found in outcome reporting (ranging from 14% to 100%, subgroup reporting (from 12% to 100%, statistical analyses (from 9% to 47%, and other measure comparisons. Some factors, such as outcomes with significant results, sponsorship, type of outcome and disease speciality were reported to be significantly related to inconsistent reporting. Conclusions We found that inconsistent reporting between protocols or

  18. Archives: Journal of Medical and Biomedical Sciences

    African Journals Online (AJOL)

    Items 1 - 20 of 20 ... Archives: Journal of Medical and Biomedical Sciences. Journal Home > Archives: Journal of Medical and Biomedical Sciences. Log in or Register to get access to full text downloads.

  19. Biomedical nanomaterials from design to implementation

    CERN Document Server

    Webster, Thomas

    2016-01-01

    Biomedical Nanomaterials brings together the engineering applications and challenges of using nanostructured surfaces and nanomaterials in healthcare in a single source. Each chapter covers important and new information in the biomedical applications of nanomaterials.

  20. Science gateways for biomedical big data analysis

    NARCIS (Netherlands)

    Shahand, S.

    2015-01-01

    Biomedical researchers are facing data deluge challenges such as dealing with large volume of complex heterogeneous data and complex and computationally demanding data processing methods. Such scale and complexity of biomedical research requires multi-disciplinary collaboration between scientists

  1. African Journal of Biomedical Research: Journal Sponsorship

    African Journals Online (AJOL)

    African Journal of Biomedical Research: Journal Sponsorship. Journal Home > About the Journal > African Journal of Biomedical Research: Journal Sponsorship. Log in or Register to get access to full text downloads.

  2. Archives: Journal of Medicine and Biomedical Research

    African Journals Online (AJOL)

    Items 1 - 19 of 19 ... Archives: Journal of Medicine and Biomedical Research. Journal Home > Archives: Journal of Medicine and Biomedical Research. Log in or Register to get access to full text downloads.

  3. Environmental/Biomedical Terminology Index

    International Nuclear Information System (INIS)

    Huffstetler, J.K.; Dailey, N.S.; Rickert, L.W.; Chilton, B.D.

    1976-12-01

    The Information Center Complex (ICC), a centrally administered group of information centers, provides information support to environmental and biomedical research groups and others within and outside Oak Ridge National Laboratory. In-house data base building and development of specialized document collections are important elements of the ongoing activities of these centers. ICC groups must be concerned with language which will adequately classify and insure retrievability of document records. Language control problems are compounded when the complexity of modern scientific problem solving demands an interdisciplinary approach. Although there are several word lists, indexes, and thesauri specific to various scientific disciplines usually grouped as Environmental Sciences, no single generally recognized authority can be used as a guide to the terminology of all environmental science. If biomedical terminology for the description of research on environmental effects is also needed, the problem becomes even more complex. The building of a word list which can be used as a general guide to the environmental/biomedical sciences has been a continuing activity of the Information Center Complex. This activity resulted in the publication of the Environmental Biomedical Terminology Index

  4. Shining Future of Biomedical Optics

    Science.gov (United States)

    Wang, Lihong

    2017-10-04

    Lihong V. Wang summarizes his tenure as Editor-in-Chief of the Journal of Biomedical Optics and introduces his successor, Brian Pogue, who will assume the role in January 2018. (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).

  5. Mathematical modeling in biomedical imaging

    CERN Document Server

    2009-01-01

    This volume gives an introduction to a fascinating research area to applied mathematicians. It is devoted to providing the exposition of promising analytical and numerical techniques for solving challenging biomedical imaging problems, which trigger the investigation of interesting issues in various branches of mathematics.

  6. Environmental/Biomedical Terminology Index

    Energy Technology Data Exchange (ETDEWEB)

    Huffstetler, J.K.; Dailey, N.S.; Rickert, L.W.; Chilton, B.D.

    1976-12-01

    The Information Center Complex (ICC), a centrally administered group of information centers, provides information support to environmental and biomedical research groups and others within and outside Oak Ridge National Laboratory. In-house data base building and development of specialized document collections are important elements of the ongoing activities of these centers. ICC groups must be concerned with language which will adequately classify and insure retrievability of document records. Language control problems are compounded when the complexity of modern scientific problem solving demands an interdisciplinary approach. Although there are several word lists, indexes, and thesauri specific to various scientific disciplines usually grouped as Environmental Sciences, no single generally recognized authority can be used as a guide to the terminology of all environmental science. If biomedical terminology for the description of research on environmental effects is also needed, the problem becomes even more complex. The building of a word list which can be used as a general guide to the environmental/biomedical sciences has been a continuing activity of the Information Center Complex. This activity resulted in the publication of the Environmental Biomedical Terminology Index (EBTI).

  7. Journal of Biomedical Investigation: Submissions

    African Journals Online (AJOL)

    The following instructions relating to submissions must be adhered to. Failure to conform can lead to delay in publication. Preferred method of submission. Manuscripts may be submitted by post (Editor-in-chief Journal of Biomedical Investigation, Department of Pharmacology and Therapeutics, Faculty of Medicine College ...

  8. Biomedical Engineering Education in Perspective

    Science.gov (United States)

    Gowen, Richard J.

    1973-01-01

    Discusses recent developments in the health care industry and their impact on the future of biomedical engineering education. Indicates that a more thorough understanding of the complex functions of the living organism can be acquired through the application of engineering techniques to problems of life sciences. (CC)

  9. Statistics in three biomedical journals

    Czech Academy of Sciences Publication Activity Database

    Pilčík, Tomáš

    2003-01-01

    Roč. 52, č. 1 (2003), s. 39-43 ISSN 0862-8408 R&D Projects: GA ČR GA310/03/1381 Grant - others:Howard Hughes Medical Institute(US) HHMI55000323 Institutional research plan: CEZ:AV0Z5052915 Keywords : statistics * usage * biomedical journals Subject RIV: EC - Immunology Impact factor: 0.939, year: 2003

  10. Integrated Biomaterials for Biomedical Technology

    CERN Document Server

    Ramalingam, Murugan; Ramakrishna, Seeram; Kobayashi, Hisatoshi

    2012-01-01

    This cutting edge book provides all the important aspects dealing with the basic science involved in materials in biomedical technology, especially structure and properties, techniques and technological innovations in material processing and characterizations, as well as the applications. The volume consists of 12 chapters written by acknowledged experts of the biomaterials field and covers a wide range of topics and applications.

  11. African Journal of Biomedical Research

    African Journals Online (AJOL)

    The African Journal of biomedical Research was founded in 1998 as a joint project between a private communications outfit (Laytal Communications) and ... is aimed at being registered in future as a non-governmental organization involved in the promotion of scientific proceedings and publications in developing countries.

