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Sample records for computerized decision-support systems

  1. [Computerized decision support systems: EBM at the bedside].

    Science.gov (United States)

    Capobussi, Matteo; Banzi, Rita; Moja, Lorenzo; Bonovas, Stefanos; González-Lorenzo, Marien; Liberati, Elisa Giulia; Polo Friz, Hernan; Nanni, Oriana; Mangia, Massimo; Ruggiero, Francesca

    2016-11-01

    One of the aims of Evidence-Based Medicine is to improve quality and appropriateness of care by the expedition of the knowledge transfer process. Computerized Decision Support Systems (CDSSs) are computer programs that provide alerts to the prescribing doctor directly at the moment of medical examination. In fact, alerts are integrated within the single patient electronic health record. CDSS based on the best available and updated evidence and guidelines may be an efficient tool to facilitate the transfer of the latest results from clinical research directly at the bedside, thus supporting decision-making. The CODES (COmputerized DEcision Support) trial is a research program funded by the Italian Ministry of Health and the Lombardy Region. It aims to evaluate the feasibility of the implementation of a CDSS at the hospital level and to assess its efficacy in daily clinical practice. The CODES project includes two pragmatic RCTs testing a CDSS (i.e. the EBMeDS - MediDSS) in two large Italian hospitals: the first is a general hospital in Vimercate (Lombardy), the second is an oncologic research center in Meldola (Emilia Romagna). The CDSS supports a full spectrum of decisions: therapy, drug interactions, diagnosis, and management of health care services are covered by a hundreds of reminders. However only few reminders are activated per patient, highlighting crucial problems in the delivery of high-quality care. The two trials have similar design and primary outcome, the rate at which alerts detected by the software are resolved by a decision of the clinicians. The project also includes the assessment of barriers and facilitators in the adoption of these new technologies by hospital staff members and the retrospective evaluation of the repeated risks in prescription habits. The trials are ongoing and currently more than 10,000 patients have been randomized. The qualitative analysis revealed a progressive shift in the perception of the tool. Doctors are now seeing it

  2. The Experiences of Using a Computerized Decision Support System

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    Fossum, Mariann; Ehnfors, Margareta; Fruhling, Ann; Ehrenberg, Anna

    2012-01-01

    The aim was to describe the facilitators and barriers influencing the ability of nursing personnel to effectively use a CDSS for planning and treating pressure ulcers and malnutrition in nursing homes. Usability evaluations and group interviews were conducted. Facilitators were ease of use, usefulness and a supportive work environment. Lack of training, resistance to using computers and limited integration of the CDSS with the electronic health record system were reported. PMID:24199144

  3. Increasing Personal Value Congruence in Computerized Decision Support Using System Feedback

    Directory of Open Access Journals (Sweden)

    Bryan Hosack

    2014-02-01

    Full Text Available The Theory of Universals in Values (TUV, a reliable and validated conceptualization of personal values used in psychology, is used to examine the effect of system feedback delivered by a Decision Support System (DSS on personal values. The results indicate that value-based decision-making behavior can be influenced by DSS feedback to address value congruence in decision-making. User behavior was shown to follow the outcomes expected by operant theory when feedback was supportive and to follow the outcomes of reactance theory when feedback was challenging. This result suggests that practitioners and Information System (IS researchers should consider user values when designing computerized decision feedback to adjust a system’s design such that the potential user backlash is avoided or congruence between organizational and personal values is achieved.

  4. Integrating computerized clinical decision support systems into clinical work: A meta-synthesis of qualitative research.

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    Miller, Anne; Moon, Brian; Anders, Shilo; Walden, Rachel; Brown, Steven; Montella, Diane

    2015-12-01

    Computerized clinical decision support systems (CDSS) are an emerging means for improving healthcare safety, quality and efficiency, but meta-analyses findings are mixed. This meta-synthesis aggregates qualitative research findings as possible explanations for variable quantitative research outcomes. Qualitative studies published between 2000 and 2013 in English, involving physicians, registered and advanced practice nurses' experience of CDSS use in clinical practice were included. PubMed and CINAHL databases were searched. Study titles and abstracts were screened against inclusion criteria. Retained studies were appraised against quality criteria. Findings were extracted iteratively from studies in the 4th quartile of quality scores. Two reviewers constructed themes inductively. A third reviewer applied the defined themes deductively achieving 92% agreement. 3798 unique records were returned; 56 met inclusion criteria and were reviewed against quality criteria. 9 studies were of sufficiently high quality for synthetic analysis. Five major themes (clinician-patient-system integration; user interface usability; the need for better 'algorithms'; system maturity; patient safety) were defined. Despite ongoing development, CDSS remains an emerging technology. Lack of understanding about and lack of consideration for the interaction between human decision makers and CDSS is a major reason for poor system adoption and use. Further high-quality qualitative research is needed to better understand human-system interaction issues. These issues may continue to confound quantitative study results if not addressed. Copyright © 2015. Published by Elsevier Ireland Ltd.

  5. Implementation of multiple-domain covering computerized decision support systems in primary care: a focus group study on perceived barriers

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    Lugtenberg, M.; Weenink, J.W.; Weijden, T. van der; Westert, G.P.; Kool, R.B.

    2015-01-01

    BACKGROUND: Despite the widespread availability of computerized decision support systems (CDSSs) in various healthcare settings, evidence on their uptake and effectiveness is still limited. Most barrier studies focus on CDSSs that are aimed at a limited number of decision points within selected smal

  6. Implementation of multiple-domain covering computerized decision support systems in primary care : A focus group study on perceived barriers

    NARCIS (Netherlands)

    Lugtenberg, M.; Weenink, Jan-Willem; van der Weijden, Trudy; Westert, G.P.; Kool, Rudolf B.

    2015-01-01

    Background Despite the widespread availability of computerized decision support systems (CDSSs) in various healthcare settings, evidence on their uptake and effectiveness is still limited. Most barrier studies focus on CDSSs that are aimed at a limited number of decision points within selected small

  7. Increasing Personal Value Congruence in Computerized Decision Support Using System Feedback

    National Research Council Canada - National Science Library

    Bryan Hosack; David Paradice

    2014-01-01

      The Theory of Universals in Values (TUV), a reliable and validated conceptualization of personal values used in psychology, is used to examine the effect of system feedback delivered by a Decision Support System (DSS) on personal values...

  8. An Evaluation of the Usability of a Computerized Decision Support System for Nursing Homes

    Science.gov (United States)

    Fossum, M.; Ehnfors, M.; Fruhling, A.; Ehrenberg, A.

    2011-01-01

    Background Computerized decision support systems (CDSSs) have the potential to significantly improve the quality of nursing care of older people by enhancing the decision making of nursing personnel. Despite this potential, health care organizations have been slow to incorporate CDSSs into nursing home practices. Objective This study describes facilitators and barriers that impact the ability of nursing personnel to effectively use a clinical CDSS for planning and treating pressure ulcers (PUs) and malnutrition and for following the suggested risk assessment guidelines for the care of nursing home residents. Methods We employed a qualitative descriptive design using varied methods, including structured group interviews, cognitive walkthrough observations and a graphical user interface (GUI) usability evaluation. Group interviews were conducted with 25 nursing personnel from four nursing homes in southern Norway. Five nursing personnel participated in cognitive walkthrough observations and the GUI usability evaluation. Text transcripts were analyzed using qualitative content analysis. Results Group interview participants reported that ease of use, usefulness and a supportive work environment were key facilitators of CDSS use. The barriers identified were lack of training, resistance to using computers and limited integration of the CDSS with the facility’s electronic health record (EHR) system. Key findings from the usability evaluation also identified the difficulty of using the CDSS within the EHR and the poorly designed GUI integration as barriers. Conclusion Overall, we found disconnect between two types of nursing personnel. Those who were comfortable with computer technology reported positive feedback about the CDSS, while others expressed resistance to using the CDSS for various reasons. This study revealed that organizations must invest more resources in educating nursing personnel on the seriousness of PUs and poor nutrition in the elderly, providing

  9. Computerized Physician Order Entry - effectiveness and efficiency of electronic medication ordering with decision support systems

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    Traurig, Peter

    2009-05-01

    Full Text Available Health political background: Computerized physician order entry (CPOE systems are software to electronically enter medication orders. They can be equipped with tools for decision support (CDS. In Germany, various vendors offer such systems for hospitals and physicians’ offices. These systems have mostly been developed during the last five to ten years. Scientific background: CPOE-systems exist since the 1970’s. Usually, clinical decision support is integrated into the CPOE to avoid errors. Research questions: This HTA-report aims to evaluate the effectiveness and efficiency of CPOE-/CDS-systems and their ethical, social and legal aspects. Methods: The systematic literature search (27 international data bases yielded 791 abstracts. Following a two-part selection process, twelve publications were included in the assessment. Results: All reviews and studies included in the present report show that the use of CPOE-/CDS-systems can lead to a reduction of medication errors. Minor errors can be eliminated almost completely. The effect of CPOE-/CDS-systems on the rate of adverse drug events (ADE is evaluated in only two primary studies with conflicting results. It is difficult to compare the results of economical studies because they evaluate different settings, interventions and time frames. In addition, the documentation often is not fully transparent. All four studies included measure costs and effects from the perspective of a hospital or hospital affiliation. Concerning social aspects, the literature points at changes regard competing interests of technology and humans that result from the implementation of CPOE-systems. The experience of institutions in which the implementation of CPOE-systems leads to problems showed that the importance of considering the socio-organisational context had partly been underestimated. Discussion: CPOE-/CDS-systems are able to reduce the rate of medication errors when ordering medications. The adherence to

  10. The EVS: a computerized decision support system for GPs in the Netherlands.

    NARCIS (Netherlands)

    Wolters, I.; Hoogen, H. van den; Bakker, D. de

    2003-01-01

    Background: In 1998 a project was started to introduce nationally a decision support system in general practice in the Netherlands, called EVS (electronic prescription support system). The system contains national guidelines developed by the Dutch Council of GPs (NHG) for approximately 80 diagnoses.

  11. Coupling Clinical Decision Support System with Computerized Prescriber Order Entry and their Dynamic Plugging in the Medical Workflow System

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    Bouzguenda, Lotfi

    2012-01-01

    This work deals with coupling Clinical Decision Support System (CDSS) with Computerized Prescriber Order Entry (CPOE) and their dynamic plugging in the medical Workflow Management System (WfMS). First, in this paper we argue some existing CDSS representative of the state of the art in order to emphasize their inability to deal with coupling with CPOE and medical WfMS. The multi-agent technology is at the basis of our proposition since (i) it provides natural abstractions to deal with distribution, heterogeneity and autonomy which are inherent to the previous systems (CDSS, CPOE and medical WfMS), and (ii) it introduces powerful concepts such as organizations, goals and roles useful to describe in details the coordination of the different components involved in these systems. In this paper, we also propose a Multi-Agent System (MAS) to support the coupling CDSS with CPOE. Finally, we show how we integrate the proposed MAS in the medical workflow management system which is also based on collaborating agents

  12. [Barriers and facilitators to the implementation of computerized decision support systems in Italian hospitals: a grounded theory study].

    Science.gov (United States)

    Liberati, Elisa Giulia; Galuppo, Laura; Gorli, Mara; Maraldi, Marco; Ruggiero, Francesca; Capobussi, Matteo; Banzi, Rita; Kwag, Koren; Scaratti, Giuseppe; Nanni, Oriana; Ruggieri, Pietro; Polo Friz, Hernan; Cimminiello, Claudio; Bosio, Marco; Mangia, Massimo; Moja, Lorenzo

    2015-04-01

    Computerized Decision Support Systems (CDSSs) connect health care professionals with high-quality, evidence-based information at the point-of-care to guide clinical decision-making. Current research shows the potential of CDSSs to improve the efficiency and quality of patient care. The mere provision of the technology, however, does not guarantee its uptake. This qualitative study aims to explore the barriers and facilitators to the use of CDSSs as identified by health providers. The study was performed in three Italian hospitals, each characterized by a different level of familiarity with the CDSS technology. We interviewed frontline physicians, nurses, information technology staff, and members of the hospital board of directors (n=24). A grounded theory approach informed our sampling criteria as well as the data collection and analysis. The adoption of CDSSs by health care professionals can be represented as a process that consists of six "positionings," each corresponding to an individual's use and perceived mastery of the technology. In conditions of low mastery, the CDSS is perceived as an object of threat, an unfamiliar tool that is difficult to control. On the other hand, individuals in conditions of high mastery view the CDSS as a helpful tool that can be locally adapted and integrated with clinicians' competences to fulfil their needs. In the first positionings, the uptake of CDSSs is hindered by representational obstacles. The last positionings, alternatively, featured technical obstacles to CDSS uptake. Our model of CDSS adoption can guide hospital administrators interested in the future integration of CDSSs to evaluate their organizational contexts, identify potential challenges to the implementation of the technology, and develop an effective strategy to address them. Our findings also allow reflections concerning the misalignment between most Italian hospitals and the current innovation trends toward the uptake of computerized decision support

  13. Impact of a computerized provider radiography order entry system without clinical decision support on emergency department medical imaging requests.

    Science.gov (United States)

    Claret, Pierre-Géraud; Bobbia, Xavier; Macri, Francesco; Stowell, Andrew; Motté, Antony; Landais, Paul; Beregi, Jean-Paul; de La Coussaye, Jean-Emmanuel

    2016-06-01

    The adoption of computerized physician order entry is an important cornerstone of using health information technology (HIT) in health care. The transition from paper to computer forms presents a change in physicians' practices. The main objective of this study was to investigate the impact of implementing a computer-based order entry (CPOE) system without clinical decision support on the number of radiographs ordered for patients admitted in the emergency department. This single-center pre-/post-intervention study was conducted in January, 2013 (before CPOE period) and January, 2014 (after CPOE period) at the emergency department at Nîmes University Hospital. All patients admitted in the emergency department who had undergone medical imaging were included in the study. Emergency department admissions have increased since the implementation of CPOE (5388 in the period before CPOE implementation vs. 5808 patients after CPOE implementation, p=.008). In the period before CPOE implementation, 2345 patients (44%) had undergone medical imaging; in the period after CPOE implementation, 2306 patients (40%) had undergone medical imaging (p=.008). In the period before CPOE, 2916 medical imaging procedures were ordered; in the period after CPOE, 2876 medical imaging procedures were ordered (p=.006). In the period before CPOE, 1885 radiographs were ordered; in the period after CPOE, 1776 radiographs were ordered (pmedical imaging did not vary between the two periods. Our results show a decrease in the number of radiograph requests after a CPOE system without clinical decision support was implemented in our emergency department. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  14. Decision support systems

    DEFF Research Database (Denmark)

    Jørgensen, L N; Noe, E; Langvad, A M

    2007-01-01

    system Crop Protection Online is widely used by advisors and as a learning tool for students. Although the system has been validated in many field trials over the years and has shown reliable results, the number of end-users among farmers has been relatively low during the last 10 years (approximately...... 1000 farmers). A sociological investigation of farmers' decision-making styles in the area of crop protection has shown that arable farmers can be divided into three major groups: (a) system-orientated farmers, (b) experience-based farmers and (c) advisory-orientated farmers. The information required...... by these three groups to make their decisions varies and therefore different ways of using decision support systems need to be provided. Decision support systems need to be developed in close dialogue and collaboration with user groups....

  15. Effectiveness of computerized decision support systems linked to electronic health records: a systematic review and meta-analysis.