  12. Community engagement strategies for genomic studies in Africa: a review of the literature.

    Science.gov (United States)

    Tindana, Paulina; de Vries, Jantina; Campbell, Megan; Littler, Katherine; Seeley, Janet; Marshall, Patricia; Troyer, Jennifer; Ogundipe, Morisola; Alibu, Vincent Pius; Yakubu, Aminu; Parker, Michael

    2015-04-12

    Community engagement has been recognised as an important aspect of the ethical conduct of biomedical research, especially when research is focused on ethnically or culturally distinct populations. While this is a generally accepted tenet of biomedical research, it is unclear what components are necessary for effective community engagement, particularly in the context of genomic research in Africa. We conducted a review of the published literature to identify the community engagement strategies that can support the successful implementation of genomic studies in Africa. Our search strategy involved using online databases, Pubmed (National Library of Medicine), Medline and Google scholar. Search terms included a combination of the following: community engagement, community advisory boards, community consultation, community participation, effectiveness, genetic and genomic research, Africa, developing countries. A total of 44 articles and 1 thesis were retrieved of which 38 met the selection criteria. Of these, 21 were primary studies on community engagement, while the rest were secondary reports on community engagement efforts in biomedical research studies. 34 related to biomedical research generally, while 4 were specific to genetic and genomic research in Africa. We concluded that there were several community engagement strategies that could support genomic studies in Africa. While many of the strategies could support the early stages of a research project such as the recruitment of research participants, further research is needed to identify effective strategies to engage research participants and their communities beyond the participant recruitment stage. Research is also needed to address how the views of local communities should be incorporated into future uses of human biological samples. Finally, studies evaluating the impact of CE on genetic research are lacking. Systematic evaluation of CE strategies is essential to determine the most effective models of

  13. DataMed - an open source discovery index for finding biomedical datasets.

    Science.gov (United States)

    Chen, Xiaoling; Gururaj, Anupama E; Ozyurt, Burak; Liu, Ruiling; Soysal, Ergin; Cohen, Trevor; Tiryaki, Firat; Li, Yueling; Zong, Nansu; Jiang, Min; Rogith, Deevakar; Salimi, Mandana; Kim, Hyeon-Eui; Rocca-Serra, Philippe; Gonzalez-Beltran, Alejandra; Farcas, Claudiu; Johnson, Todd; Margolis, Ron; Alter, George; Sansone, Susanna-Assunta; Fore, Ian M; Ohno-Machado, Lucila; Grethe, Jeffrey S; Xu, Hua

    2018-01-13

    Finding relevant datasets is important for promoting data reuse in the biomedical domain, but it is challenging given the volume and complexity of biomedical data. Here we describe the development of an open source biomedical data discovery system called DataMed, with the goal of promoting the building of additional data indexes in the biomedical domain. DataMed, which can efficiently index and search diverse types of biomedical datasets across repositories, is developed through the National Institutes of Health-funded biomedical and healthCAre Data Discovery Index Ecosystem (bioCADDIE) consortium. It consists of 2 main components: (1) a data ingestion pipeline that collects and transforms original metadata information to a unified metadata model, called DatA Tag Suite (DATS), and (2) a search engine that finds relevant datasets based on user-entered queries. In addition to describing its architecture and techniques, we evaluated individual components within DataMed, including the accuracy of the ingestion pipeline, the prevalence of the DATS model across repositories, and the overall performance of the dataset retrieval engine. Our manual review shows that the ingestion pipeline could achieve an accuracy of 90% and core elements of DATS had varied frequency across repositories. On a manually curated benchmark dataset, the DataMed search engine achieved an inferred average precision of 0.2033 and a precision at 10 (P@10, the number of relevant results in the top 10 search results) of 0.6022, by implementing advanced natural language processing and terminology services. Currently, we have made the DataMed system publically available as an open source package for the biomedical community. © The Author 2018. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

  14. Application of an efficient Bayesian discretization method to biomedical data

    Directory of Open Access Journals (Sweden)

    Gopalakrishnan Vanathi

    2011-07-01

    Full Text Available Abstract Background Several data mining methods require data that are discrete, and other methods often perform better with discrete data. We introduce an efficient Bayesian discretization (EBD method for optimal discretization of variables that runs efficiently on high-dimensional biomedical datasets. The EBD method consists of two components, namely, a Bayesian score to evaluate discretizations and a dynamic programming search procedure to efficiently search the space of possible discretizations. We compared the performance of EBD to Fayyad and Irani's (FI discretization method, which is commonly used for discretization. Results On 24 biomedical datasets obtained from high-throughput transcriptomic and proteomic studies, the classification performances of the C4.5 classifier and the naïve Bayes classifier were statistically significantly better when the predictor variables were discretized using EBD over FI. EBD was statistically significantly more stable to the variability of the datasets than FI. However, EBD was less robust, though not statistically significantly so, than FI and produced slightly more complex discretizations than FI. Conclusions On a range of biomedical datasets, a Bayesian discretization method (EBD yielded better classification performance and stability but was less robust than the widely used FI discretization method. The EBD discretization method is easy to implement, permits the incorporation of prior knowledge and belief, and is sufficiently fast for application to high-dimensional data.

  15. Technical editing of research reports in biomedical journals.

    Science.gov (United States)

    Wager, Elizabeth; Middleton, Philippa

    2008-10-08

    Most journals try to improve their articles by technical editing processes such as proof-reading, editing to conform to 'house styles', grammatical conventions and checking accuracy of cited references. Despite the considerable resources devoted to technical editing, we do not know whether it improves the accessibility of biomedical research findings or the utility of articles. This is an update of a Cochrane methodology review first published in 2003. To assess the effects of technical editing on research reports in peer-reviewed biomedical journals, and to assess the level of accuracy of references to these reports. We searched The Cochrane Library Issue 2, 2007; MEDLINE (last searched July 2006); EMBASE (last searched June 2007) and checked relevant articles for further references. We also searched the Internet and contacted researchers and experts in the field. Prospective or retrospective comparative studies of technical editing processes applied to original research articles in biomedical journals, as well as studies of reference accuracy. Two review authors independently assessed each study against the selection criteria and assessed the methodological quality of each study. One review author extracted the data, and the second review author repeated this. We located 32 studies addressing technical editing and 66 surveys of reference accuracy. Only three of the studies were randomised controlled trials. A 'package' of largely unspecified editorial processes applied between acceptance and publication was associated with improved readability in two studies and improved reporting quality in another two studies, while another study showed mixed results after stricter editorial policies were introduced. More intensive editorial processes were associated with fewer errors in abstracts and references. Providing instructions to authors was associated with improved reporting of ethics requirements in one study and fewer errors in references in two studies, but no

  16. African Literature

    OpenAIRE

    Recek, Denis

    2011-01-01

    The topic of this diploma is the formation and shaping of African literature. The first chapter is about the beginning of African literature. It describes oral literature and its transmission into written literature. Written African literature had great problems in becoming a part of world literature because of its diversity of languages and dialects. Christianity and Islam are mentioned as two religions which had a great impact on African literature. Colonialism is broadly described as an es...