    Science.gov (United States)

    Moja, Lorenzo; Kwag, Koren H; Lytras, Theodore; Bertizzolo, Lorenzo; Brandt, Linn; Pecoraro, Valentina; Rigon, Giulio; Vaona, Alberto; Ruggiero, Francesca; Mangia, Massimo; Iorio, Alfonso; Kunnamo, Ilkka; Bonovas, Stefanos

    2014-12-01

    We systematically reviewed randomized controlled trials (RCTs) assessing the effectiveness of computerized decision support systems (CDSSs) featuring rule- or algorithm-based software integrated with electronic health records (EHRs) and evidence-based knowledge. We searched MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, and Cochrane Database of Abstracts of Reviews of Effects. Information on system design, capabilities, acquisition, implementation context, and effects on mortality, morbidity, and economic outcomes were extracted. Twenty-eight RCTs were included. CDSS use did not affect mortality (16 trials, 37395 patients; 2282 deaths; risk ratio [RR] = 0.96; 95% confidence interval [CI] = 0.85, 1.08; I(2) = 41%). A statistically significant effect was evident in the prevention of morbidity, any disease (9 RCTs; 13868 patients; RR = 0.82; 95% CI = 0.68, 0.99; I(2) = 64%), but selective outcome reporting or publication bias cannot be excluded. We observed differences for costs and health service utilization, although these were often small in magnitude. Across clinical settings, new generation CDSSs integrated with EHRs do not affect mortality and might moderately improve morbidity outcomes.

  16. Computerized clinical decision support systems for chronic disease management: a decision-maker-researcher partnership systematic review.

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    Roshanov, Pavel S; Misra, Shikha; Gerstein, Hertzel C; Garg, Amit X; Sebaldt, Rolf J; Mackay, Jean A; Weise-Kelly, Lorraine; Navarro, Tamara; Wilczynski, Nancy L; Haynes, R Brian

    2011-08-03

    The use of computerized clinical decision support systems (CCDSSs) may improve chronic disease management, which requires recurrent visits to multiple health professionals, ongoing disease and treatment monitoring, and patient behavior modification. The objective of this review was to determine if CCDSSs improve the processes of chronic care (such as diagnosis, treatment, and monitoring of disease) and associated patient outcomes (such as effects on biomarkers and clinical exacerbations). We conducted a decision-maker-researcher partnership systematic review. We searched MEDLINE, EMBASE, Ovid's EBM Reviews database, Inspec, and reference lists for potentially eligible articles published up to January 2010. We included randomized controlled trials that compared the use of CCDSSs to usual practice or non-CCDSS controls. Trials were eligible if at least one component of the CCDSS was designed to support chronic disease management. We considered studies 'positive' if they showed a statistically significant improvement in at least 50% of relevant outcomes. Of 55 included trials, 87% (n = 48) measured system impact on the process of care and 52% (n = 25) of those demonstrated statistically significant improvements. Sixty-five percent (36/55) of trials measured impact on, typically, non-major (surrogate) patient outcomes, and 31% (n = 11) of those demonstrated benefits. Factors of interest to decision makers, such as cost, user satisfaction, system interface and feature sets, unique design and deployment characteristics, and effects on user workflow were rarely investigated or reported. A small majority (just over half) of CCDSSs improved care processes in chronic disease management and some improved patient health. Policy makers, healthcare administrators, and practitioners should be aware that the evidence of CCDSS effectiveness is limited, especially with respect to the small number and size of studies measuring patient outcomes.

  17. Computerized clinical decision support systems for chronic disease management: A decision-maker-researcher partnership systematic review

    Directory of Open Access Journals (Sweden)

    Navarro Tamara

    2011-08-01

    Full Text Available Abstract Background The use of computerized clinical decision support systems (CCDSSs may improve chronic disease management, which requires recurrent visits to multiple health professionals, ongoing disease and treatment monitoring, and patient behavior modification. The objective of this review was to determine if CCDSSs improve the processes of chronic care (such as diagnosis, treatment, and monitoring of disease and associated patient outcomes (such as effects on biomarkers and clinical exacerbations. Methods We conducted a decision-maker-researcher partnership systematic review. We searched MEDLINE, EMBASE, Ovid's EBM Reviews database, Inspec, and reference lists for potentially eligible articles published up to January 2010. We included randomized controlled trials that compared the use of CCDSSs to usual practice or non-CCDSS controls. Trials were eligible if at least one component of the CCDSS was designed to support chronic disease management. We considered studies 'positive' if they showed a statistically significant improvement in at least 50% of relevant outcomes. Results Of 55 included trials, 87% (n = 48 measured system impact on the process of care and 52% (n = 25 of those demonstrated statistically significant improvements. Sixty-five percent (36/55 of trials measured impact on, typically, non-major (surrogate patient outcomes, and 31% (n = 11 of those demonstrated benefits. Factors of interest to decision makers, such as cost, user satisfaction, system interface and feature sets, unique design and deployment characteristics, and effects on user workflow were rarely investigated or reported. Conclusions A small majority (just over half of CCDSSs improved care processes in chronic disease management and some improved patient health. Policy makers, healthcare administrators, and practitioners should be aware that the evidence of CCDSS effectiveness is limited, especially with respect to the small number and size of studies

  18. Computerized clinical decision support systems for drug prescribing and management: a decision-maker-researcher partnership systematic review.

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    Hemens, Brian J; Holbrook, Anne; Tonkin, Marita; Mackay, Jean A; Weise-Kelly, Lorraine; Navarro, Tamara; Wilczynski, Nancy L; Haynes, R Brian

    2011-08-03

    Computerized clinical decision support systems (CCDSSs) for drug therapy management are designed to promote safe and effective medication use. Evidence documenting the effectiveness of CCDSSs for improving drug therapy is necessary for informed adoption decisions. The objective of this review was to systematically review randomized controlled trials assessing the effects of CCDSSs for drug therapy management on process of care and patient outcomes. We also sought to identify system and study characteristics that predicted benefit. We conducted a decision-maker-researcher partnership systematic review. We updated our earlier reviews (1998, 2005) by searching MEDLINE, EMBASE, EBM Reviews, Inspec, and other databases, and consulting reference lists through January 2010. Authors of 82% of included studies confirmed or supplemented extracted data. We included only randomized controlled trials that evaluated the effect on process of care or patient outcomes of a CCDSS for drug therapy management compared to care provided without a CCDSS. A study was considered to have a positive effect (i.e., CCDSS showed improvement) if at least 50% of the relevant study outcomes were statistically significantly positive. Sixty-five studies met our inclusion criteria, including 41 new studies since our previous review. Methodological quality was generally high and unchanged with time. CCDSSs improved process of care performance in 37 of the 59 studies assessing this type of outcome (64%, 57% of all studies). Twenty-nine trials assessed patient outcomes, of which six trials (21%, 9% of all trials) reported improvements. CCDSSs inconsistently improved process of care measures and seldomly improved patient outcomes. Lack of clear patient benefit and lack of data on harms and costs preclude a recommendation to adopt CCDSSs for drug therapy management.

  19. Computerized clinical decision support systems for therapeutic drug monitoring and dosing: A decision-maker-researcher partnership systematic review

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    Weise-Kelly Lorraine

    2011-08-01

    Full Text Available Abstract Background Some drugs have a narrow therapeutic range and require monitoring and dose adjustments to optimize their efficacy and safety. Computerized clinical decision support systems (CCDSSs may improve the net benefit of these drugs. The objective of this review was to determine if CCDSSs improve processes of care or patient outcomes for therapeutic drug monitoring and dosing. Methods We conducted a decision-maker-researcher partnership systematic review. Studies from our previous review were included, and new studies were sought until January 2010 in MEDLINE, EMBASE, Evidence-Based Medicine Reviews, and Inspec databases. Randomized controlled trials assessing the effect of a CCDSS on process of care or patient outcomes were selected by pairs of independent reviewers. A study was considered to have a positive effect (i.e., CCDSS showed improvement if at least 50% of the relevant study outcomes were statistically significantly positive. Results Thirty-three randomized controlled trials were identified, assessing the effect of a CCDSS on management of vitamin K antagonists (14, insulin (6, theophylline/aminophylline (4, aminoglycosides (3, digoxin (2, lidocaine (1, or as part of a multifaceted approach (3. Cluster randomization was rarely used (18% and CCDSSs were usually stand-alone systems (76% primarily used by physicians (85%. Overall, 18 of 30 studies (60% showed an improvement in the process of care and 4 of 19 (21% an improvement in patient outcomes. All evaluable studies assessing insulin dosing for glycaemic control showed an improvement. In meta-analysis, CCDSSs for vitamin K antagonist dosing significantly improved time in therapeutic range. Conclusions CCDSSs have potential for improving process of care for therapeutic drug monitoring and dosing, specifically insulin and vitamin K antagonist dosing. However, studies were small and generally of modest quality, and effects on patient outcomes were uncertain, with no convincing

  20. Barriers to implementation of a computerized decision support system for depression: an observational report on lessons learned in "real world" clinical settings

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    Sunderajan Prabha

    2009-01-01

    Full Text Available Abstract Background Despite wide promotion, clinical practice guidelines have had limited effect in changing physician behavior. Effective implementation strategies to date have included: multifaceted interventions involving audit and feedback, local consensus processes, marketing; reminder systems, either manual or computerized; and interactive educational meetings. In addition, there is now growing evidence that contextual factors affecting implementation must be addressed such as organizational support (leadership procedures and resources for the change and strategies to implement and maintain new systems. Methods To examine the feasibility and effectiveness of implementation of a computerized decision support system for depression (CDSS-D in routine public mental health care in Texas, fifteen study clinicians (thirteen physicians and two advanced nurse practitioners participated across five sites, accruing over 300 outpatient visits on 168 patients. Results Issues regarding computer literacy and hardware/software requirements were identified as initial barriers. Clinicians also reported concerns about negative impact on workflow and the potential need for duplication during the transition from paper to electronic systems of medical record keeping. Conclusion The following narrative report based on observations obtained during the initial testing and use of a CDSS-D in clinical settings further emphasizes the importance of taking into account organizational factors when planning implementation of evidence-based guidelines or decision support within a system.

  1. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: Methods of a decision-maker-researcher partnership systematic review

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    Wilczynski Nancy L

    2010-02-01

    Full Text Available Abstract Background Computerized clinical decision support systems are information technology-based systems designed to improve clinical decision-making. As with any healthcare intervention with claims to improve process of care or patient outcomes, decision support systems should be rigorously evaluated before widespread dissemination into clinical practice. Engaging healthcare providers and managers in the review process may facilitate knowledge translation and uptake. The objective of this research was to form a partnership of healthcare providers, managers, and researchers to review randomized controlled trials assessing the effects of computerized decision support for six clinical application areas: primary preventive care, therapeutic drug monitoring and dosing, drug prescribing, chronic disease management, diagnostic test ordering and interpretation, and acute care management; and to identify study characteristics that predict benefit. Methods The review was undertaken by the Health Information Research Unit, McMaster University, in partnership with Hamilton Health Sciences, the Hamilton, Niagara, Haldimand, and Brant Local Health Integration Network, and pertinent healthcare service teams. Following agreement on information needs and interests with decision-makers, our earlier systematic review was updated by searching Medline, EMBASE, EBM Review databases, and Inspec, and reviewing reference lists through 6 January 2010. Data extraction items were expanded according to input from decision-makers. Authors of primary studies were contacted to confirm data and to provide additional information. Eligible trials were organized according to clinical area of application. We included randomized controlled trials that evaluated the effect on practitioner performance or patient outcomes of patient care provided with a computerized clinical decision support system compared with patient care without such a system. Results Data will be summarized

  2. A Forecasting Decision Support System

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    Sayed, Hanaa E.; Hossam A. Gabbar; Fouad, Soheir A.; Ahmed, Khalil M.; Miyazaki, Shigeji

    2008-01-01

    Nowadays forecasting is needed in many fields such as weather forecasting, population estimation, industry demand forecasting, and many others. As complexity and factors increase, it becomes impossible for a human being to do the prediction operation without support of computer system. A Decision support system is needed to model all demand factors and combine with expert opinions to enhance forecasting accuracy. In this research work, we present a decision support system using winters', simp...

  3. Decision support systems

    DEFF Research Database (Denmark)

    Jørgensen, L N; Noe, E; Langvad, A M;

    2007-01-01

    system Crop Protection Online is widely used by advisors and as a learning tool for students. Although the system has been validated in many field trials over the years and has shown reliable results, the number of end-users among farmers has been relatively low during the last 10 years (approximately...... 1000 farmers). A sociological investigation of farmers' decision-making styles in the area of crop protection has shown that arable farmers can be divided into three major groups: (a) system-orientated farmers, (b) experience-based farmers and (c) advisory-orientated farmers. The information required...

  4. Developing and testing a computerized decision support system for nurse-to-patient assignment: A multimethod study

    NARCIS (Netherlands)

    Oostveen, Catharina J.; Braaksma, Aleida; Vermeulen, Hester

    2014-01-01

    Nurse-to-patient assignment is a frequently recurring, time-consuming, and complex process owing to the many considerations involved. Creating well-balanced, high-quality assignments is crucial to ensuring patient safety, quality of care, and job satisfaction for nurses. A computerized decision supp

  5. Developing and testing a computerized decision support system for nurse-to-patient assignment: A multimethod study

    NARCIS (Netherlands)

    Oostveen, Catharina J.; Braaksma, Aleida; Vermeulen, Hester

    2014-01-01

    Nurse-to-patient assignment is a frequently recurring, time-consuming, and complex process owing to the many considerations involved. Creating well-balanced, high-quality assignments is crucial to ensuring patient safety, quality of care, and job satisfaction for nurses. A computerized decision supp

  6. Decision Support Systems in Logistics

    Science.gov (United States)

    Encheva, Sylvia; Kondratenko, Yuriy; Solesvik, Maryna Z.; Tumin, Sharil

    2008-11-01

    Experience shows that intuitive judgment and decision making is not allwas of sufficient quality and is getting worse in the presence of increasing complexity. One of the solutions to such problems is to use decision support systems. This paper focuses on assessment criteria of delivery quality in the transport logistics.

  7. Improving Emergency Department Triage Classification with Computerized Clinical Decision Support at a Pediatric Hospital

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    Kunisch, Joseph Martin

    2012-01-01

    Background: The Emergency Severity Index (ESI) is an emergency department (ED) triage classification system based on estimated patient-specific resource utilization. Rules for a computerized clinical decision support (CDS) system based on a patient's chief complaint were developed and tested using a stochastic model for predicting ESI scores.…

  8. Implementation of a Computerized Decision Support System to Improve the Appropriateness of Antibiotic Therapy Using Local Microbiologic Data

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    Manuel Rodriguez-Maresca

    2014-01-01

    Full Text Available A prospective quasi-experimental study was undertaken in 218 patients with suspicion of nosocomial infection hospitalized in a polyvalent ICU where a new electronic device (GERB has been designed for antibiotic prescriptions. Two GERB-based applications were developed to provide local resistance maps (LRMs and preliminary microbiological reports with therapeutic recommendation (PMRTRs. Both applications used the data in the Laboratory Information System of the Microbiology Department to report on the optimal empiric therapeutic option, based on the most likely susceptibility profile of the microorganisms potentially responsible for infection in patients and taking into account the local epidemiology of the hospital department/unit. LRMs were used for antibiotic prescription in 20.2% of the patients and PMRTRs in 78.2%, and active antibiotics against the finally identified bacteria were prescribed in 80.0% of the former group and 82.4% of the latter. When neither LMRs nor PMRTRs were considered for empiric treatment prescription, only around 40% of the antibiotics prescribed were active. Hence, the percentage appropriateness of the empiric antibiotic treatments was significantly higher when LRM or PMRTR guidelines were followed rather than other criteria. LRMs and PMRTRs applications are dynamic, highly accessible, and readily interpreted instruments that contribute to the appropriateness of empiric antibiotic treatments.