  17. Defining Compensable Injury in Biomedical Research.

    Science.gov (United States)

    Larkin, Megan E

    2015-01-01

    Biomedical research provides a core social good by enabling medical progress. In the twenty-first century alone, this includes reducing transmission of HIV/AIDS, developing innovative therapies for cancer patients, and exploring the possibilities of personalized medicine. In order to continue to advance medical science, research relies on the voluntary participation of human subjects. Because research is inherently uncertain, unintended harm is an inevitable part of the research enterprise. Currently, injured research participants in the United States must turn to the “litigation lottery” of the tort system in search of compensation. This state of affairs fails research participants, who are too often left uncompensated for devastating losses, and makes the United States an outlier in the international community. In spite of forty years’ worth of Presidential Commissions and other respected voices calling for the development of a no-fault compensation system, no progress has been made to date. One of the reasons for this lack of progress is the failure to develop a coherent ethical basis for an obligation to provide compensation for research related injuries. This problem is exacerbated by the lack of a clear definition of “compensable injury” in the biomedical research context. This article makes a number of important contributions to the scholarship in this growing field. To begin, it examines compensation systems already in existence and concludes that there are four main definitional elements that must be used to define “compensable injury.” Next, it examines the justifications that have been put forth as the basis for an ethical obligation to provide compensation, and settles on retrospective nonmaleficence and distributive and compensatory justice as the most salient and persuasive. Finally, it uses the regulatory elements and the justifications discussed in the first two sections to develop a well-rounded definition of “compensable injury

  18. Enhancing biomedical text summarization using semantic relation extraction.

    Directory of Open Access Journals (Sweden)

    Yue Shang

    Full Text Available Automatic text summarization for a biomedical concept can help researchers to get the key points of a certain topic from large amount of biomedical literature efficiently. In this paper, we present a method for generating text summary for a given biomedical concept, e.g., H1N1 disease, from multiple documents based on semantic relation extraction. Our approach includes three stages: 1 We extract semantic relations in each sentence using the semantic knowledge representation tool SemRep. 2 We develop a relation-level retrieval method to select the relations most relevant to each query concept and visualize them in a graphic representation. 3 For relations in the relevant set, we extract informative sentences that can interpret them from the document collection to generate text summary using an information retrieval based method. Our major focus in this work is to investigate the contribution of semantic relation extraction to the task of biomedical text summarization. The experimental results on summarization for a set of diseases show that the introduction of semantic knowledge improves the performance and our results are better than the MEAD system, a well-known tool for text summarization.

  19. Enhancing biomedical text summarization using semantic relation extraction.

    Science.gov (United States)

    Shang, Yue; Li, Yanpeng; Lin, Hongfei; Yang, Zhihao

    2011-01-01

    Automatic text summarization for a biomedical concept can help researchers to get the key points of a certain topic from large amount of biomedical literature efficiently. In this paper, we present a method for generating text summary for a given biomedical concept, e.g., H1N1 disease, from multiple documents based on semantic relation extraction. Our approach includes three stages: 1) We extract semantic relations in each sentence using the semantic knowledge representation tool SemRep. 2) We develop a relation-level retrieval method to select the relations most relevant to each query concept and visualize them in a graphic representation. 3) For relations in the relevant set, we extract informative sentences that can interpret them from the document collection to generate text summary using an information retrieval based method. Our major focus in this work is to investigate the contribution of semantic relation extraction to the task of biomedical text summarization. The experimental results on summarization for a set of diseases show that the introduction of semantic knowledge improves the performance and our results are better than the MEAD system, a well-known tool for text summarization.

  20. Examining the role of collaboration in studies of health information technologies in biomedical informatics: A systematic review of 25 years of research.

    Science.gov (United States)

    Eikey, Elizabeth V; Reddy, Madhu C; Kuziemsky, Craig E

    2015-10-01

    Our objective was to identify and examine studies of collaboration in relation to the use of health information technologies (HIT) in the biomedical informatics field. We conducted a systematic literature review of articles through PubMed searches as well as reviewing a variety of individual journals and proceedings. Our search period was from 1990-2015. We identified 98 articles that met our inclusion criteria. We excluded articles that were not published in English, did not deal with technology, and did not focus primarily on individuals collaborating. We categorized the studies by technology type, user groups, study location, methodology, processes related to collaboration, and desired outcomes. We identified three major processes: workflow, communication, and information exchange and two outcomes: maintaining awareness and establishing common ground. Researchers most frequently studied collaboration within hospitals using qualitative methods. Based on our findings, we present the "collaboration space model", which is a model to help researchers study collaboration and technology in healthcare. We also discuss issues related to collaboration and future research directions. While collaboration is being increasingly recognized in the biomedical informatics community as essential to healthcare delivery, collaboration is often implicitly discussed or intertwined with other similar concepts. In order to evaluate how HIT affects collaboration and how we can build HIT to effectively support collaboration, we need more studies that explicitly focus on collaborative issues. Copyright © 2015 Elsevier Inc. All rights reserved.

  1. Search filters to identify geriatric medicine in Medline

    NARCIS (Netherlands)

    van de Glind, Esther M. M.; van Munster, Barbara C.; Spijker, René; Scholten, Rob J. P. M.; Hooft, Lotty

    2012-01-01

    Objectives To create user-friendly search filters with high sensitivity, specificity, and precision to identify articles on geriatric medicine in Medline. Design A diagnostic test assessment framework was used. A reference set of 2255 articles was created by hand-searching 22 biomedical journals in

  2. Advanced Methods of Biomedical Signal Processing

    CERN Document Server

    Cerutti, Sergio

    2011-01-01

    This book grew out of the IEEE-EMBS Summer Schools on Biomedical Signal Processing, which have been held annually since 2002 to provide the participants state-of-the-art knowledge on emerging areas in biomedical engineering. Prominent experts in the areas of biomedical signal processing, biomedical data treatment, medicine, signal processing, system biology, and applied physiology introduce novel techniques and algorithms as well as their clinical or physiological applications. The book provides an overview of a compelling group of advanced biomedical signal processing techniques, such as mult

  3. Branding the bio/biomedical engineering degree.

    Science.gov (United States)

    Voigt, Herbert F

    2011-01-01

    The future challenges to medical and biological engineering, sometimes referred to as biomedical engineering or simply bioengineering, are many. Some of these are identifiable now and others will emerge from time to time as new technologies are introduced and harnessed. There is a fundamental issue regarding "Branding the bio/biomedical engineering degree" that requires a common understanding of what is meant by a B.S. degree in Biomedical Engineering, Bioengineering, or Biological Engineering. In this paper we address some of the issues involved in branding the Bio/Biomedical Engineering degree, with the aim of clarifying the Bio/Biomedical Engineering brand.

  4. Faceted Search

    CERN Document Server

    Tunkelang, Daniel

    2009-01-01

    We live in an information age that requires us, more than ever, to represent, access, and use information. Over the last several decades, we have developed a modern science and technology for information retrieval, relentlessly pursuing the vision of a "memex" that Vannevar Bush proposed in his seminal article, "As We May Think." Faceted search plays a key role in this program. Faceted search addresses weaknesses of conventional search approaches and has emerged as a foundation for interactive information retrieval. User studies demonstrate that faceted search provides more

  5. Biomedical coatings on magnesium alloys - a review.

    Science.gov (United States)

    Hornberger, H; Virtanen, S; Boccaccini, A R

    2012-07-01

    This review comprehensively covers research carried out in the field of degradable coatings on Mg and Mg alloys for biomedical applications. Several coating methods are discussed, which can be divided, based on the specific processing techniques used, into conversion and deposition coatings. The literature review revealed that in most cases coatings increase the corrosion resistance of Mg and Mg alloys. The critical factors determining coating performance, such as corrosion rate, surface chemistry, adhesion and coating morphology, are identified and discussed. The analysis of the literature showed that many studies have focused on calcium phosphate coatings produced either using conversion or deposition methods which were developed for orthopaedic applications. However, the control of phases and the formation of cracks still appear unsatisfactory. More research and development is needed in the case of biodegradable organic based coatings to generate reproducible and relevant data. In addition to biocompatibility, the mechanical properties of the coatings are also relevant, and the development of appropriate methods to study the corrosion process in detail and in the long term remains an important area of research. Copyright © 2012 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.

  6. The Biomedical Resource Ontology (BRO) to enable resource discovery in clinical and translational research.

    Science.gov (United States)

    Tenenbaum, Jessica D; Whetzel, Patricia L; Anderson, Kent; Borromeo, Charles D; Dinov, Ivo D; Gabriel, Davera; Kirschner, Beth; Mirel, Barbara; Morris, Tim; Noy, Natasha; Nyulas, Csongor; Rubenson, David; Saxman, Paul R; Singh, Harpreet; Whelan, Nancy; Wright, Zach; Athey, Brian D; Becich, Michael J; Ginsburg, Geoffrey S; Musen, Mark A; Smith, Kevin A; Tarantal, Alice F; Rubin, Daniel L; Lyster, Peter

    2011-02-01

    The biomedical research community relies on a diverse set of resources, both within their own institutions and at other research centers. In addition, an increasing number of shared electronic resources have been developed. Without effective means to locate and query these resources, it is challenging, if not impossible, for investigators to be aware of the myriad resources available, or to effectively perform resource discovery when the need arises. In this paper, we describe the development and use of the Biomedical Resource Ontology (BRO) to enable semantic annotation and discovery of biomedical resources. We also describe the Resource Discovery System (RDS) which is a federated, inter-institutional pilot project that uses the BRO to facilitate resource discovery on the Internet. Through the RDS framework and its associated Biositemaps infrastructure, the BRO facilitates semantic search and discovery of biomedical resources, breaking down barriers and streamlining scientific research that will improve human health. Copyright © 2010 Elsevier Inc. All rights reserved.

  7. Using high-throughput literature mining to support read-across predictions of skin sensitization (WC)

    Science.gov (United States)

    Read-across predictions require high quality measured data for source analogues. These data are typically retrieved from structured databases, but biomedical literature data are often untapped because current literature mining approaches are resource intensive. Our high-throughpu...

  8. Gold Nanocages for Biomedical Applications**

    OpenAIRE

    Skrabalak, Sara E.; Chen, Jingyi; Au, Leslie; Lu, Xianmao; Li, Xingde; Xia, Younan

    2007-01-01

    Nanostructured materials provide a promising platform for early cancer detection and treatment. Here we highlight recent advances in the synthesis and use of Au nanocages for such biomedical applications. Gold nanocages represent a novel class of nanostructures, which can be prepared via a remarkably simple route based on the galvanic replacement reaction between Ag nanocubes and HAuCl4. The Au nanocages have a tunable surface plasmon resonance peak that extends into the near-infrared, where ...

  9. Biomedical devices and their applications

    CERN Document Server

    2004-01-01

    This volume introduces readers to the basic concepts and recent advances in the field of biomedical devices. The text gives a detailed account of novel developments in drug delivery, protein electrophoresis, estrogen mimicking methods and medical devices. It also provides the necessary theoretical background as well as describing a wide range of practical applications. The level and style make this book accessible not only to scientific and medical researchers but also to graduate students.

  10. The Ontology for Biomedical Investigations.

    Science.gov (United States)

    Bandrowski, Anita; Brinkman, Ryan; Brochhausen, Mathias; Brush, Matthew H; Bug, Bill; Chibucos, Marcus C; Clancy, Kevin; Courtot, Mélanie; Derom, Dirk; Dumontier, Michel; Fan, Liju; Fostel, Jennifer; Fragoso, Gilberto; Gibson, Frank; Gonzalez-Beltran, Alejandra; Haendel, Melissa A; He, Yongqun; Heiskanen, Mervi; Hernandez-Boussard, Tina; Jensen, Mark; Lin, Yu; Lister, Allyson L; Lord, Phillip; Malone, James; Manduchi, Elisabetta; McGee, Monnie; Morrison, Norman; Overton, James A; Parkinson, Helen; Peters, Bjoern; Rocca-Serra, Philippe; Ruttenberg, Alan; Sansone, Susanna-Assunta; Scheuermann, Richard H; Schober, Daniel; Smith, Barry; Soldatova, Larisa N; Stoeckert, Christian J; Taylor, Chris F; Torniai, Carlo; Turner, Jessica A; Vita, Randi; Whetzel, Patricia L; Zheng, Jie

    2016-01-01

    The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies that provide a representation of biomedical knowledge from the Open Biological and Biomedical Ontologies (OBO) project and adds the ability to describe how this knowledge was derived. We here describe the state of OBI and several applications that are using it, such as adding semantic expressivity to existing databases, building data entry forms, and enabling interoperability between knowledge resources. OBI covers all phases of the investigation process, such as planning, execution and reporting. It represents information and material entities that participate in these processes, as well as roles and functions. Prior to OBI, it was not possible to use a single internally consistent resource that could be applied to multiple types of experiments for these applications. OBI has made this possible by creating terms for entities involved in biological and medical investigations and by importing parts of other biomedical ontologies such as GO, Chemical Entities of Biological Interest (ChEBI) and Phenotype Attribute and Trait Ontology (PATO) without altering their meaning. OBI is being used in a wide range of projects covering genomics, multi-omics, immunology, and catalogs of services. OBI has also spawned other ontologies (Information Artifact Ontology) and methods for importing parts of ontologies (Minimum information to reference an external ontology term (MIREOT)). The OBI project is an open cross-disciplinary collaborative effort, encompassing multiple research communities from around the globe. To date, OBI has created 2366 classes and 40 relations along with textual and formal definitions. The OBI Consortium maintains a web resource (http://obi-ontology.org) providing details on the people, policies, and issues being addressed

  11. The Ontology for Biomedical Investigations.

    Directory of Open Access Journals (Sweden)