  9. Computerized clinical decision support systems for acute care management: A decision-maker-researcher partnership systematic review of effects on process of care and patient outcomes

    Directory of Open Access Journals (Sweden)

    Sahota Navdeep

    2011-08-01

    Full Text Available Abstract Background Acute medical care often demands timely, accurate decisions in complex situations. Computerized clinical decision support systems (CCDSSs have many features that could help. However, as for any medical intervention, claims that CCDSSs improve care processes and patient outcomes need to be rigorously assessed. The objective of this review was to systematically review the effects of CCDSSs on process of care and patient outcomes for acute medical care. Methods We conducted a decision-maker-researcher partnership systematic review. MEDLINE, EMBASE, Evidence-Based Medicine Reviews databases (Cochrane Database of Systematic Reviews, DARE, ACP Journal Club, and others, and the Inspec bibliographic database were searched to January 2010, in all languages, for randomized controlled trials (RCTs of CCDSSs in all clinical areas. We included RCTs that evaluated the effect on process of care or patient outcomes of a CCDSS used for acute medical care compared with care provided without a CCDSS. A study was considered to have a positive effect (i.e., CCDSS showed improvement if at least 50% of the relevant study outcomes were statistically significantly positive. Results Thirty-six studies met our inclusion criteria for acute medical care. The CCDSS improved process of care in 63% (22/35 of studies, including 64% (9/14 of medication dosing assistants, 82% (9/11 of management assistants using alerts/reminders, 38% (3/8 of management assistants using guidelines/algorithms, and 67% (2/3 of diagnostic assistants. Twenty studies evaluated patient outcomes, of which three (15% reported improvements, all of which were medication dosing assistants. Conclusion The majority of CCDSSs demonstrated improvements in process of care, but patient outcomes were less likely to be evaluated and far less likely to show positive results.

  10. Effects of a computerized provider order entry and a clinical decision support system to improve cefazolin use in surgical prophylaxis: a cost saving analysis

    Directory of Open Access Journals (Sweden)

    Okumura LM

    2016-09-01

    Full Text Available Background: Computerized Provider Order Entry (CPOE and Clinical Decision Support System (CDSS help practitioners to choose evidence-based decisions, regarding patients’ needs. Despite its use in developed countries, in Brazil, the impact of a CPOE/CDSS to improve cefazolin use in surgical prophylaxis was not assessed yet. Objective: We aimed to evaluate the impact of a CDSS to improve the use of prophylactic cefazolin and to assess the cost savings associated to inappropriate prescribing. Methods: This is a cross-sectional study that compared two different scenarios: one prior CPOE/CDSS versus after software implementation. We conducted twelve years of data analysis (3 years prior and 9 years after CDSS implementation, where main outcomes from this study included: cefazolin Defined Daily Doses/100 bed-days (DDD, crude costs and product of costs-DDD (cost-DDD/100 bed-days. We applied a Spearman rho non-parametric test to assess the reduction of cefazolin consumption through the years. Results: In twelve years, 84,383 vials of cefazolin were dispensed and represented 38.89 DDD/100 bed-days or USD 44,722.99. Surgical wards were the largest drug prescribers and comprised >95% of our studied sample. While in 2002, there were 6.31 DDD/100 bed-days, 9 years later there was a reduction to 2.15 (p<0.05. In a scenario without CDSS, the hospital would have consumed 75.72 DDD/100 bed-days, which is equivalent to USD 116 998.07. It is estimated that CDSS provided USD 50,433.39 of cost savings. Conclusion: The implementation of a CPOE/CDSS helped to improve prophylactic cefazolin use by reducing its consumption and estimated direct costs.

  11. Decision Support and Knowledge-Based Systems.

    Science.gov (United States)

    Konsynski, Benn R.; And Others

    1988-01-01

    A series of articles addresses issues concerning decision support and knowledge based systems. Topics covered include knowledge-based systems for information centers; object oriented systems; strategic information systems case studies; user perception; manipulation of certainty factors by individuals and expert systems; spreadsheet program use;…

  12. Indonesian Earthquake Decision Support System

    CERN Document Server

    Warnars, Spits

    2010-01-01

    Earthquake DSS is an information technology environment which can be used by government to sharpen, make faster and better the earthquake mitigation decision. Earthquake DSS can be delivered as E-government which is not only for government itself but in order to guarantee each citizen's rights for education, training and information about earthquake and how to overcome the earthquake. Knowledge can be managed for future use and would become mining by saving and maintain all the data and information about earthquake and earthquake mitigation in Indonesia. Using Web technology will enhance global access and easy to use. Datawarehouse as unNormalized database for multidimensional analysis will speed the query process and increase reports variation. Link with other Disaster DSS in one national disaster DSS, link with other government information system and international will enhance the knowledge and sharpen the reports.

  13. Sustained User Engagement in Health Information Technology: The Long Road from Implementation to System Optimization of Computerized Physician Order Entry and Clinical Decision Support Systems for Prescribing in Hospitals in England.

    Science.gov (United States)

    Cresswell, Kathrin M; Lee, Lisa; Mozaffar, Hajar; Williams, Robin; Sheikh, Aziz

    2016-10-07

    To explore and understand approaches to user engagement through investigating the range of ways in which health care workers and organizations accommodated the introduction of computerized physician order entry (CPOE) and computerized decision support (CDS) for hospital prescribing. Six hospitals in England, United Kingdom. Qualitative case study. We undertook qualitative semi-structured interviews, non-participant observations of meetings and system use, and collected organizational documents over three time periods from six hospitals. Thematic analysis was initially undertaken within individual cases, followed by cross-case comparisons. We conducted 173 interviews, conducted 24 observations, and collected 17 documents between 2011 and 2015. We found that perceived individual and safety benefits among different user groups tended to facilitate engagement in some, while other less engaged groups developed resistance and unsanctioned workarounds if systems were perceived to be inadequate. We identified both the opportunity and need for sustained engagement across user groups around system enhancement (e.g., through customizing software) and the development of user competencies and effective use. There is an urgent need to move away from an episodic view of engagement focused on the preimplementation phase, to more continuous holistic attempts to engage with and respond to end-users. © Health Research and Educational Trust.

  14. Decision support system for vehicle scheduling

    Directory of Open Access Journals (Sweden)

    C. Gaindric

    1999-08-01

    Full Text Available A decision support system (DSS is described to form schedules of traffic from a central warehouse to a set of consumers by cyclic routes. The system may be used by dispatchers at transportation enterprises. The system structure, short description of modules, and algorithms solving the originating problems are presented.

  15. Using Visualization in Cockpit Decision Support Systems

    Energy Technology Data Exchange (ETDEWEB)

    Aragon, Cecilia R.

    2005-07-01

    In order to safely operate their aircraft, pilots must makerapid decisions based on integrating and processing large amounts ofheterogeneous information. Visual displays are often the most efficientmethod of presenting safety-critical data to pilots in real time.However, care must be taken to ensure the pilot is provided with theappropriate amount of information to make effective decisions and notbecome cognitively overloaded. The results of two usability studies of aprototype airflow hazard visualization cockpit decision support systemare summarized. The studies demonstrate that such a system significantlyimproves the performance of helicopter pilots landing under turbulentconditions. Based on these results, design principles and implicationsfor cockpit decision support systems using visualization arepresented.

  16. Nitrogenius: a nitrogen decision support system

    NARCIS (Netherlands)

    Erisman, J.W.; Hensen, A.; Vries, de W.; Kros, H.; Wal, van der T.; Winter, de W.; Wien, J.E.; Elswijk, van M.; Maat, M.; Sanders, K.

    2002-01-01

    A nitrogen decision support system in the form of a game (NitroGenius) was developed for the Second International Nitrogen Conference. The aims were to: i) improve understanding among scientists and policy makers about the complexity of nitrogen pollution problems in an area of intensive agricultura

  17. Unit 127 - Spatial Decision Support Systems

    OpenAIRE

    064, CC in GIScience; Malczewski, Jacek; Keller, C Peter

    2000-01-01

    This unit focuses on the concept of Spatial Decision Support Systems (SDSS). It covers the major characteristics of spatial decision problems; the decision-making process; a definition of SDSS; principles of SDSS; the dialog, data, model (DDM) paradigm; and technologies for developing SDSS.

  18. Development and Testing of a Computerized Decision Support System to Facilitate Brief Tobacco Cessation Treatment in the Pediatric Emergency Department: Proposal and Protocol

    Science.gov (United States)

    Dexheimer, Judith W; Khoury, Jane C; Miller, Julie A; Gordon, Judith S

    2016-01-01

    Background Tobacco smoke exposure (TSE) is unequivocally harmful to children's health, yet up to 48% of children who visit the pediatric emergency department (PED) and urgent care setting are exposed to tobacco smoke. The incorporation of clinical decision support systems (CDSS) into the electronic health records (EHR) of PED patients may improve the rates of screening and brief TSE intervention of caregivers and result in decreased TSE in children. Objective We propose a study that will be the first to develop and evaluate the integration of a CDSS for Registered Nurses (RNs) into the EHR of pediatric patients to facilitate the identification of caregivers who smoke and the delivery of TSE interventions to caregivers in the urgent care setting. Methods We will conduct a two-phase project to develop, refine, and integrate an evidence-based CDSS into the pediatric urgent care setting. RNs will provide input on program content, function, and design. In Phase I, we will develop a CDSS with prompts to: (1) ASK about child TSE and caregiver smoking, (2) use a software program, Research Electronic Data Capture (REDCap), to ADVISE caregivers to reduce their child's TSE via total smoking home and car bans and quitting smoking, and (3) ASSESS their interest in quitting and ASSIST caregivers to quit by directly connecting them to their choice of free cessation resources (eg, Quitline, SmokefreeTXT, or SmokefreeGOV) during the urgent care visit. We will create reports to provide feedback to RNs on their TSE counseling behaviors. In Phase II, we will conduct a 3-month feasibility trial to test the results of implementing our CDSS on changes in RNs’ TSE-related behaviors, and child and caregiver outcomes. Results This trial is currently underway with funding support from the National Institutes of Health/National Cancer Institute. We have completed Phase I. The CDSS has been developed with input from our advisory panel and RNs, and pilot tested. We are nearing completion of

  19. Clinical decision support system in dental implantology

    OpenAIRE

    Alexandra Polášková; Jitka Feberová; Taťjána Dostálová; Pavel Kříž; Michaela Seydlová

    2013-01-01

    Implantology is rapidly developing interdisciplinary field providing enormous amounts of data to be classified, evaluated and interpreted. The analysis of clinical data remains a big challenge, because each new system has specific requirements. The aim of study was prepare specific tool for treatment planning. Decision support system is built on Expert system. It is interactive software which provides clinical recommendations and treatment planning. Expert systems are knowledge-based computer...

  20. Web-Based Group Decision Support System: an Economic Application

    Directory of Open Access Journals (Sweden)

    Ion ISTUDOR

    2010-01-01

    Full Text Available Decision Support Systems (DSS form a specific class of computerized information systems that support business and managerial decision-making activities. Making the right decision in business primarily depends on the quality of data. It also depends on the ability to analyze the data with a view to identifying trends that can suggest solutions and strategies. A “cooperative” decision support system means the data are collected, analyzed and then provided to a human agent who can help the system to revise or refine the data. It means that both a human component and computer component work together to come up with the best solution. This paper describes the usage of a software product (Vanguard System to a specific economic application (evaluating the financial risk assuming that the rate of the economic profitability can be under the value of the interest rate.

  1. Evaluating the Effectiveness of Nurse-Focused Computerized Clinical Decision Support on Urinary Catheter Practice Guidelines

    Science.gov (United States)

    Lang, Robin Lynn Neal

    2012-01-01

    A growing national emphasis has been placed on health information technology (HIT) with robust computerized clinical decision support (CCDS) integration into health care delivery. Catheter-associated urinary tract infection is the most frequent health care-associated infection in the United States and is associated with high cost, high volumes and…

  2. Clinical Productivity System - A Decision Support Model

    CERN Document Server

    Bennett, Casey C

    2012-01-01

    Purpose: This goal of this study was to evaluate the effects of a data-driven clinical productivity system that leverages Electronic Health Record (EHR) data to provide productivity decision support functionality in a real-world clinical setting. The system was implemented for a large behavioral health care provider seeing over 75,000 distinct clients a year. Design/methodology/approach: The key metric in this system is a "VPU", which simultaneously optimizes multiple aspects of clinical care. The resulting mathematical value of clinical productivity was hypothesized to tightly link the organization's performance to its expectations and, through transparency and decision support tools at the clinician level, affect significant changes in productivity, quality, and consistency relative to traditional models of clinical productivity. Findings: In only 3 months, every single variable integrated into the VPU system showed significant improvement, including a 30% rise in revenue, 10% rise in clinical percentage, a...

  3. Computerized decision support, task delegation and feedback on performance in type 2 diabetes care : the diabetes care protocol

    OpenAIRE

    Cleveringa, F.G.W.

    2010-01-01

    The increasing number of type 2 diabetes patient and the strict targets for glycemic and cardiovascular control demand a good practice organisation and task delegation. The Diabetes Care Protocol (DCP) may improve diabetes management. It consists of a diabetes consultation hour run by a practice nurse, a computerized decision support system (CDSS) that contains a diagnostic and treatment algorithm based on the Dutch type 2 diabetes guidelines and provides patient-specific treatment advice, a ...

  4. Decision support system for Wamakersvallei Winery

    CSIR Research Space (South Africa)

    Van Der Merwe, A

    2007-09-01

    Full Text Available square6 Scheduling and Quick Rescheduling box2 Problem description box2 Solution techniques square6 Layout problem box2 Problem description box2 Facility layout types box2 Possible solution techniques square6 Decision Support System 3 Wine Supply... Chain Council square6 International wine supply chain research network square6 Established July 2006 square6 Current members: box2 Supply Chain & Logistics Institute – Georgia Tech, USA box2 Dept of Industrial & Systems Eng – Catholic Univ of Chile...

  5. Neuro computing in knowledge-based decision support systems

    Energy Technology Data Exchange (ETDEWEB)

    Sirola, Miki; Lampi, Golan; Parviainen, Jukka

    2004-07-01

    Knowledge-based decision support systems of today are due to development of many decades. More and more methodologies and application areas have been involved during this time. In this paper neural methods are combined with knowledge-based methodologies. Self-Organizing Map (SOM) is used together with rule-based reasoning, and realized in a prototype of a decision support system. This system, which can be used e.g. in fault diagnosis, is based on an earlier study including compatibility analysis. A Matlab-based tool is capable of doing tasks in fault detection and identification. We show with an example how SOM analysis can help decision making in a computerized decision support system. Quantisation error between normal data and error data is one important methodological tool in this analysis. This kind of decision making is needed for instance in control room in state monitoring of a safety critical process in industry. A scenario about a leak in the primary circuit of a BWR nuclear power plant is also shortly demonstrated. (Author)

  6. Decision Support System for Fighter Pilots

    DEFF Research Database (Denmark)

    Randleff, Lars Rosenberg

    2007-01-01

    During a mission over enemy territory a fighter aircraft may be engaged by ground based threats. The pilot can use different measures to avoid the aircraft from being detected by e.g. enemy radar systems. If the enemy detects the aircraft a missile may be fired to seek and destroy the aircraft...... and countermeasures that can be applied to mitigate threats. This work is concerned with finding proper evasive actions when a fighter aircraft is engaged by ground based threats. To help the pilot in deciding on these actions a decision support system may be implemented. The environment in which such a system must...... platforms (aircraft, ships, etc.) is described. Different approaches to finding the combination of countermeasures and manoeuvres improving the pilots survivability is investigated. During training a fighter pilot will learn a set of rules to follow when threat occurs. For the pilot these rules...