    Anita Bandrowski

    Full Text Available The Ontology for Biomedical Investigations (OBI is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies that provide a representation of biomedical knowledge from the Open Biological and Biomedical Ontologies (OBO project and adds the ability to describe how this knowledge was derived. We here describe the state of OBI and several applications that are using it, such as adding semantic expressivity to existing databases, building data entry forms, and enabling interoperability between knowledge resources. OBI covers all phases of the investigation process, such as planning, execution and reporting. It represents information and material entities that participate in these processes, as well as roles and functions. Prior to OBI, it was not possible to use a single internally consistent resource that could be applied to multiple types of experiments for these applications. OBI has made this possible by creating terms for entities involved in biological and medical investigations and by importing parts of other biomedical ontologies such as GO, Chemical Entities of Biological Interest (ChEBI and Phenotype Attribute and Trait Ontology (PATO without altering their meaning. OBI is being used in a wide range of projects covering genomics, multi-omics, immunology, and catalogs of services. OBI has also spawned other ontologies (Information Artifact Ontology and methods for importing parts of ontologies (Minimum information to reference an external ontology term (MIREOT. The OBI project is an open cross-disciplinary collaborative effort, encompassing multiple research communities from around the globe. To date, OBI has created 2366 classes and 40 relations along with textual and formal definitions. The OBI Consortium maintains a web resource (http://obi-ontology.org providing details on the people, policies, and issues being

  12. Biomedical waste management: An overview

    OpenAIRE

    Mahendra R.R Raj

    2009-01-01

    The importance of waste disposal management is a very essential and integral part of any health care system. Health care providers have been ignorant or they did not essentially know the basic aspect of the importance and effective management of hospital waste.This overview of biomedical waste disposal/management gives a thorough insight into the aspects of the guidelines to be followed and adopted according to the international WHO approved methodology for a cleaner, disease-free, and health...

  13. Magnetic nanoparticles for biomedical applications

    International Nuclear Information System (INIS)

    Krustev, P.; Ruskov, T.

    2007-01-01

    In this paper we describe different biomedical application using magnetic nanoparticles. Over the past decade, a number of biomedical applications have begun to emerge for magnetic nanoparticles of differing sizes, shapes, and compositions. Areas under investigation include targeted drug delivery, ultra-sensitive disease detection, gene therapy, high throughput genetic screening, biochemical sensing, and rapid toxicity cleansing. Magnetic nanoparticles exhibit ferromagnetic or superparamagnetic behavior, magnetizing strongly under an applied field. In the second case (superparamagnetic nanoparticles) there is no permanent magnetism once the field is removed. The superparamagnetic nanoparticles are highly attractive as in vivo probes or in vitro tools to extract information on biochemical systems. The optical properties of magnetic metal nanoparticles are spectacular and, therefore, have promoted a great deal of excitement during the last few decades. Many applications as MRI imaging and hyperthermia rely on the use of iron oxide particles. Moreover magnetic nanoparticles conjugated with antibodies are also applied to hyperthermia and have enabled tumor specific contrast enhancement in MRI. Other promising biomedical applications are connected with tumor cells treated with magnetic nanoparticles with X-ray ionizing radiation, which employs magnetic nanoparticles as a complementary radiate source inside the tumor. (authors)

  14. Biomedical signal and image processing.

    Science.gov (United States)

    Cerutti, Sergio; Baselli, Giuseppe; Bianchi, Anna; Caiani, Enrico; Contini, Davide; Cubeddu, Rinaldo; Dercole, Fabio; Rienzo, Luca; Liberati, Diego; Mainardi, Luca; Ravazzani, Paolo; Rinaldi, Sergio; Signorini, Maria; Torricelli, Alessandro

    2011-01-01

    Generally, physiological modeling and biomedical signal processing constitute two important paradigms of biomedical engineering (BME): their fundamental concepts are taught starting from undergraduate studies and are more completely dealt with in the last years of graduate curricula, as well as in Ph.D. courses. Traditionally, these two cultural aspects were separated, with the first one more oriented to physiological issues and how to model them and the second one more dedicated to the development of processing tools or algorithms to enhance useful information from clinical data. A practical consequence was that those who did models did not do signal processing and vice versa. However, in recent years,the need for closer integration between signal processing and modeling of the relevant biological systems emerged very clearly [1], [2]. This is not only true for training purposes(i.e., to properly prepare the new professional members of BME) but also for the development of newly conceived research projects in which the integration between biomedical signal and image processing (BSIP) and modeling plays a crucial role. Just to give simple examples, topics such as brain–computer machine or interfaces,neuroengineering, nonlinear dynamical analysis of the cardiovascular (CV) system,integration of sensory-motor characteristics aimed at the building of advanced prostheses and rehabilitation tools, and wearable devices for vital sign monitoring and others do require an intelligent fusion of modeling and signal processing competences that are certainly peculiar of our discipline of BME.

  15. Biomedical applications of nanodiamond (Review)

    Science.gov (United States)

    Turcheniuk, K.; Mochalin, Vadym N.

    2017-06-01

    The interest in nanodiamond applications in biology and medicine is on the rise over recent years. This is due to the unique combination of properties that nanodiamond provides. Small size (∼5 nm), low cost, scalable production, negligible toxicity, chemical inertness of diamond core and rich chemistry of nanodiamond surface, as well as bright and robust fluorescence resistant to photobleaching are the distinct parameters that render nanodiamond superior to any other nanomaterial when it comes to biomedical applications. The most exciting recent results have been related to the use of nanodiamonds for drug delivery and diagnostics—two components of a quickly growing area of biomedical research dubbed theranostics. However, nanodiamond offers much more in addition: it can be used to produce biodegradable bone surgery devices, tissue engineering scaffolds, kill drug resistant microbes, help us to fight viruses, and deliver genetic material into cell nucleus. All these exciting opportunities require an in-depth understanding of nanodiamond. This review covers the recent progress as well as general trends in biomedical applications of nanodiamond, and underlines the importance of purification, characterization, and rational modification of this nanomaterial when designing nanodiamond based theranostic platforms.

  16. Literature on photoproduction experiments

    International Nuclear Information System (INIS)

    Joos, P.

    1975-10-01

    Literature on gamma-proton, gamma-neutron, gamma-deuteron, gamma-nucleus experiments, inclusive photoproduction, particle yields in gamma-proton and gamma-nucleus, inelastic compton scattering, search for new particles, Primakoff effect, photofission, and QED-tests are compiled. (BJ) [de

  17. Advanced Search

    African Journals Online (AJOL)

    Search tips: Search terms are case-insensitive; Common words are ignored; By default only articles containing all terms in the query are returned (i.e., AND is implied); Combine multiple words with OR to find articles containing either term; e.g., education OR research; Use parentheses to create more complex queries; e.g., ...