  7. DECISION SUPPORT SYSTEMS FOR LOGISTICS MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Pere Tumbas

    2007-12-01

    Full Text Available The environment where managers make decisions has been significantly changed ttiese years. Today, organizations design their products in one country, purchase of materials and raw materials in the other one, production is done in the third country, and finished products are brought out in many countries in the world. Logistics, as a transaction intensive function mutually connect these substantially different business processes and enables more effective and efficient management of the long logistics chains. In realizing such a task, the intensive use of infomiation technologies that provide timely transaction processing and give support in decisionmaking processes is especially important for logistics. The work reviews information systems development in the field of logistics, and a special attention is paid to the conceptual level of the global structure in decision support systems (DSS. Possible contents of identified subsystems are cited and potential development trends of its application are discussed.

  8. Recommended practices for computerized clinical decision support and knowledge management in community settings: a qualitative study

    Directory of Open Access Journals (Sweden)

    Ash Joan S

    2012-02-01

    Full Text Available Abstract Background The purpose of this study was to identify recommended practices for computerized clinical decision support (CDS development and implementation and for knowledge management (KM processes in ambulatory clinics and community hospitals using commercial or locally developed systems in the U.S. Methods Guided by the Multiple Perspectives Framework, the authors conducted ethnographic field studies at two community hospitals and five ambulatory clinic organizations across the U.S. Using a Rapid Assessment Process, a multidisciplinary research team: gathered preliminary assessment data; conducted on-site interviews, observations, and field surveys; analyzed data using both template and grounded methods; and developed universal themes. A panel of experts produced recommended practices. Results The team identified ten themes related to CDS and KM. These include: 1 workflow; 2 knowledge management; 3 data as a foundation for CDS; 4 user computer interaction; 5 measurement and metrics; 6 governance; 7 translation for collaboration; 8 the meaning of CDS; 9 roles of special, essential people; and 10 communication, training, and support. Experts developed recommendations about each theme. The original Multiple Perspectives framework was modified to make explicit a new theoretical construct, that of Translational Interaction. Conclusions These ten themes represent areas that need attention if a clinic or community hospital plans to implement and successfully utilize CDS. In addition, they have implications for workforce education, research, and national-level policy development. The Translational Interaction construct could guide future applied informatics research endeavors.

  9. Post Disaster Assessment with Decision Support System

    Directory of Open Access Journals (Sweden)

    May Florence J. Franco

    2016-05-01

    Full Text Available The study aimed to develop an online system that would expedite the response of agencies after disaster strikes; generate a list of the kinds and volume of relief aids needed per family affected for a fair, precise and timely distribution; implement community-based ICT by remotely gathering all the necessary data needed for disaster assessment; and adhere to ISO 9126 standards. The system was designed to calculate the effects of disaster in human lives and economy. Integrated into the system were Goggle Maps, Mines and GeoSciences Bureau Hazard Maps, SMS sending features, best passable routes calculations, and decision support on the needs that has to be addressed. The system was made live at pdrrmcguimaras.herokuapp.com to allow remote data entry. The functionality and usability of the system were evaluated by 19 potential users by computing for the arithmetic Mean and Standard Deviation of the survey. The result showed that most of them strongly agreed that the system is acceptable based on these criteria. A group of IT experts also evaluated the system’s conformance to ISO 9126 standards using the same method. The result showed that majority of them strongly agreed that the system conforms to this international standard. The system is seen as a valuable tool for the Provincial Disaster Risk Reduction Management Council (PDRRMC and the National Disaster Risk Reduction Management Council (NDRRMC for it could help expedite the assessment of the effects of disasters and the formulation of response plans and strategies.

  10. Reactive Software Agent Anesthesia Decision Support System

    Directory of Open Access Journals (Sweden)

    Grant H. Kruger

    2011-12-01

    Full Text Available Information overload of the anesthesiologist through technological advances have threatened the safety of patients under anesthesia in the operating room (OR. Traditional monitoring and alarm systems provide independent, spatially distributed indices of patient physiological state. This creates the potential to distract caregivers from direct patient care tasks. To address this situation, a novel reactive agent decision support system with graphical human machine interface was developed. The system integrates the disparate data sources available in the operating room, passes the data though a decision matrix comprising a deterministic physiologic rule base established through medical research. Patient care is improved by effecting change to the care environment by displaying risk factors and alerts as an intuitive color coded animation. The system presents a unified, contextually appropriate snapshot of the patient state including current and potential risk factors, and alerts of critical patient events to the operating room team without requiring any user intervention. To validate the efficacy of the system, a retrospective analysis focusing on the hypotension rules were performed. Results show that even with vigilant and highly trained clinicians, deviations from ideal patient care exist and it is here that the proposed system may allow more standardized and improved patient care and potentially outcomes.

  11. A Geospatial Decision Support System Toolkit Project

    Data.gov (United States)

    National Aeronautics and Space Administration — We propose to design a working prototype Geospatial Decision Support Toolkit (GeoKit) that will enable scientists, agencies, and stakeholders to configure and deploy...

  12. Clinical decision support system in dental implantology

    Directory of Open Access Journals (Sweden)

    Alexandra Polášková

    2013-06-01

    Full Text Available Implantology is rapidly developing interdisciplinary field providing enormous amounts of data to be classified, evaluated and interpreted. The analysis of clinical data remains a big challenge, because each new system has specific requirements. The aim of study was prepare specific tool for treatment planning. Decision support system is built on Expert system. It is interactive software which provides clinical recommendations and treatment planning. Expert systems are knowledge-based computer programs designed to provide assistance in diagnosis and treatment planning. These systems are used for health care (dentistry, medicine, pharmacy etc.. The application contained the medical history analysis to obtaining information useful in formulating a diagnosis and providing implant insertion and prosthetic reconstruction to the patient; the diagnostic examination of dental implant procedure; implant positioning diagnosis – 3-D measurement; diagnostic information for treatment planning; treatment plan in the form of objective measurement of implant placement that helps surgeon and prosthodontics. The decision algorithm implemented by programming language is used. Core of program is an expert knowledge programming like a decision tree. The analysis of the decision-making process for implant treatment in general practice is prepared and analyzed.

  13. A problem solving framework for group decision support system

    Institute of Scientific and Technical Information of China (English)

    陈晓红; 周艳菊; 胡东滨

    2002-01-01

    A new problem solving framework for group decision support system using layer model approach is proposed. This kind of framework includes four basic layers, namely, application layer, task layer, logical layer and physical layer. Based on indicating the respective meanings of those layers a task skeleton of group decision support system and a logical structure of group decision support system generator are put forward and discussed in detail. The framework provides theoretical guidance for developing group decision support system to lower systematic development complexity and support reuse of software.

  14. Sttudy on intelligent spatial decision support system of agriculture

    Institute of Scientific and Technical Information of China (English)

    ZHANG Rong-mei; SUN Jie-li

    2006-01-01

    This paper studies how to apply GIS, ES, and Data mining and WEB technologies in agriculture Decision Support System, with the researching background of Hebei expert system for farming soil variable rate fertilization. A model of agriculture intelligent spatial decision support system is built and the key technologies to implement this system are described in details.

  15. Fault-Tolerant Onboard Monitoring and Decision Support Systems

    DEFF Research Database (Denmark)

    Lajic, Zoran

    The purpose of this research project is to improve current onboard decision support systems. Special focus is on the onboard prediction of the instantaneous sea state. In this project a new approach to increasing the overall reliability of a monitoring and decision support system has been...

  16. Management Decision Support Systems: From Theory to Practice.

    Science.gov (United States)

    Wong, Simon C. H.

    1995-01-01

    A decision support system integrates individuals' intellectual resources with computer capabilities to improve decision-making quality. This paper presents the theoretical aspects of decision making and decision support and shows how the theories can be applied in developing an operational management decision-making support system for room booking…

  17. Fault Detection for Shipboard Monitoring and Decision Support Systems

    DEFF Research Database (Denmark)

    Lajic, Zoran; Nielsen, Ulrik Dam

    2009-01-01

    In this paper a basic idea of a fault-tolerant monitoring and decision support system will be explained. Fault detection is an important part of the fault-tolerant design for in-service monitoring and decision support systems for ships. In the paper, a virtual example of fault detection will be p...

  18. Automation, decision support, and expert systems in nephrology.

    Science.gov (United States)

    Soman, Sandeep; Zasuwa, Gerard; Yee, Jerry

    2008-01-01

    Increasing data suggest that errors in medicine occur frequently and result in substantial harm to the patient. The Institute of Medicine report described the magnitude of the problem, and public interest in this issue, which was already large, has grown. The traditional approach in medicine has been to identify the persons making the errors and recommend corrective strategies. However, it has become increasingly clear that it is more productive to focus on the systems and processes through which care is provided. If these systems are set up in ways that would both make errors less likely and identify those that do occur and, at the same time, improve efficiency, then safety and productivity would be substantially improved. Clinical decision support systems (CDSSs) are active knowledge systems that use 2 or more items of patient data to generate case specific recommendations. CDSSs are typically designed to integrate a medical knowledge base, patient data, and an inference engine to generate case specific advice. This article describes how automation, templating, and CDSS improve efficiency, patient care, and safety by reducing the frequency and consequences of medical errors in nephrology. We discuss practical applications of these in 3 settings: a computerized anemia-management program (CAMP, Henry Ford Health System, Detroit, MI), vascular access surveillance systems, and monthly capitation notes in the hemodialysis unit.

  19. MOIDSS?- Mobile Online Intelligent Decision Support System Project

    Data.gov (United States)

    National Aeronautics and Space Administration — GRID has had a successfully completed Phase I 'Mobile Online Intelligent Decision Support System' (MOIDSS). The system developed into a total solution that supports...

  20. Cost-Effectiveness of the Diabetes Care Protocol, a Multifaceted Computerized Decision Support Diabetes Management Intervention That Reduces Cardiovascular Risk

    NARCIS (Netherlands)

    Cleveringa, Frits G. W.; Welsing, Paco M. J.; van den Donk, Maureen; Gorter, Kees J.; Niessen, Louis W.; Rutten, Guy E. H. M.; Redekop, William K.

    2010-01-01

    OBJECTIVE - The Diabetes Care Protocol (DCP), a multifaceted Computerized decision support diabetes management intervention, reduces cardiovascular risk Of type 2 diabetic patients. We performed a cost-effectiveness analysis of DCP from a Dutch health care perspective. RESEARCH DESIGN AND METHODS -

  1. Cost-effectiveness of the diabetes care protocol, a multifaceted computerized decision support diabetes management intervention that reduces cardiovascular risk

    NARCIS (Netherlands)

    F.G.W. Cleveringa (Frits G.); P.M.J. Welsing (Paco); M. van den Donk (Maureen); K.J. Gorter; L.W. Niessen (Louis Wilhelmus); G.E.H.M. Rutten (Guy); W.K. Redekop (Ken)

    2010-01-01

    textabstractOBJECTIVE- The Diabetes Care Protocol (DCP), a multifaceted computerized decision support diabetes management intervention, reduces cardiovascular risk of type 2 diabetic patients. We performed a cost-effectiveness analysis of DCP from a Dutch health care perspective. RESEARCH DESIGN AND

  2. Fault-Tolerant Onboard Monitoring and Decision Support Systems

    DEFF Research Database (Denmark)

    Lajic, Zoran

    a crude and simple estimation of the actual sea state (Hs and Tz), information about the longitudinal hull girder loading, seakeeping performance of the ship, and decision support on how to operate the ship within acceptable limits. The system is able to identify critical forthcoming events and to give...... advice regarding speed and course changes to decrease the wave-induced loads. The SeaSense system is based on the combined use of a mathematical model and measurements from a set of sensors. The overall dependability of a shipboard monitoring and decision support system such as the SeaSense system can......The purpose of this research project is to improve current onboard decision support systems. Special focus is on the onboard prediction of the instantaneous sea state. In this project a new approach to increasing the overall reliability of a monitoring and decision support system has been...

  3. A decision support system for farm regional planning

    Directory of Open Access Journals (Sweden)

    Papathanasiou I.

    2005-01-01

    Full Text Available This paper presents a Decision Support System (DSS for planning of farm regions in Greece. The DSS is based on the development possibilities of the agricultural sector in relation with the agricultural processing industries of the region and aims at the development of farm regions through a better utilization of available agricultural recourses and agricultural industries. The DSS uses Linear and Goal Programming models and provides for different goals alternative production plans that optimize the use of available recourses. On the other hand, the alternative plans achieve a better utilization of the existent agricultural processing industries or propose their expansion by taking into account the supply and demand of agricultural products in the region. The DSS is computerized and supported by a set of relational data bases. The corresponding software has been developed in Microsoft Windows platform, using Microsoft Visual Basic, Microsoft Access and LINDO. For demonstration reasons, the paper includes an application of the proposed DSS in the region of Servia Kozanis in Northern Greece.

  4. Marketing Decision Support Systems: Adoption, Use and Satisfaction

    NARCIS (Netherlands)

    B. Wierenga (Berend); P.A.M. Oude Ophuis

    1997-01-01

    textabstractThis paper deals with marketing decision support systems (MDSS) in companies. In a conceptual framework five categories of factors are distinguished that potentially affect adoption, use, and satisfaction: external environment factors, organizational factors, task environment factors, us

  5. Marketing decision support systems: Adoption, use and satisfaction.

    NARCIS (Netherlands)

    Wierenga, B.; Oude Ophuis, P.A.M.

    1997-01-01

    This paper deals with marketing decision support systems (MDSS) in companies. In a conceptual framework five categories of factors are distinguished that potentially affect adoption, use, and satisfaction: external environment factors, organizational factors, task environment factors, user factors a

  6. MODIS-Based Products for Operational Decision Support Systems Project

    Data.gov (United States)

    National Aeronautics and Space Administration — SMH Consulting proposes to develop a web-based decision support system to assist in Rapid Assessment, Monitoring, and Management (RAMM-DSS) on a regional scale. SMH...