  18. Predicting Treatment Relations with Semantic Patterns over Biomedical Knowledge Graphs.

    Science.gov (United States)

    Bakal, Gokhan; Kavuluru, Ramakanth

    2015-12-01

    Identifying new potential treatment options (say, medications and procedures) for known medical conditions that cause human disease burden is a central task of biomedical research. Since all candidate drugs cannot be tested with animal and clinical trials, in vitro approaches are first attempted to identify promising candidates. Even before this step, due to recent advances, in silico or computational approaches are also being employed to identify viable treatment options. Generally, natural language processing (NLP) and machine learning are used to predict specific relations between any given pair of entities using the distant supervision approach. In this paper, we report preliminary results on predicting treatment relations between biomedical entities purely based on semantic patterns over biomedical knowledge graphs. As such, we refrain from explicitly using NLP, although the knowledge graphs themselves may be built from NLP extractions. Our intuition is fairly straightforward - entities that participate in a treatment relation may be connected using similar path patterns in biomedical knowledge graphs extracted from scientific literature. Using a dataset of treatment relation instances derived from the well known Unified Medical Language System (UMLS), we verify our intuition by employing graph path patterns from a well known knowledge graph as features in machine learned models. We achieve a high recall (92 %) but precision, however, decreases from 95% to an acceptable 71% as we go from uniform class distribution to a ten fold increase in negative instances. We also demonstrate models trained with patterns of length ≤ 3 result in statistically significant gains in F-score over those trained with patterns of length ≤ 2. Our results show the potential of exploiting knowledge graphs for relation extraction and we believe this is the first effort to employ graph patterns as features for identifying biomedical relations.

  19. Graduate Biomedical Science Education Needs a New Philosophy.

    Science.gov (United States)

    Bosch, Gundula; Casadevall, Arturo

    2017-12-19

    There is a growing realization that graduate education in the biomedical sciences is successful at teaching students how to conduct research but falls short in preparing them for a diverse job market, communicating with the public, and remaining versatile scientists throughout their careers. Major problems with graduate level education today include overspecialization in a narrow area of science without a proper grounding in essential critical thinking skills. Shortcomings in education may also contribute to some of the problems of the biomedical sciences, such as poor reproducibility, shoddy literature, and the rise in retracted publications. The challenge is to modify graduate programs such that they continue to generate individuals capable of conducting deep research while at the same time producing more broadly trained scientists without lengthening the time to a degree. Here we describe our first experiences at Johns Hopkins and propose a manifesto for reforming graduate science education. Copyright © 2017 Bosch and Casadevall.

  20. Creating a classification of image types in the medical literature for visual categorization

    Science.gov (United States)

    Müller, Henning; Kalpathy-Cramer, Jayashree; Demner-Fushman, Dina; Antani, Sameer

    2012-02-01

    Content-based image retrieval (CBIR) from specialized collections has often been proposed for use in such areas as diagnostic aid, clinical decision support, and teaching. The visual retrieval from broad image collections such as teaching files, the medical literature or web images, by contrast, has not yet reached a high maturity level compared to textual information retrieval. Visual image classification into a relatively small number of classes (20-100) on the other hand, has shown to deliver good results in several benchmarks. It is, however, currently underused as a basic technology for retrieval tasks, for example, to limit the search space. Most classification schemes for medical images are focused on specific areas and consider mainly the medical image types (modalities), imaged anatomy, and view, and merge them into a single descriptor or classification hierarchy. Furthermore, they often ignore other important image types such as biological images, statistical figures, flowcharts, and diagrams that frequently occur in the biomedical literature. Most of the current classifications have also been created for radiology images, which are not the only types to be taken into account. With Open Access becoming increasingly widespread particularly in medicine, images from the biomedical literature are more easily available for use. Visual information from these images and knowledge that an image is of a specific type or medical modality could enrich retrieval. This enrichment is hampered by the lack of a commonly agreed image classification scheme. This paper presents a hierarchy for classification of biomedical illustrations with the goal of using it for visual classification and thus as a basis for retrieval. The proposed hierarchy is based on relevant parts of existing terminologies, such as the IRMA-code (Image Retrieval in Medical Applications), ad hoc classifications and hierarchies used in imageCLEF (Image retrieval task at the Cross-Language Evaluation

  1. Ontology-Driven Search and Triage: Design of a Web-Based Visual Interface for MEDLINE.

    Science.gov (United States)

    Demelo, Jonathan; Parsons, Paul; Sedig, Kamran

    2017-02-02

    Diverse users need to search health and medical literature to satisfy open-ended goals such as making evidence-based decisions and updating their knowledge. However, doing so is challenging due to at least two major difficulties: (1) articulating information needs using accurate vocabulary and (2) dealing with large document sets returned from searches. Common search interfaces such as PubMed do not provide adequate support for exploratory search tasks. Our objective was to improve support for exploratory search tasks by combining two strategies in the design of an interactive visual interface by (1) using a formal ontology to help users build domain-specific knowledge and vocabulary and (2) providing multi-stage triaging support to help mitigate the information overload problem. We developed a Web-based tool, Ontology-Driven Visual Search and Triage Interface for MEDLINE (OVERT-MED), to test our design ideas. We implemented a custom searchable index of MEDLINE, which comprises approximately 25 million document citations. We chose a popular biomedical ontology, the Human Phenotype Ontology (HPO), to test our solution to the vocabulary problem. We implemented multistage triaging support in OVERT-MED, with the aid of interactive visualization techniques, to help users deal with large document sets returned from searches. Formative evaluation suggests that the design features in OVERT-MED are helpful in addressing the two major difficulties described above. Using a formal ontology seems to help users articulate their information needs with more accurate vocabulary. In addition, multistage triaging combined with interactive visualizations shows promise in mitigating the information overload problem. Our strategies appear to be valuable in addressing the two major problems in exploratory search. Although we tested OVERT-MED with a particular ontology and document collection, we anticipate that our strategies can be transferred successfully to other contexts.

  2. Autonomous search

    CERN Document Server

    Hamadi, Youssef; Saubion, Frédéric

    2012-01-01

    Autonomous combinatorial search (AS) represents a new field in combinatorial problem solving. Its major standpoint and originality is that it considers that problem solvers must be capable of self-improvement operations. This is the first book dedicated to AS.

  3. The ethics of biomedical big data

    CERN Document Server

    Mittelstadt, Brent Daniel

    2016-01-01

    This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices. ‘Biomedical Big Data’ refers to the analysis of aggregated, very large datasets to improve medical knowledge and clinical care. The book describes the ethical problems posed by aggregation of biomedical datasets and re-use/re-purposing of data, in areas such as privacy, consent, professionalism, power relationships, and ethical governance of Big Data platforms. Approaches and methods are discussed that can be used to address these problems to achieve the appropriate balance between the social goods of biomedical Big Data research and the safety and privacy of individuals. Seventeen original contributions analyse the ethical, social and related policy implications of the analysis and curation of biomedical Big Data, written by leading experts in the areas of biomedical research, medical and technology ethics, privacy, governance and data protection. The book advances our understan...

  4. Optimizing Persistent Random Searches

    Science.gov (United States)

    Tejedor, Vincent; Voituriez, Raphael; Bénichou, Olivier

    2012-02-01

    We consider a minimal model of persistent random searcher with a short range memory. We calculate exactly for such a searcher the mean first-passage time to a target in a bounded domain and find that it admits a nontrivial minimum as function of the persistence length. This reveals an optimal search strategy which differs markedly from the simple ballistic motion obtained in the case of Poisson distributed targets. Our results show that the distribution of targets plays a crucial role in the random search problem. In particular, in the biologically relevant cases of either a single target or regular patterns of targets, we find that, in strong contrast to repeated statements in the literature, persistent random walks with exponential distribution of excursion lengths can minimize the search time, and in that sense perform better than any Levy walk.

  5. Chapter 1: Biomedical knowledge integration.

    Directory of Open Access Journals (Sweden)

    Philip R O Payne

    Full Text Available The modern biomedical research and healthcare delivery domains have seen an unparalleled increase in the rate of innovation and novel technologies over the past several decades. Catalyzed by paradigm-shifting public and private programs focusing upon the formation and delivery of genomic and personalized medicine, the need for high-throughput and integrative approaches to the collection, management, and analysis of heterogeneous data sets has become imperative. This need is particularly pressing in the translational bioinformatics domain, where many fundamental research questions require the integration of large scale, multi-dimensional clinical phenotype and bio-molecular data sets. Modern biomedical informatics theory and practice has demonstrated the distinct benefits associated with the use of knowledge-based systems in such contexts. A knowledge-based system can be defined as an intelligent agent that employs a computationally tractable knowledge base or repository in order to reason upon data in a targeted domain and reproduce expert performance relative to such reasoning operations. The ultimate goal of the design and use of such agents is to increase the reproducibility, scalability, and accessibility of complex reasoning tasks. Examples of the application of knowledge-based systems in biomedicine span a broad spectrum, from the execution of clinical decision support, to epidemiologic surveillance of public data sets for the purposes of detecting emerging infectious diseases, to the discovery of novel hypotheses in large-scale research data sets. In this chapter, we will review the basic theoretical frameworks that define core knowledge types and reasoning operations with particular emphasis on the applicability of such conceptual models within the biomedical domain, and then go on to introduce a number of prototypical data integration requirements and patterns relevant to the conduct of translational bioinformatics that can be addressed

  6. An introduction to biomedical instrumentation

    CERN Document Server

    Dewhurst, D J

    1976-01-01

    An Introduction to Biomedical Instrumentation presents a course of study and applications covering the basic principles of medical and biological instrumentation, as well as the typical features of its design and construction. The book aims to aid not only the cognitive domain of the readers, but also their psychomotor domain as well. Aside from the seminar topics provided, which are divided into 27 chapters, the book complements these topics with practical applications of the discussions. Figures and mathematical formulas are also given. Major topics discussed include the construction, handli

  7. Tritium AMS for biomedical applications

    International Nuclear Information System (INIS)

    Roberts, M.L.; Velsko, C.; Turteltaub, K.W.

    1993-08-01

    We are developing 3 H-AMS to measure 3 H activity of mg-sized biological samples. LLNL has already successfully applied 14 C AMS to a variety of problems in the area of biomedical research. Development of 3 H AMS would greatly complement these studies. The ability to perform 3 H AMS measurements at sensitivities equivalent to those obtained for 14 C will allow us to perform experiments using compounds that are not readily available in 14 C-tagged form. A 3 H capability would also allow us to perform unique double-labeling experiments in which we learn the fate, distribution, and metabolism of separate fractions of biological compounds

  8. Thermoresponsive Polymers for Biomedical Applications

    Directory of Open Access Journals (Sweden)

    Theoni K. Georgiou

    2011-08-01

    Full Text Available Thermoresponsive polymers are a class of “smart” materials that have the ability to respond to a change in temperature; a property that makes them useful materials in a wide range of applications and consequently attracts much scientific interest. This review focuses mainly on the studies published over the last 10 years on the synthesis and use of thermoresponsive polymers for biomedical applications including drug delivery, tissue engineering and gene delivery. A summary of the main applications is given following the different studies on thermoresponsive polymers which are categorized based on their 3-dimensional structure; hydrogels, interpenetrating networks, micelles, crosslinked micelles, polymersomes, films and particles.

  9. Introduction to biomedical engineering technology

    CERN Document Server

    Street, Laurence J

    2011-01-01

    IntroductionHistory of Medical DevicesThe Role of Biomedical Engineering Technologists in Health CareCharacteristics of Human Anatomy and Physiology That Relate to Medical DevicesSummaryQuestionsDiagnostic Devices: Part OnePhysiological Monitoring SystemsThe HeartSummaryQuestionsDiagnostic Devices: Part TwoCirculatory System and BloodRespiratory SystemNervous SystemSummaryQuestionsDiagnostic Devices: Part ThreeDigestive SystemSensory OrgansReproductionSkin, Bone, Muscle, MiscellaneousChapter SummaryQuestionsDiagnostic ImagingIntroductionX-RaysMagnetic Resonance Imaging ScannersPositron Emissio

  10. Biomedical signal and image processing

    CERN Document Server

    Najarian, Kayvan

    2012-01-01

    INTRODUCTION TO DIGITAL SIGNAL AND IMAGE PROCESSINGSignals and Biomedical Signal ProcessingIntroduction and OverviewWhat is a ""Signal""?Analog, Discrete, and Digital SignalsProcessing and Transformation of SignalsSignal Processing for Feature ExtractionSome Characteristics of Digital ImagesSummaryProblemsFourier TransformIntroduction and OverviewOne-Dimensional Continuous Fourier TransformSampling and NYQUIST RateOne-Dimensional Discrete Fourier TransformTwo-Dimensional Discrete Fourier TransformFilter DesignSummaryProblemsImage Filtering, Enhancement, and RestorationIntroduction and Overview

  11. Biomedical waste management: An overview

    Directory of Open Access Journals (Sweden)

    Mahendra R.R Raj

    2009-01-01

    Full Text Available The importance of waste disposal management is a very essential and integral part of any health care system. Health care providers have been ignorant or they did not essentially know the basic aspect of the importance and effective management of hospital waste.This overview of biomedical waste disposal/management gives a thorough insight into the aspects of the guidelines to be followed and adopted according to the international WHO approved methodology for a cleaner, disease-free, and healthier medical services to the populace, i.e., to the hospital employees, patients, and society.

  12. Review of Biomedical Image Processing

    Directory of Open Access Journals (Sweden)

    Ciaccio Edward J

    2011-11-01

    Full Text Available Abstract This article is a review of the book: 'Biomedical Image Processing', by Thomas M. Deserno, which is published by Springer-Verlag. Salient information that will be useful to decide whether the book is relevant to topics of interest to the reader, and whether it might be suitable as a course textbook, are presented in the review. This includes information about the book details, a summary, the suitability of the text in course and research work, the framework of the book, its specific content, and conclusions.

  13. Luminescent nanodiamonds for biomedical applications.

    Science.gov (United States)

    Say, Jana M; van Vreden, Caryn; Reilly, David J; Brown, Louise J; Rabeau, James R; King, Nicholas J C

    2011-12-01

    In recent years, nanodiamonds have emerged from primarily an industrial and mechanical applications base, to potentially underpinning sophisticated new technologies in biomedical and quantum science. Nanodiamonds are relatively inexpensive, biocompatible, easy to surface functionalise and optically stable. This combination of physical properties are ideally suited to biological applications, including intracellular labelling and tracking, extracellular drug delivery and adsorptive detection of bioactive molecules. Here we describe some of the methods and challenges for processing nanodiamond materials, detection schemes and some of the leading applications currently under investigation.