  7. Marketing Decision Support Systems: Adoption, Use and Satisfaction

    NARCIS (Netherlands)

    B. Wierenga (Berend); P.A.M. Oude Ophuis (Peter)

    1997-01-01

    textabstractThis paper deals with marketing decision support systems (MDSS) in companies. In a conceptual framework five categories of factors are distinguished that potentially affect adoption, use, and satisfaction: external environment factors, organizational factors, task environment factors,

  8. Design of Decision Support System for Loans Based on Data Mining Techniques

    Directory of Open Access Journals (Sweden)

    Ahmed A. Saleh

    2016-01-01

    Full Text Available Decision Support Systems (DSS is a particular type of computerized information system that support business and organizational decision making activities. on the other hand, Data Mining (DM expand the potentials for decision support by finding styles and connections hidden in the data and in this way enabling an inductive way to deal with data analysis. Data is analyzed through a mechanized process, known as Knowledge Discovery in data mining techniques. Data mining can be characterized as a process of browsing and analysis for large amounts of data with a particular focus on discovering significantly important patterns and rules. Data mining helps discovering knowledge from raw, not equipped data. Utilizing data mining techniques permits extracting knowledge from data mart, data warehouse and, specifically cases, even from operational databases. In this paper a methodology is introduced to integrate the DSS with DM for loans to the Real Estate developments fund (REDF Customers. It causes to cooperative interaction of DSS, through getting more options to analysis, utilizing expert's data, and improving assessment process. So I will talk about the function of data mining to simplify decision support, the utilization of data mining methods in decision support systems, talking about applied approaches and present a data mining decision support system called DMDSS – (Data Mining Decision Support System. We also present some obtained results and plans for future development.

  9. Decision support system for nursing management control

    Energy Technology Data Exchange (ETDEWEB)

    Ernst, C.J.

    1983-01-01

    A knowledge representation approach for expert systems supporting decision processes in business is proposed. A description of a knowledge representation schema using a logic programming metalanguage is described, then the role of such a schema in a management expert system is demonstrated through the problem of nursing management control in hospitals. 18 references.

  10. Evolution of Decision Support Systems Research Field in Numbers

    Directory of Open Access Journals (Sweden)

    Ana-Maria SUDUC

    2010-01-01

    Full Text Available The scientific production in a certain field shows, in great extent, the research interests in that field. Decision Support Systems are a particular class of information systems which are gaining more popularity in various domains. In order to identify the evolution in time of the publications number, authors, subjects, publications in the Decision Support Systems (DSS field, and therefore the scientific world interest for this field, in November 2010 there have been organized a series of queries on three major international scientific databases: ScienceDirect, IEEE Xplore Digital Library and ACM Digital Library. The results presented in this paper shows that, even the decision support systems research field started in 1960s, the interests for this type of systems grew exponentially with each year in the last decades.

  11. GIS as spatial decision support system

    Directory of Open Access Journals (Sweden)

    V. Vostrovský

    2011-06-01

    Full Text Available This paper describes the possibility of the Geographic Information Systems (GIS as a means to support decision making in solving spatial problems. Spatial problems accompany every human activity, of which agriculture is no exception. The solutions to these problems requires the application of available knowledge in the relevant decision-making processes. GISs integrate hardware, software, and data for capturing, managing, analyzing, and displaying all forms of geographically referenced information. Coupled with GISs, geography helps to better understand and apply geographic knowledge to a host of global problems (unemployment, environmental pollution, the loss of arable land, epidemics etc.. The result may be a geographical approach represents a new way of thinking and solutions to existing spatial problems. This approach allows to apply existing knowledge to model and analyze these problems and thus help to solve them.

  12. Generic Opinion Mining System for Decision Support

    Directory of Open Access Journals (Sweden)

    Dr.P.G.Naik

    2016-04-01

    Full Text Available Social networking sites prove to be indispensible tools for decision making owing to the large repository of user views accumulated over a period of time. Such a real data can be exploited for various purposes such as making buying decisions, analysing the user views about new product launched by a company, product promotion campaign , impact of policy decisions made by a political party on society etc. In the current work the authors have proposed a generic model for feature based polarity determination by sentiment analysis of tweets. This model has been implemented by the seamless integration of R tool, XML, JAVA, Link Parser A practical multistep system, in place, efficiently extracts data from tweet text, pre-process the raw data to remove noise, and tags their polarity. Data used in the current study is derived from online product feature based reviews collected from tweeter tweets. Link parser version 4.1 b is employed for parsing a natural sentence which is broken into multiple tokens corresponding to noun and adjective before being stored in a persistent storage medium. The objectivity score is determined using SentiWordNet 3.0 lexical resource which is parsed using a tool implemented in Java. The linguistic hedges are taken care of using Zadeh’s proposition which modifies the final objectivity score. The objectivity score so computed, provides the necessary guidelines in influencing decisions. The authors have tested the model for product purchase decisions of two different sets of products, smart phone and laptop based on predefined set of features. The model is generic and can be applied to any set of products evaluated on a predefined set of features.

  13. Revisiting the dose calculation methodologies in European decision support systems

    DEFF Research Database (Denmark)

    Andersson, Kasper Grann; Roos, Per; Hou, Xiaolin;

    2012-01-01

    in connection with management of the consequences of other types of contaminating incidents, including ‘dirty bomb’ explosions. This would require a number of new modelling features and parametric changes. Also for nuclear power plant preparedness a number of revisions of the decision support systems are called......The paper presents examples of current needs for improvement and extended applicability of the European decision support systems. The systems were originally created for prediction of the radiological consequences of accidents at nuclear installations. They could however also be of great value...

  14. The Intelligent Decision Support System Model of SARS

    Institute of Scientific and Technical Information of China (English)

    ZhouXingyu; ZhangJiang; LiuYang; XieYanqing; ZhangRan; ZhaoYang; HeZhongxiong

    2004-01-01

    Based on the intelligent decision support system, a new method was presented to defense the catastrophic infectious disease such as SARS, Bird Flu, etc.. By using All Set theory, the decision support system (DSS) model can be built to analyze the noise information and forecast the trend of the catastrophe then to give the method or policy to defend the disease. The model system is composed of four subsystems: the noise analysis subsystem, forecast and simulation subsystem, diagnosis subsystem and second recovery subsystem. They are discussed briefly in this paper. This model can be used not only for SARS but also for other paroxysmal accidences.

  15. Micro-based decision support systems for stock farmers

    OpenAIRE

    H.C. De Kock; Sinclair, M. (Michael)

    2003-01-01

    Decision support systems were developed for use on stock farms. The systems were designed to run on Commodore 8032 microcomputers. They give the user quantitative results on which decisions such as feed mixes, sale of livestock, work programmes, etc can be based. In this paper these systems are described and illustrated with printouts from sample runs.

  16. Research of Agile Supply Chain Management Decision Support System

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    Agile Supply Chain Management (ASCM) is an important topic and has received much attention recently.ASCM is a new management technology.Agile Supply Chain Management Decision Support System (ASCM-DSS) is presented.Firstly, agile supply chain management technology is introduced.Secondly a decision support system for agile supply chain management is proposed.Then, the implementation of ASCM-DSS in enterprise is discussed.Finally, a fuzzy intelligence decision-making process in Shanghai Turbine Generator Company (STGC) is described in detail.

  17. System-agnostic clinical decision support services: benefits and challenges for scalable decision support.

    Science.gov (United States)

    Kawamoto, Kensaku; Del Fiol, Guilherme; Orton, Charles; Lobach, David F

    2010-01-01

    System-agnostic clinical decision support (CDS) services provide patient evaluation capabilities that are independent of specific CDS systems and system implementation contexts. While such system-agnostic CDS services hold great potential for facilitating the widespread implementation of CDS systems, little has been described regarding the benefits and challenges of their use. In this manuscript, the authors address this need by describing potential benefits and challenges of using a system-agnostic CDS service. This analysis is based on the authors' formal assessments of, and practical experiences with, various approaches to developing, implementing, and maintaining CDS capabilities. In particular, the analysis draws on the authors' experience developing and leveraging a system-agnostic CDS Web service known as SEBASTIAN. A primary potential benefit of using a system-agnostic CDS service is the relative ease and flexibility with which the service can be leveraged to implement CDS capabilities across applications and care settings. Other important potential benefits include facilitation of centralized knowledge management and knowledge sharing; the potential to support multiple underlying knowledge representations and knowledge resources through a common service interface; improved simplicity and componentization; easier testing and validation; and the enabling of distributed CDS system development. Conversely, important potential challenges include the increased effort required to develop knowledge resources capable of being used in many contexts and the critical need to standardize the service interface. Despite these challenges, our experiences to date indicate that the benefits of using a system-agnostic CDS service generally outweigh the challenges of using this approach to implementing and maintaining CDS systems.

  18. Appropriate models in decision support systems for river basin management

    NARCIS (Netherlands)

    Xu, YuePing; Booij, Martijn J.; Morell, M.; Todorovik, O.; Dimitrov, D.; Selenica, A.; Spirkovski, Z.

    2004-01-01

    In recent years, new ideas and techniques appear very quickly, like sustainability, adaptive management, Geographic Information System, Remote Sensing and participations of new stakeholders, which contribute a lot to the development of decision support systems in river basin management. However, the

  19. Decision Support Systems (DSS) in Construction Tendering Processes

    CERN Document Server

    Mohemad, Rosmayati; Othman, Zulaiha Ali; Noor, Noor Maizura Mohamad

    2010-01-01

    The successful execution of a construction project is heavily impacted by making the right decision during tendering processes. Managing tender procedures is very complex and uncertain involving coordination of many tasks and individuals with different priorities and objectives. Bias and inconsistent decision are inevitable if the decision-making process is totally depends on intuition, subjective judgement or emotion. In making transparent decision and healthy competition tendering, there exists a need for flexible guidance tool for decision support. Aim of this paper is to give a review on current practices of Decision Support Systems (DSS) technology in construction tendering processes. Current practices of general tendering processes as applied to the most countries in different regions such as United States, Europe, Middle East and Asia are comprehensively discussed. Applications of Web-based tendering processes is also summarised in terms of its properties. Besides that, a summary of Decision Support Sy...

  20. Computerized physician order entry with clinical decision support in long-term care facilities: costs and benefits to stakeholders.

    Science.gov (United States)

    Subramanian, Sujha; Hoover, Sonja; Gilman, Boyd; Field, Terry S; Mutter, Ryan; Gurwitz, Jerry H

    2007-09-01

    Nursing homes are the setting of care for growing numbers of our nation's older people, and adverse drug events are an increasingly recognized safety and quality concern in this population. Health information technology, including computerized physician/provider order entry (CPOE) with clinical decision support (CDS), has been proposed as an important systems-based approach for reducing medication errors and preventable drug-related injuries. This article describes the costs and benefits of CPOE with CDS for the various stakeholders involved in long-term care (LTC), including nurses, physicians, the pharmacy, the laboratory, the payer (e.g., the insurer), nursing home residents, and the LTC facility. Critical barriers to adoption of these systems are discussed, primarily from an economic perspective. The analysis suggests that multiple stakeholders will incur the costs related to implementation of CPOE with CDS in the LTC setting, but the costs incurred by each may not be aligned with the benefits, which may present a major barrier to broad adoption. Physicians and LTC facilities are likely to bear a large burden of the costs, whereas residents and payers will enjoy a large portion of the benefits. Consideration of these costs and benefits suggests that financial incentives to physicians and facilities may be necessary to encourage and accelerate widespread use of these systems in the LTC setting.

  1. Decision support system for treatment of dredged sediments

    NARCIS (Netherlands)

    Joziasse, J.; Bakker, T.; Eggels, P.G.

    1998-01-01

    A decision support system for treatment of dredged sediments (DSTS) has been constructed, in which the environmental effects of various treatment options applied can be compared. The effects are evaluated by scores on environmental themes like global warming and acidification, using life cycle asses

  2. Decision Support System for Optimized Herbicide Dose in Spring Barley

    DEFF Research Database (Denmark)

    Sønderskov, Mette; Kudsk, Per; Mathiassen, Solvejg K;

    2014-01-01

    Crop Protection Online (CPO) is a decision support system, which integrates decision algorithms quantifying the requirement for weed control and a herbicide dose model. CPO was designed to be used by advisors and farmers to optimize the choice of herbicide and dose. The recommendations from CPO...

  3. A Multi-criterial Decision Support System for Forest Management

    Science.gov (United States)

    Donald Nute; Geneho Kim; Walter D. Potter; Mark J. Twery; H. Michael Rauscher; Scott Thomasma; Deborah Bennett; Peter Kollasch

    1999-01-01

    We describe a research project that has as its goal development of a full-featured decision support system for managing forested land to satisfy multiple criteria represented as timber, wildlife, water, ecological, and wildlife objectives. The decision process proposed for what was originally conceived of as a Northeast Decision Model (NED) includes data acquisition,...

  4. ADDIS: A decision support system for evidence-based medicine

    NARCIS (Netherlands)

    G. van Valkenhoef (Gert); T. Tervonen (Tommi); T. Zwinkels (Tijs); B. de Brock (Bert); H.L. Hillege (Hans)

    2013-01-01

    textabstractClinical trials are the main source of information for the efficacy and safety evaluation of medical treatments. Although they are of pivotal importance in evidence-based medicine, there is a lack of usable information systems providing data-analysis and decision support capabilities for

  5. A fuzzy expert system for diabetes decision support application.

    Science.gov (United States)

    Lee, Chang-Shing; Wang, Mei-Hui

    2011-02-01

    An increasing number of decision support systems based on domain knowledge are adopted to diagnose medical conditions such as diabetes and heart disease. It is widely pointed that the classical ontologies cannot sufficiently handle imprecise and vague knowledge for some real world applications, but fuzzy ontology can effectively resolve data and knowledge problems with uncertainty. This paper presents a novel fuzzy expert system for diabetes decision support application. A five-layer fuzzy ontology, including a fuzzy knowledge layer, fuzzy group relation layer, fuzzy group domain layer, fuzzy personal relation layer, and fuzzy personal domain layer, is developed in the fuzzy expert system to describe knowledge with uncertainty. By applying the novel fuzzy ontology to the diabetes domain, the structure of the fuzzy diabetes ontology (FDO) is defined to model the diabetes knowledge. Additionally, a semantic decision support agent (SDSA), including a knowledge construction mechanism, fuzzy ontology generating mechanism, and semantic fuzzy decision making mechanism, is also developed. The knowledge construction mechanism constructs the fuzzy concepts and relations based on the structure of the FDO. The instances of the FDO are generated by the fuzzy ontology generating mechanism. Finally, based on the FDO and the fuzzy ontology, the semantic fuzzy decision making mechanism simulates the semantic description of medical staff for diabetes-related application. Importantly, the proposed fuzzy expert system can work effectively for diabetes decision support application.

  6. A Decision Support System for Ship Maintenance Capacity Planning

    NARCIS (Netherlands)

    de Boer, R.; Schutten, Johannes M.J.; Zijm, Willem H.M.

    1997-01-01

    In this paper, the basic framework and algorithms of a decision support system are discussed, which enhance process and capacity planning at a large repair shop. The research is strongly motivated by experiences in a project carried out at a dockyard, which performs repair, overhaul and modification

  7. A Decision Support System for Solving Multiple Criteria Optimization Problems

    Science.gov (United States)

    Filatovas, Ernestas; Kurasova, Olga

    2011-01-01

    In this paper, multiple criteria optimization has been investigated. A new decision support system (DSS) has been developed for interactive solving of multiple criteria optimization problems (MOPs). The weighted-sum (WS) approach is implemented to solve the MOPs. The MOPs are solved by selecting different weight coefficient values for the criteria…

  8. ADDIS: A decision support system for evidence-based medicine

    NARCIS (Netherlands)

    G. van Valkenhoef (Gert); T. Tervonen (Tommi); T. Zwinkels (Tijs); B. de Brock (Bert); H.L. Hillege (Hans)

    2013-01-01

    textabstractClinical trials are the main source of information for the efficacy and safety evaluation of medical treatments. Although they are of pivotal importance in evidence-based medicine, there is a lack of usable information systems providing data-analysis and decision support capabilities for

  9. The social side of spatial decision support systems

    NARCIS (Netherlands)

    Rodela, Romina; Bregt, Arnold K.; Ligtenberg, Arend; Pérez-Soba, Marta; Verweij, Peter

    2017-01-01

    Spatial decision support systems (SDSS) represent a step forward in efforts to account for the spatial dimension in environmental decision-making. The aim of SDSS is to help policymakers and practitioners access, interpret and understand information from data, analyses and models, and guide them in

  10. Intelligent Decision Support System for Bank Loans Risk Classification

    Institute of Scientific and Technical Information of China (English)

    杨保安; 马云飞; 俞莲

    2001-01-01

    Intelligent Decision Support System (IISS) for Bank Loans Risk Classification (BLRC), based on the way of integration Artificial Neural Network (ANN) and Expert System (ES), is proposed. According to the feature of BLRC, the key financial and non-financial factors are analyzed. Meanwhile, ES and Model Base (MB) which contain ANN are designed . The general framework,interaction and integration of the system are given. In addition, how the system realizes BLRC is elucidated in detail.

  11. Decision support system for material handling and packaging design

    Science.gov (United States)

    Johnsson, Mats I.; Mazouz, Abdel K.; Han, Chingping

    1992-02-01

    The reliability of the materials handling process involving automated stacking of packages on a pallet or automated sorting of packages in a distribution system depends mainly on the design of the package and the material used for the package. Many problems can be eliminated that result in a higher utilization of the system if the package is designed not only for the product and its requirements but also for an automated handling system with different types of grasping devices. A decision support system is being developed to help the package designer select the most appropriate material and design to satisfy the requirements of the automated materials handling process. The decision support system is programmed in C++ which gives the flexibility and portability needed for this type of system. The user interface is using graphics to ease the understanding of different design options during the selection process.

  12. Relational Algebra in Spatial Decision Support Systems Ontologies.

    Science.gov (United States)

    Diomidous, Marianna; Chardalias, Kostis; Koutonias, Panagiotis; Magnita, Adrianna; Andrianopoulos, Charalampos; Zimeras, Stelios; Mechili, Enkeleint Aggelos

    2017-01-01

    Decision Support Systems (DSS) is a powerful tool, for facilitates researchers to choose the correct decision based on their final results. Especially in medical cases where doctors could use these systems, to overcome the problem with the clinical misunderstanding. Based on these systems, queries must be constructed based on the particular questions that doctors must answer. In this work, combination between questions and queries would be presented via relational algebra.

  13. Decision support systems for robotic surgery and acute care

    Science.gov (United States)

    Kazanzides, Peter

    2012-06-01

    Doctors must frequently make decisions during medical treatment, whether in an acute care facility, such as an Intensive Care Unit (ICU), or in an operating room. These decisions rely on a various information sources, such as the patient's medical history, preoperative images, and general medical knowledge. Decision support systems can assist by facilitating access to this information when and where it is needed. This paper presents some research eorts that address the integration of information with clinical practice. The example systems include a clinical decision support system (CDSS) for pediatric traumatic brain injury, an augmented reality head- mounted display for neurosurgery, and an augmented reality telerobotic system for minimally-invasive surgery. While these are dierent systems and applications, they share the common theme of providing information to support clinical decisions and actions, whether the actions are performed with the surgeon's own hands or with robotic assistance.

  14. Pricing Decision Support System for Generation Companies in Electricity Market

    Institute of Scientific and Technical Information of China (English)

    FangDebin; WangXianjia

    2005-01-01

    In order to meet the requirement of separating power plants from power network and that of the competition based power transaction in power market, the pricing decision support system for generation companies (GCPDSS) is built in electricity market. This paper introduces the conception of intelligent decision support system (IDSS) and puts emphasis on the systematical structural framework,work process, design principal, and fundamental function of GCPDSS. The system has the module to analyze the cost, to forecast the demand of power, to construct the pricing strategies, to manage the pricing risk, and to dispatch giving the pricing strategies.The case study illustrates that the friendly window-based user interface of the system enables the user to take full advantage of the capabilities of the system in order to make effective real-time decisions.

  15. Computational intelligence for decision support in cyber-physical systems

    CERN Document Server

    Ali, A; Riaz, Zahid

    2014-01-01

    This book is dedicated to applied computational intelligence and soft computing techniques with special reference to decision support in Cyber Physical Systems (CPS), where the physical as well as the communication segment of the networked entities interact with each other. The joint dynamics of such systems result in a complex combination of computers, software, networks and physical processes all combined to establish a process flow at system level. This volume provides the audience with an in-depth vision about how to ensure dependability, safety, security and efficiency in real time by making use of computational intelligence in various CPS applications ranging from the nano-world to large scale wide area systems of systems. Key application areas include healthcare, transportation, energy, process control and robotics where intelligent decision support has key significance in establishing dynamic, ever-changing and high confidence future technologies. A recommended text for graduate students and researche...

  16. Computerised decision support systems for healthcare professionals: an interpretative review

    Directory of Open Access Journals (Sweden)

    Kathrin Cresswell

    2013-03-01

    Full Text Available Purpose Computerised decision support systems are designed to support clinicians in making decisions and thereby enhance the quality and safety of care. We aimed to undertake an interpretative review of the empirical evidence on computerised decision support systems, their contexts of use, and summarise evidence on the effectiveness of these tools and insights into how these can be successfully implemented and adopted.Methods We systematically searched the empirical literature to identify systematic literature reviews on computerised decision support applications and their impact on the quality and safety of healthcare delivery over a 13-year period (1997–2010. The databases searched included: MEDLINE, EMBASE, The Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects, The Cochrane Central Register of Controlled Trials, The Cochrane Methodology Register, The Health Technology Assessment Database, and The National Health Service (NHS Economic Evaluation Database. To be eligible for inclusion, systematic reviews needed to address computerised decision support systems, and at least one of the following: impact on safety; quality; or organisational, implementation or adoption considerations.Results Our searches yielded 121 systematic reviews relating to eHealth, of which we identified 41 as investigating computerised decision support systems. These indicated that, whilst there was a lack of investigating potential risks, such tools can result in improvements in practitioner performance in the promotion of preventive care and guideline adherence, particularly if specific information is available in real time and systems are effectively integrated into clinical workflows. However, the evidence regarding impact on patient outcomes was less clear-cut with reviews finding either no, inconsistent or modest benefits.Conclusions Whilst the potential of clinical decision support systems in improving, in particular

  17. Coherent Frameworks for Statistical Inference serving Integrating Decision Support Systems

    OpenAIRE

    2015-01-01

    A subjective expected utility policy making centre, managing complex, dynamic systems, needs to draw on the expertise of a variety of disparate panels of experts and integrate this information coherently. To achieve this, diverse supporting probabilistic models need to be networked together, the output of one model providing the input to the next. In this paper we provide a technology for designing an integrating decision support system and to enable the centre to explore and compare the effi...

  18. Revisiting the dose calculation methodologies in European decision support systems

    OpenAIRE

    Andersson, Kasper Grann; Roos, Per; Hou, Xiaolin; Nielsen, Sven Poul; Qiao, Jixin

    2012-01-01

    The paper presents examples of current needs for improvement and extended applicability of the European decision support systems. The systems were originally created for prediction of the radiological consequences of accidents at nuclear installations. They could however also be of great value in connection with management of the consequences of other types of contaminating incidents, including ‘dirty bomb’ explosions. This would require a number of new modelling features and parametric chang...

  19. Advanced intelligent computational technologies and decision support systems

    CERN Document Server

    Kountchev, Roumen

    2014-01-01

    This book offers a state of the art collection covering themes related to Advanced Intelligent Computational Technologies and Decision Support Systems which can be applied to fields like healthcare assisting the humans in solving problems. The book brings forward a wealth of ideas, algorithms and case studies in themes like: intelligent predictive diagnosis; intelligent analyzing of medical images; new format for coding of single and sequences of medical images; Medical Decision Support Systems; diagnosis of Down’s syndrome; computational perspectives for electronic fetal monitoring; efficient compression of CT Images; adaptive interpolation and halftoning for medical images; applications of artificial neural networks for real-life problems solving; present and perspectives for Electronic Healthcare Record Systems; adaptive approaches for noise reduction in sequences of CT images etc.

  20. Decision Support Systems - Technical Prerequisites and Military Requirements

    CERN Document Server

    Tolk, Andreas

    2010-01-01

    Decision Support Systems in the sense of online alternative course of action (ACAO) development and analysis as well as tools for online Development of Doctrine and Tactics Techniques, and Procedures (DTTP) for support to operations make it possible to evaluate and forecast the command and control processes and the performance capabilities of the friendly and enemy forces and other decision relevant factors, support the military commander (brigade and higher) and his staff in their headquarter by increasing their ability to identify own opportunities, support all phases of the command and control process, use computer based, automatic and closed models, that can be adapted to the current situation. Objective of the paper is to present the results of studies conducted in Germany on behalf of the German Ministry of Defense with the objective to work out the conceptual basis for decision support systems and to evaluate, how this technique will influence the command and control system of the army of the federal a...

  1. Visitor schedule management system- an intelligent decision support system

    CERN Document Server

    Nidhra, Srinivas; Ethiraj, Vinay Sudha

    2012-01-01

    Travelling salesman problem is a problem which is of high interest for researchers, industry professionals, and academicians. Visitor or salesman used to face lot of problems with respect to scheduling based on meeting top ranked clients. Even excel sheet made the work tedious. So these flaws propelled us to design an intelligent decision support system. This paper reports the problem definition we tried to address and possible solution to this problem. We even explained the project design and implementation of our visitor schedule management system.. Our system made a major contribution in terms of valuable resources such as time and satisfying high ranked clients efficiently. We used optimization via mathematical programming to solve these issues.

  2. Group Decision Support Systems and Group Communication: A Comparison of Decision Making in Computer-Supported and Nonsupported Groups.

    Science.gov (United States)

    Poole, Marshall Scott; And Others

    1993-01-01

    Explores the effects of Group Decision Support Systems (GDSS) on small group communication and decision-making processes. Finds that comparing GDSS, manual, and baseline conditions enables separation of effects resulting from procedural structures from those resulting from computerization. Results support some aspects of the research model and…

  3. 应用计算机决策支持系统制定血液透析患者促红细胞生成素剂量%Computerized decision support system for erythropoietin dosage in hemodialysis patients

    Institute of Scientific and Technical Information of China (English)

    李博睿; 邹洪斌

    2016-01-01

    目的:血液透析患者贫血相关治疗管理目前存在很大的挑战性,探讨是否能通过经计算机决策支持(CDS)系统制定促红细胞生成素使用剂量对改善肾性贫血有帮助。方法选择2013年10月至2014年4月吉林大学第二医院血液透析中心给予促红素治疗持续3个月慢性肾脏病5期的患者564例,其中男性296例,女性268例;年龄22~83岁,平均年龄43.21岁。将患者分为人工组及CDS组,人工组493例,CDS组71例。依据患者干体质量、红细胞压积变化调整促红细胞生成素剂量,监测并观察患者血红蛋白变化,统计两组数据并做统计学分析。结果两组患者年龄主要集中在中年组(45~59岁)。终末期肾病病因主要是糖尿病肾病。两组患者贫血相关生物化学指标变化稳定,无明显差异。经调整中心和基线差异后每周平均促红细胞生成素剂量CDS组比人工组减少4%(率比0.96;95%可信区间0.77~1.18),差异无统计学意义(P>0.05)。两组监测的血红蛋白变化幅度很相似(σ2=1.30)。分析两组血红蛋白值调整比值比和未调整比值比,得出人工组平均血红蛋白值为118 g/L(标准误2 g/L),比CDS组低1.1 g/L(标准误0.4 g/L)(P0.05)。结论两种促红细胞生成素给药方式对比,两组患者每月血红蛋白值在100~120 g/L波动,治疗效果无明显差别,但CDS组促红细胞生成素总剂量较人工组少。%Objective To explore the erythropoietin(EPO) dosage for improvement of renal anemia by computerized decision support(CDS), because of anemia management in hemodialysis patients poses significant challenges. Method A total of 564 patients with chronic kidney disease fifth phase who received EPO treatment at the Second Hospital of Jilin University Dialysis Units at least 3-month from October 2013 to April 2014 were enrolled, which included 296 males and 268 females, aged 22-83 years

  4. Behavior-aware decision support systems : LDRD final report.

    Energy Technology Data Exchange (ETDEWEB)

    Hirsch, Gary B.; Homer, Jack (Homer Consulting); Chenoweth, Brooke N.; Backus, George A.; Strip, David R.

    2007-11-01

    As Sandia National Laboratories serves its mission to provide support for the security-related interests of the United States, it is faced with considering the behavioral responses that drive problems, mitigate interventions, or lead to unintended consequences. The effort described here expands earlier works in using healthcare simulation to develop behavior-aware decision support systems. This report focuses on using qualitative choice techniques and enhancing two analysis models developed in a sister project.

  5. Medical decision support systems and therapeutics: The role of autopilots.

    Science.gov (United States)

    Woosley, R L; Whyte, J; Mohamadi, A; Romero, K

    2016-02-01

    For decades, medical practice has increasingly relied on prescription medicines to treat, cure, or prevent illness but their net benefit is reduced by prescribing errors that result in adverse drug reactions (ADRs) and tens of thousands of deaths each year. Optimal prescribing requires effective management of massive amounts of data. Clinical decision support systems (CDSS) can help manage information and support optimal therapeutic decisions before errors are made by operating as the prescribers' "autopilot."

  6. A Stochastic Decision Support System for Economic Order Quantity Problem

    Directory of Open Access Journals (Sweden)

    Amir Yousefli

    2012-01-01

    Full Text Available Improving decisions efficiency is one of the major concerns of the decision support systems. Specially in the uncertain environment, decision support systems could be implemented efficiently to simplify decision making process. In this paper stochastic economic order quantity (EOQ problem is investigated in which decision variables and objective function are uncertain in nature and optimum probability distribution functions of them are calculated through a geometric programming model. Obtained probability distribution functions of the decision variables and the objective function are used as optimum knowledge to design a new probabilistic rule base (PRB as a decision support system for EOQ model. The developed PRB is a new type of the stochastic rule bases that can be used to infer optimum or near optimum values of the decision variables and the objective function of the EOQ model without solving the geometric programming problem directly. Comparison between the results of the developed PRB and the optimum solutions which is provided in the numerical example illustrates the efficiency of the developed PRB.

  7. Recent developments associated with decision support systems in water resources

    Science.gov (United States)

    Watkins, David W.; McKinney, Daene C.

    1995-07-01

    In order to limit the scope of this review, a working definition of a decision support system is needed. L. Adelman has defined decision support systems (DSSs) as "interactive computer programs that utilize analytical methods, such as decision analysis, optimization algorithms, program scheduling routines, and so on, for developing models to help decision makers formulate alternatives, analyze their impacts, and interpret and select appropriate options for implementation" (Adelman [1992], p. 2). Another definition has been offered by S. J. Andriole, who defined decision support as consisting of "any and all data, information, expertise or activities that contribute to option selection" (Andriole [1989], p. 3). A common idea explicit in each of these definitions is that DSSs integrate various technologies and aid in option selection. Implicit in each definition is that these are options for solving relatively large, unstructured problems. Thus, the following working definition of a DSS will be used in this review: A DSS is an integrated, interactive computer system, consisting of analytical tools and information management capabilities, designed to aid decision makers in solving relatively large, unstructured problems.