  14. [Visibility and productivity of the biomedical Peruvian journals].

    Science.gov (United States)

    Huamaní, Charles; Pacheco-Romero, José

    2009-01-01

    Biomedical journals have suffered world wide revolutions due to globalization of information, evolving from the printed version to the electronic one. The status of Peruvian medical journals is not currently known. To determine indexing, production for 2005 to 2007; and visibility of Peruvian biomedical journals for 2008. We identified indexed journals in Medline, SciELO-Peru, Redalyc, LILACS, and others, through informatic search and described the journals production with more indizations, estimating the original research production index. An analysis of electronic visibility of the journals most indexed in SciELO-Peru, Redalyc and SISBIB data bases is done. We identified 29 current journals by 2007. Only Revista de Gastroenterologia del Peru was indexed to Medline. Revista Peruana de Medicina Experimental y Salud Publica was the journal with more production, with 176 publications between 2005 and 2007.Anales de la Facultad de Medicina was the journal with the higher original investigation index, with 0,61. Anales de la Facultad de Medicina had the higher number of electronic visits with 963 965 visits in 2008. There is a great diversity of biomedical journals in Peru but few are indexed and only one is seen in Medline. Original research production is not high but journals electronic visibility is above 600 thousand visitors.

  15. Mathematics and physics of emerging biomedical imaging

    National Research Council Canada - National Science Library

    National Research Council Staff; Commission on Physical Sciences, Mathematics, and Applications; Division on Engineering and Physical Sciences; National Research Council; National Academy of Sciences

    .... Incorporating input from dozens of biomedical researchers who described what they perceived as key open problems of imaging that are amenable to attack by mathematical scientists and physicists...

  16. Frontiers in biomedical engineering and biotechnology.

    Science.gov (United States)

    Liu, Feng; Goodarzi, Ali; Wang, Haifeng; Stasiak, Joanna; Sun, Jianbo; Zhou, Yu

    2014-01-01

    The 2nd International Conference on Biomedical Engineering and Biotechnology (iCBEB 2013), held in Wuhan on 11–13 October 2013, is an annual conference that aims at providing an opportunity for international and national researchers and practitioners to present the most recent advances and future challenges in the fields of Biomedical Information, Biomedical Engineering and Biotechnology. The papers published by this issue are selected from this conference, which witnesses the frontier in the field of Biomedical Engineering and Biotechnology, which particularly has helped improving the level of clinical diagnosis in medical work.

  17. A Review of Auditing Methods Applied to the Content of Controlled Biomedical Terminologies

    Science.gov (United States)

    Zhu, Xinxin; Fan, Jung-Wei; Baorto, David M.; Weng, Chunhua; Cimino, James J.

    2012-01-01

    Although controlled biomedical terminologies have been with us for centuries, it is only in the last couple of decades that close attention has been paid to the quality of these terminologies. The result of this attention has been the development of auditing methods that apply formal methods to assessing whether terminologies are complete and accurate. We have performed an extensive literature review to identify published descriptions of these methods and have created a framework for characterizing them. The framework considers manual, systematic and heuristic methods that use knowledge (within or external to the terminology) to measure quality factors of different aspects of the terminology content (terms, semantic classification, and semantic relationships). The quality factors examined included concept orientation, consistency, non-redundancy, soundness and comprehensive coverage. We reviewed 130 studies that were retrieved based on keyword search on publications in PubMed, and present our assessment of how they fit into our framework. We also identify which terminologies have been audited with the methods and provide examples to illustrate each part of the framework. PMID:19285571

  18. Is there a need for biomedical CBIR systems in clinical practice? Outcomes from a usability study

    Science.gov (United States)

    Antani, Sameer; Xue, Zhiyun; Long, L. Rodney; Bennett, Deborah; Ward, Sarah; Thoma, George R.

    2011-03-01

    Articles in the literature routinely describe advances in Content Based Image Retrieval (CBIR) and its potential for improving clinical practice, biomedical research and education. Several systems have been developed to address particular needs, however, surprisingly few are found to be in routine practical use. Our collaboration with the National Cancer Institute (NCI) has identified a need to develop tools to annotate and search a collection of over 100,000 cervigrams and related, anonymized patient data. One such tool developed for a projected need for retrieving similar patient images is the prototype CBIR system, called CervigramFinder, which retrieves images based on the visual similarity of particular regions on the cervix. In this article we report the outcomes from a usability study conducted at a primary meeting of practicing experts. We used the study to not only evaluate the system for software errors and ease of use, but also to explore its "user readiness", and to identify obstacles that hamper practical use of such systems, in general. Overall, the participants in the study found the technology interesting and bearing great potential; however, several challenges need to be addressed before the technology can be adopted.

  19. Medical and biomedical research productivity from the Kingdom of Saudi Arabia (2008-2012

    Directory of Open Access Journals (Sweden)

    Rabia Latif

    2015-01-01

    Full Text Available Background: Biomedical publications from a country mirror the standard of Medical Education and practice in that country. It is important that the performance of the health profession is occasionally documented. Aims: This study aimed to analyze the quantity and quality of biomedical publications from the Kingdom of Saudi Arabia (KSA in international journals indexed in PubMed between 2008 and 2012. Materials and Methods: PubMed was searched for publications associated with KSA from 2008 to 2012. The search was limited to medical and biomedical subjects. Results were saved in a text file and later checked carefully to exclude false positive errors. The quality of the publication was assessed using Journal Citation Report 2012. Results: Biomedical research production in KSA in those 5 years showed a clear linear progression. Riyadh was the main hub of medical and biomedical research activity. Most of the publications (40.9% originated from King Saud University (KSU. About half of the articles were published in journals with an Impact Factor (IF of < 1, one-fourth in journals with no IF, and the remaining one-fourth in journals with a high IF (≥1. Conclusion: This study revealed that research activity in KSA is increasing. However, there is an increasing trend of publishing in local journals with a low IF. More effort is required to promote medical research in Saudi Arabia.

  20. Biomedical applications of control engineering

    CERN Document Server

    Hacısalihzade, Selim S

    2013-01-01

    Biomedical Applications of Control Engineering is a lucidly written textbook for graduate control engin­eering and biomedical engineering students as well as for medical prac­ti­tioners who want to get acquainted with quantitative methods. It is based on decades of experience both in control engineering and clinical practice.   The book begins by reviewing basic concepts of system theory and the modeling process. It then goes on to discuss control engineering application areas like ·         Different models for the human operator, ·         Dosage and timing optimization in oral drug administration, ·         Measuring symptoms of and optimal dopaminergic therapy in Parkinson’s disease, ·         Measure­ment and control of blood glucose le­vels both naturally and by means of external controllers in diabetes, and ·         Control of depth of anaesthesia using inhalational anaesthetic agents like sevoflurane using both fuzzy and state feedback controllers....