  8. Decision support basics

    CERN Document Server

    Power, Daniel J

    2009-01-01

    This book is targeted to busy managers and MBA students who need to grasp the basics of computerized decision support. Some of the topics covered include: What is a DSS? What do managers need to know about computerized decision support? And how can managers identify opportunities to create innovative DSS? Overall the book addresses 35 fundamental questions that are relevant to understanding computerized decision support.

  9. Decision Support in Heart Disease Prediction System using Naive Bayes

    Directory of Open Access Journals (Sweden)

    G.Subbalakshmi,

    2011-04-01

    Full Text Available Data Mining refers to using a variety of techniques to identify suggest of information or decision making knowledge in thedatabase and extracting these in a way that they can put to use in areas such as decision support, predictions, forecasting and estimation. The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not “mined” to discover hidden information for effective decision making. Discovering relations that connect variables in a database is the subject of data mining. This research has developed a Decision Support in Heart Disease Prediction System (DSHDPS using data mining modeling technique, namely, Naïve Bayes. Using medical profiles such as age, sex, blood pressure and blood sugar it can predict the likelihood of patients getting a heart disease. It is implemented as web based questionnaire application. It can serve a training tool to train nurses and medical students to diagnose patients with heart disease.

  10. Developing the US Wildland Fire Decision Support System

    Directory of Open Access Journals (Sweden)

    Erin K. Noonan-Wright

    2011-01-01

    Full Text Available A new decision support tool, the Wildland Fire Decision Support System (WFDSS has been developed to support risk-informed decision-making for individual fires in the United States. WFDSS accesses national weather data and forecasts, fire behavior prediction, economic assessment, smoke management assessment, and landscape databases to efficiently formulate and apply information to the decision making process. Risk-informed decision-making is becoming increasingly important as a means of improving fire management and offers substantial opportunities to benefit natural and community resource protection, management response effectiveness, firefighter resource use and exposure, and, possibly, suppression costs. This paper reviews the development, structure, and function of WFDSS, and how it contributes to increased flexibility and agility in decision making, leading to improved fire management program effectiveness.

  11. Decision Support Systems (DSS in Construction Tendering Processes

    Directory of Open Access Journals (Sweden)

    Rosmayati Mohemad

    2010-03-01

    Full Text Available The successful execution of a construction project is heavily impacted by making the right decision during tendering processes. Managing tender procedures is very complex and uncertain involving coordination of many tasks and individuals with different priorities and objectives. Bias and inconsistent decision are inevitable if the decision-making process is totally depends on intuition, subjective judgement or emotion. In making transparent decision and healthy competition tendering, there exists a need for flexible guidance tool for decision support. Aim of this paper is to give a review on current practices of Decision Support Systems (DSS technology in construction tendering processes. Current practices of general tendering processes as applied to the most countries in different regions such as United States, Europe, Middle East and Asia are comprehensively discussed. Applications of Web-based tendering processes is also summarised in terms of its properties. Besides that, a summary of Decision Support System (DSS components is included in the next section. Furthermore, prior researches on implementation of DSS approaches in tendering processes are discussed in details. Current issues arise from both of paper-based and Web-based tendering processes are outlined. Finally, conclusion is included at the end of this paper.

  12. Semantic Interoperability in Clinical Decision Support Systems: A Systematic Review.

    Science.gov (United States)

    Marco-Ruiz, Luis; Bellika, Johan Gustav

    2015-01-01

    The interoperability of Clinical Decision Support (CDS) systems with other health information systems has become one of the main limitations to their broad adoption. Semantic interoperability must be granted in order to share CDS modules across different health information systems. Currently, numerous standards for different purposes are available to enable the interoperability of CDS systems. We performed a literature review to identify and provide an overview of the available standards that enable CDS interoperability in the areas of clinical information, decision logic, terminology, and web service interfaces.

  13. Knowledge-based decision support systems: social significance

    Energy Technology Data Exchange (ETDEWEB)

    Bendifallah, S.

    1982-01-01

    Methodologies applied in the utilization of computer systems for decision support reflect the twin facets of automation: the use of computers as knowledge technologies which facilitate or even take over human labor, and the often Tayloristic situations within which they are used. The paper is concerned with non-Tayloristic, convivial and congenial methodologies for the acquisition, accumulation and utilization of knowledge. It emphasizes the contribution of artificial intelligence research in knowledge engineering as exemplified by knowledge-based (expert) systems, distributed problem solving architectures, and goal-directed decision structuring systems. 20 references.

  14. Evaluation of a Computerized Decision Support Intervention to Decrease Use of Anti-Pseudomonal Carbapenems in Penicillin Allergic Patients

    Directory of Open Access Journals (Sweden)

    Christina Caplinger

    2016-01-01

    Full Text Available Allergies to β-lactam antibiotics are commonly documented in hospitalized patients; however, true allergy is uncommon. Cross-reactivity rates for advanced generation cephalosporins and carbapenems are low; particularly for patients without a history of symptoms consistent with type 1 hypersensitivity. We observed that providers preferentially prescribed antipseudomonal carbapenems (APC over advanced generation cephalosporins for patients with β-lactam allergy history, including those with low risk for antimicrobial-resistant infections. Information was inserted into the computerized decision support system (CDSS to aid clinicians in assessing β-lactam cross-reactivity risk and selecting appropriate therapy. A retrospective evaluation was conducted in a small hospital to assess the impact of the CDSS changes in APC prescribing. Inpatients (n = 68 who received at least one APC dose during hospitalization over a 13 month pre-intervention period were compared to inpatients who received an APC during the 15 month post-intervention period (n = 59 for documented APC indications and β-lactam allergy history. APC initiations were measured and corrected per 1000 patient-days; interrupted time-series analysis was performed to assess changes in use before and after implementation. Aggregate monthly APC initiations decreased from 7.01 to 6.14 per 1000 patient-days after the implementation (p = 0.03. Post-intervention APC initiations for patients with low-risk β-lactam histories decreased from 92% to 83% (p = 0.17. No adverse events were observed in patients with low-risk β-lactam histories. The intervention was associated with a reduction in APC initiations.

  15. A water management decision support system contributing to sustainability

    Science.gov (United States)

    Horváth, Klaudia; van Esch, Bart; Baayen, Jorn; Pothof, Ivo; Talsma, Jan; van Heeringen, Klaas-Jan

    2017-04-01

    Deltares and Eindhoven University of Technology are developing a new decision support system (DSS) for regional water authorities. In order to maintain water levels in the Dutch polder system, water should be drained and pumped out from the polders to the sea. The time and amount of pumping depends on the current sea level, the water level in the polder, the weather forecast and the electricity price forecast and possibly local renewable power production. This is a multivariable optimisation problem, where the goal is to keep the water level in the polder within certain bounds. By optimizing the operation of the pumps the energy usage and costs can be reduced, hence the operation of the regional water authorities can be more sustainable, while also anticipating on increasing share of renewables in the energy mix in a cost-effective way. The decision support system, based on Delft-FEWS as operational data-integration platform, is running an optimization model built in RTC-Tools 2, which is performing real-time optimization in order to calculate the pumping strategy. It is taking into account the present and future circumstances. As being the core of the real time decision support system, RTC-Tools 2 fulfils the key requirements to a DSS: it is fast, robust and always finds the optimal solution. These properties are associated with convex optimization. In such problems the global optimum can always be found. The challenge in the development is to maintain the convex formulation of all the non-linear components in the system, i.e. open channels, hydraulic structures, and pumps. The system is introduced through 4 pilot projects, one of which is a pilot of the Dutch Water Authority Rivierenland. This is a typical Dutch polder system: several polders are drained to the main water system, the Linge. The water from the Linge can be released to the main rivers that are subject to tidal fluctuations. In case of low tide, water can be released via the gates. In case of high

  16. Application of GIS in foreign direct investment decision support system

    Science.gov (United States)

    Zhou, Jianlan; Sun, Koumei

    2007-06-01

    It is important to make decisions on how to attract foreign direct investment (FDI) to China and know how the inequality of FDI introduction by locational different provinces. Following background descriptions on China's FDI economic environments and FDI-related policies, this paper demonstrates the uses of geographical information system (GIS) and multi-criterion decision-making (MCDM) framework in solving a spatial multi-objective problem of evaluating and ranking China's provinces for FDI introduction. It implements a foreign direct investment decision support system, which reveals the main determinants of FDI in China and gives some results of regional geographical analysis over spatial data.

  17. Decision support system for individualized nursing procedures: SAPIEN-Tx.

    Science.gov (United States)

    Ito, M; Ramos, M P; Chern, M S; Espósito, S R; Carmagnani, M I; Cunha, I C; Piveta, V M; Nespoulos, E; Iwasa, A T; Anção, M S

    1995-01-01

    The present work proposes a Decision Support System for nursing procedures: SAPIEN-Tx. The discussion includes the acquisition, modeling , and implementation of nursing expertise professionals in Renal Transplant. It was developed to obtain better quality healthcare services, as well as an effective contribution to the nursing professional in the global assistance of their clientele. We used the KADS methodology to develop the system knowledge base. This methodology permitted us to perform the knowledge modeling with quality and organization. In opposition to the old method, errors were detected before the implementation, avoiding possible modification on the whole project structure.

  18. Decision support system for economic value of irrigation water

    Science.gov (United States)

    El-Gafy, Inas; El-Ganzori, Akram

    2012-06-01

    The mismatch between the supply and demand, inequitable distribution and the over irrigation of water consuming crops are the main constraints that are faced in the implementation of the integrated water resources management in Egypt. With water scarcity, the problem under consideration is that the current cropping pattern is not economically efficient in the utilization of the available water resource. Moreover, in consequence of the importance of the agricultural sector to the national economies, it is necessary to be aware of the economic performance of water use in the crops production. The scope of this study is to develop economic value of irrigation water maps of Egypt. The objective of the study is carried out by acquiring a Decision Support System for economic value of irrigation water of Egypt. This Decision Support System is applied for developing economic value maps for the irrigation water that is used for cultivating 45 crops under cereal, fiber, legumes, and vegetables, herbalist, and forages categories at each governorate of Egypt in year 2008 and 2009. The crops that achieve the highest and lowest economic value of irrigation water at each governorate of Egypt were identified. The reasons of the variations in the economic value of irrigation water at the governorates of Egypt were determined. The developed Decision Support System could be used yearly as a tool for demonstrating a picture about the economic value of irrigation water for the decision makers in the areas of water resources and agriculture. The developed economic value of irrigation water maps can be used in proposing a cropping pattern that maximizes the economic value of irrigation water in each governorate of Egypt.

  19. A Cooperative Intelligent Decision Support System for Contingency Management

    Directory of Open Access Journals (Sweden)

    Abdelkader ADLA

    2006-01-01

    Full Text Available Traditional Decision Support Systems (DSS give not enough possibilities of intervention to the user. These systems are reduced to an insular and very technical state in which the objective is not support decision but to dump data on the screen in the hope that the user will know what to do with. In complex situations, decision is not structured and it becomes primordial to design intelligent and cooperative systems allowing a joint resolution of problem based on dynamic sharing of the tasks between the user and the system and according to problems to be solved. In this perspective, we propose a cooperative architecture for intelligent decision support system. The framework embeds expert knowledge within the DSS to provide intelligent DSS using collaboration technologies by putting the decision maker effectively in the loop of the decision process. To this end, we used a structure based on domain and task conceptual modelling. Applicability and relevance of this model are illustrated through a case study where the system and the operator cooperate in decision problem which consists of identifying boiler defects, diagnosing and suggesting actions of cure.

  20. Supernumerary teeth: Review of literature and decision support system

    Directory of Open Access Journals (Sweden)

    Deepti Amarlal

    2013-01-01

    Full Text Available Supernumerary teeth are those which are additional or in excess of the normal number. They can be either single or multiple, unilateral or bilateral and can be present anywhere in the dental arch with predilection for the premaxilla. Supernumerary teeth are mostly classified on position and form. Timing of surgical intervention of supernumerary teeth has been controversial with various authors having different opinions. Hence a new decision support system is put forward which can help in the treatment planning of supernumerary teeth.

  1. Collaborative Decision Support Systems for Primary Health care Managers

    Directory of Open Access Journals (Sweden)

    Gunjan Pahuja

    2012-03-01

    Full Text Available In this paper, a collaborative DSS Model for health care systems and results obtained are described. The proposed framework [1] embeds expert knowledge within DSS to provide intelligent decision support, and implements the intelligent DSS using collaboration technologies. The problem space contains several Hub and Spoke networks. Information about such networks is dynamically captured and represented in a Meta-data table. This master table enables collaboration between any two networks in the problem space, through load transfer, between them. In order to show the collaboration the sample database of 15 health care centers is taken assuming that there are 5 health care centers in one network.

  2. Data assimilation in the decision support system RODOS

    DEFF Research Database (Denmark)

    Rojas-Palma, C.; Madsen, H.; Gering, F.;

    2003-01-01

    Model predictions for a rapid assessment and prognosis of possible radiological consequences after an accidental release of radionuclides play an important role in nuclear emergency management. Radiological observations, e.g. dose rate measurements. can be used to improve such model predictions....... The process of combining model predictions and observations, usually referred to as data assimilation, is described in this article within the framework of the real time on-line decision support system (RODOS) for off-site nuclear emergency management in Europe. Data assimilation capabilities, based on Kalman...

  3. DECISIONS, METHODS AND TECHNIQUES RELATED TO DECISION SUPPORT SYSTEMS (DSS

    Directory of Open Access Journals (Sweden)

    Boghean Florin

    2015-07-01

    Full Text Available Generalised uncertainty, a phenomenon that today’s managers are facing as part of their professional experience, makes it impossible to anticipate the way the business environment will evolve or what will be the consequences of the decisions they plan to implement. Any decision making process within the company entails the simultaneous presence of a number of economic, technical, juridical, human and managerial variables. The development and the approval of a decision is the result of decision making activities developed by the decision maker and sometimes by a decision support team or/and a decision support system (DSS. These aspects related to specific applications of decision support systems in risk management will be approached in this research paper. Decisions in general and management decisions in particular are associated with numerous risks, due to their complexity and increasing contextual orientation. In each business entity, there are concerns with the implementation of risk management in order to improve the likelihood of meeting objectives, the trust of the parties involved, increase the operational safety and security as well as the protection of the environment, minimise losses, improve organisational resilience in order to diminish the negative impact on the organisation and provide a solid foundation for decision making. Since any business entity is considered to be a wealth generator, the analysis of their performance should not be restricted to financial efficiency alone, but will also encompass their economic efficiency as well. The type of research developed in this paper entails different dimensions: conceptual, methodological, as well as empirical testing. Subsequently, the conducted research entails a methodological side, since the conducted activities have resulted in the presentation of a simulation model that is useful in decision making processes on the capital market. The research conducted in the present paper

  4. How Turing and Wolf influenced my Decision Support Systems.

    Science.gov (United States)

    Richards, Bernard

    2013-01-01

    Decision Support Systems (DSS) have a vital role to play in today's scenario for Patient Care. They can embody a vast knowledge not normally found in one individual where diagnosis and treatment are involved. This paper highlights the training in minute details and precise mathematics needed in a successful DSS and indicates how such attention-to-detail was instilled into the writer as a result of working with Alan Turing and Emil Wolf who have both since achieved world-wide recognition in their own fields as a result of international publicity by the current writer. The article discusses four Decision Support Systems written by the present writer all of which have been shown to improve patient treatment and care, and which are of such complexity that, without their use, patient care would fall short of optimum. The Systems considered are those for Intensive Care Units, Cardiovascular Surgery, a Programmed Investigation Unit, and Diagnosis of Congenital Abnormalities. All these Systems have performed better than the human alternatives and have shown their value in the improvement of patient care.

  5. Toward generalized decision support systems for flood risk management

    Directory of Open Access Journals (Sweden)

    Muste Marian V.

    2016-01-01

    Full Text Available Despite the emergence of a large number of specialized decision-support systems (DSS in the last decades, currently there are fewer efforts made for integrating the flood risk management relevant sciences with information and communication technologies into generalized DSS. Such systems are expected to formulate decision options for prevention, mitigation, preparation, response, and recovery from flood impacts with consideration of climate change, socio-economic evolution, and stakeholders’ input. Currently, there is no unified vision on the architecture, components, and the needed computer and communications technologies for attaining generic DSS for flood mitigation and resilience. Moreover, there is no guidance of what components should be developed first and in what order and how to efficiently include human-computer interfaces for efficient stakeholder engagement and consensus. This paper calls for the formation of a strategic global partnership for framing and subsequently assisting in the development of a generalized flood DSS (FLOODSS that can overcome the current flood DSS limitations. The call is preceded by a review of the flood decision-support terminology and context. Subsequently, an initial vision on the FLOODSS is outlined and the steps for transitioning such a system from vision to practice are proposed.

  6. A decision support system for AIDS intervention and prevention.

    Science.gov (United States)

    Xu, L D

    1994-08-01

    In recent years, the importance of information systems has been identified as a vital issue to continuing success in AIDS intervention and prevention (AIP). The advances in information technology have resulted in integrative information systems including decision support systems (DSS). The concept of DSS for AIP was created at the intersection of two trends. The first trend was a growing belief that AIP information systems are successful in automating operations in AIP programs. The second was a continuing improvement in modeling and software development in the AIP area. This paper presents an integrated DSS for AIP. The system is integrated with a database and achieves its efficiency by incorporating various algorithms and models to support AIP decision processes. The application examples include screening AIDS-risky behaviors, evaluating educational interventions, and scheduling AIP sessions. The implementation results present evidence of the usefulness of the system in AIP.

  7. A Decision Support System for Concrete Bridge Maintenance

    Science.gov (United States)

    Rashidi, Maria; Lemass, Brett; Gibson, Peter

    2010-05-01

    The maintenance of bridges as a key element in transportation infrastructure has become a major concern for asset managers and society due to increasing traffic volumes, deterioration of existing bridges and well-publicised bridge failures. A pivotal responsibility for asset managers in charge of bridge remediation is to identify the risks and assess the consequences of remediation programs to ensure that the decisions are transparent and lead to the lowest predicted losses in recognized constraint areas. The ranking of bridge remediation treatments can be quantitatively assessed using a weighted constraint approach to structure the otherwise ill-structured phases of problem definition, conceptualization and embodiment [1]. This Decision Support System helps asset managers in making the best decision with regards to financial limitations and other dominant constraints imposed upon the problem at hand. The risk management framework in this paper deals with the development of a quantitative intelligent decision support system for bridge maintenance which has the ability to provide a source for consistent decisions through selecting appropriate remediation treatments based upon cost, service life, product durability/sustainability, client preferences, legal and environmental constraints. Model verification and validation through industry case studies is ongoing.

  8. Clinical Decision Support Systems: A Useful Tool in Clinical Practice

    Directory of Open Access Journals (Sweden)

    Kolostoumpis G.

    2012-01-01

    Full Text Available The possibility of supporting in decision – making shows an increase in recent years. Based on mathematic simulation tools, knowledge databases, processing methods, medical data and methods, artificial intelligence for coding of the available knowledge and for resolving complex problems arising into clinical practice. Aim: the aim of this review is to present the development of new methods and modern services, in clinical practice and the emergence in their implementation. Data and methods: the methodology that was followed included research of articles that referred to health sector and modern technologies, at the electronic data bases “pubmed” and “medline”. Results: Is a useful tool for medical experts using characteristics and medical data used by the doctors. Constitute innovation for the medical community, and ensure the support of clinical decisions with an overall way by providing a comprehensive solution in the light of the integration of computational decision support systems into clinical practice. Conclusions: Decision Support Systems contribute to improving the quality of health services with simultaneous impoundment of costs (i.e. avoid medical errors

  9. A Framework for Decision Support Systems Based on Zachman Framework

    Science.gov (United States)

    Ostadzadeh, S. Shervin; Habibi, Jafar; Ostadzadeh, S. Arash

    Recent challenges have brought about an inevitable tendency for enterprises to lunge towards organizing their information activities in a comprehensive way. In this respect, Enterprise Architecture (EA) has proven to be the leading option for development and maintenance of information systems. EA clearly provides a thorough outline of the whole information system comprising an enterprise. To establish such an outline, a logical framework needs to be laid upon the entire information system. Zachman framework (ZF) has been widely accepted as a standard scheme for identifying and organizing descriptive representations that have critical roles in enterprise management and system development. In this paper, we propose a framework based on ZF for Decision Support Systems (DSS). Furthermore, a modeling approach based on Model-Driven Architecture (MDA) is utilized to obtain compatible models for all cells in the framework. The efficiency of the proposed framework is examined through a case study.

  10. Improving the implementation of clinical decision support systems.

    Science.gov (United States)

    Rüping, Stefan; Anguita, Alberto; Bucur, Anca; Cirstea, Traian Cristian; Jacobs, Björn; Torge, Antje

    2013-01-01

    Clinical decision support (CDS) systems promise to improve the quality of clinical care by helping physicians to make better, more informed decisions efficiently. However, the design and testing of CDS systems for practical medical use is cumbersome. It has been recognized that this may easily lead to a problematic mismatch between the developers' idea of the system and requirements from clinical practice. In this paper, we will present an approach to reduce the complexity of constructing a CDS system. The approach is based on an ontological annotation of data resources, which improves standardization and the semantic processing of data. This, in turn, allows to use data mining tools to automatically create hypotheses for CDS models, which reduces the manual workload in the creation of a new model. The approach is implemented in the context of EU research project p-medicine. A proof of concept implementation on data from an existing Leukemia study is presented.

  11. Managing smarter: a decision support system for mental health providers.

    Science.gov (United States)

    Mohan, L; Muse, L; McInerney, C

    1998-11-01

    Financing of mental health care has changed radically, especially with managed care. Shrinking revenues have forced providers to look for creative ways in which to provide quality services at less expense. Delivery of quality services depends largely on the productive use of the provider's prime resource--the clinicians. Productivity was the focus of the PC-based decision support system developed for mental health providers in New York State. It enables administrators to track key indicators of productivity such as face-to-face time and non-face-to-face time against goals. Unmet goals can be pinpointed quickly, and clinicians' caseloads can be reviewed to determine the underlying causes. A key feature of the system is the conversion of raw data into actionable information to help in problem finding and problem solving. The system has been implemented in Ulster County, the pilot site for the project. The software can be customized easily to suit the data of other providers.

  12. Research design of decision support system for team sport

    Science.gov (United States)

    Abidin, Mohammad Zukuwwan Zainol; Nawawi, Mohd Kamal Mohd; Kasim, Maznah Mat

    2016-10-01

    This paper proposes a suitable research procedure that can be referred to while conducting a Decision Support System (DSS) study, especially when the development activity of system artifacts becomes one of the research objectives. The design of the research procedure was based on the completion of a football DSS development that can help in determining the position of a player and the best team formation to be used during a game. After studying the relevant literature, we found that it is necessary to combine the conventional rainfall System Development Life Cycle (SDLC) approach with Case Study approach to help in structuring the research task and phases, which can contribute to the fulfillment of the research aim and objectives.

  13. A decision support system for the reading of ancient documents

    DEFF Research Database (Denmark)

    Roued-Cunliffe, Henriette

    2011-01-01

    The research presented in this thesis is based in the Humanities discipline of Ancient History and begins by attempting to understand the interpretation process involved in reading ancient documents and how this process can be aided by computer systems such as Decision Support Systems (DSS...... this process in the five areas: remembering complex reasoning, searching huge datasets, international collaboration, publishing editions, and image enhancement. This research contains a large practical element involving the development of a DSS prototype. The prototype is used to illustrate how a DSS......). The thesis balances between the use of IT tools to aid Humanities research and the understanding that Humanities research must involve human beings. It does not attempt to develop a system that can automate the reading of ancient documents. Instead it seeks to demonstrate and develop tools that can support...

  14. A decision support system for the reading of ancient documents

    DEFF Research Database (Denmark)

    Roued-Cunliffe, Henriette

    2011-01-01

    The research presented in this thesis is based in the Humanities discipline of Ancient History and begins by attempting to understand the interpretation process involved in reading ancient documents and how this process can be aided by computer systems such as Decision Support Systems (DSS......). The thesis balances between the use of IT tools to aid Humanities research and the understanding that Humanities research must involve human beings. It does not attempt to develop a system that can automate the reading of ancient documents. Instead it seeks to demonstrate and develop tools that can support...... this process in the five areas: remembering complex reasoning, searching huge datasets, international collaboration, publishing editions, and image enhancement. This research contains a large practical element involving the development of a DSS prototype. The prototype is used to illustrate how a DSS...

  15. Calculating Outcrossing Rates used in Decision Support Systems for Ships

    DEFF Research Database (Denmark)

    Nielsen, Ulrik Dam

    2008-01-01

    Onboard decision support systems (DSS) are used to increase the operational safety of ships. Ideally, DSS can estimate - in the statistical sense - future ship responses on a time scale of the order of 1-3 hours taking into account speed and course changes. The calculations depend on both...... operational and environmental parameters that are known only in the statistical sense. The present paper suggests a procedure to incorporate random variables and associated uncertainties in calculations of outcrossing rates, which are the basis for risk-based DSS. The procedure is based on parallel system...... analysis, and the paper derives and describes the main ideas. The concept is illustrated by an example, where the limit state of a non-linear ship response is considered. The results from the parallel system analysis are in agreement with corresponding Monte Carlo simulations. However, the computational...

  16. Decision support system for the diagnosis of schizophrenia disorders

    Directory of Open Access Journals (Sweden)

    D. Razzouk

    2006-01-01

    Full Text Available Clinical decision support systems are useful tools for assisting physicians to diagnose complex illnesses. Schizophrenia is a complex, heterogeneous and incapacitating mental disorder that should be detected as early as possible to avoid a most serious outcome. These artificial intelligence systems might be useful in the early detection of schizophrenia disorder. The objective of the present study was to describe the development of such a clinical decision support system for the diagnosis of schizophrenia spectrum disorders (SADDESQ. The development of this system is described in four stages: knowledge acquisition, knowledge organization, the development of a computer-assisted model, and the evaluation of the system's performance. The knowledge was extracted from an expert through open interviews. These interviews aimed to explore the expert's diagnostic decision-making process for the diagnosis of schizophrenia. A graph methodology was employed to identify the elements involved in the reasoning process. Knowledge was first organized and modeled by means of algorithms and then transferred to a computational model created by the covering approach. The performance assessment involved the comparison of the diagnoses of 38 clinical vignettes between an expert and the SADDESQ. The results showed a relatively low rate of misclassification (18-34% and a good performance by SADDESQ in the diagnosis of schizophrenia, with an accuracy of 66-82%. The accuracy was higher when schizophreniform disorder was considered as the presence of schizophrenia disorder. Although these results are preliminary, the SADDESQ has exhibited a satisfactory performance, which needs to be further evaluated within a clinical setting.

  17. Describing a Decision Support System for Nuisance Management of Urban Building Sites

    OpenAIRE

    Hankach, Pierre; CHACHOUA, Mohamed; MARTIN, Jean Marc; GOYAT, YANN

    2011-01-01

    In this paper, a decision support system for managing urban building sites nuisances is described. First, the decision process for nuisance management is studied in order to understand the use context of the decision support system. Two levels are identified where decision support is appropriate : at the territorial level for the administrator of the public space and at the building site level for the project owner. The decision support system at the former level is described. The interactio...

  18. Building a financial decision support system with Oracle

    CERN Document Server

    Angberg, M

    2001-01-01

    CERN (European Organization for Nuclear Research) is the world's leading particle physics research laboratory. It is a truly global organization, collaborating with more than 500 research institutes around the world. The laboratory is currently working on the construction of its largest and most complex scientific instrument ever, the Large Hadron Collider (LHC), due for completion in 2007. Under the current economic climate, however, the laboratory, along with many other businesses and organizations, is having to face shrinking resources and reduced staff levels. Since CERN is expected to continue to grow, it will be forced to achieve higher productivity with fewer resources. In the area of administrative information systems, the situation described above led us to the decision to use Oracle's Data Warehousing concepts and J2EE for the implementation of a scalable and flexible financial decision support system with a low maintenance cost. This paper outlines the experiences drawn from this implementation, fr...

  19. A hybrid decision support system for iron ore supply

    Directory of Open Access Journals (Sweden)

    A. Samolejová

    2012-01-01

    Full Text Available Many European metallurgical companies are forced to import iron ore from remote destinations. For these companies it is necessary to determine the amount of iron ore that will have to be ordered and to create such a delivery schedule so that the continuous operation of blast-furnace plant is not disrupted and there is no exceedingly large stock of this raw material. The objective of this article is to design the decision support system for iron ore supply which would effi ciently reduce uncertainty and risk of that decision-making. The article proposes a hybrid intelligent system which represents a combination of diff erent artifi cial intelligence methods with dynamic simulation technique for that purpose.

  20. Clinical decision support systems: data quality management and governance.

    Science.gov (United States)

    Liaw, Siaw-Teng

    2013-01-01

    This chapter examines data quality management (DQM) and information governance (IG) of electronic decision support (EDS) systems so that they are safe and fit for use by clinicians and patients and their carers. This is consistent with the ISO definition of data quality as being fit for purpose. The scope of DQM & IG should range from data creation and collection in clinical settings, through cleaning and, where obtained from multiple sources, linkage, storage, use by the EDS logic engine and algorithms, knowledge base and guidance provided, to curation and presentation. It must also include protocols and mechanisms to monitor the safety of EDS, which will feedback into DQM & IG activities. Ultimately, DQM & IG must be integrated across the data cycle to ensure that the EDS systems provide guidance that leads to safe and effective clinical decisions and care.

  1. Decision Support System for Blockage Management in Fire Service

    Directory of Open Access Journals (Sweden)

    Krasuski Adam

    2014-08-01

    Full Text Available In this article we present the foundations of a decision support system for blockage management in Fire Service. Blockage refers to the situation when all fire units are out and a new incident occurs. The approach is based on two phases: off-line data preparation and online blockage estimation. The off-line phase consists of methods from data mining and natural language processing and results in semantically coherent information granules. The online phase is about building the probabilistic models that estimate the block-age probability based on these granules. Finally, the selected classifier judges whether a blockage can occur and whether the resources from neighbour fire stations should be asked for assistance.

  2. Electronic market models for decision support systems on the Web

    Institute of Scientific and Technical Information of China (English)

    谢勇; 王红卫; 费奇

    2004-01-01

    With the prevalence of the Web, most decision-makers are likely to use the Web to support their decision-making. Web-based technologies are leading a major stream of researching decision support systems (DSS). We propose a formal definition and a conceptual framework for Web-based open DSS (WODSS). The formal definition gives an overall view of WODSS, and the conceptual framework based on browser/broker/server computing mode employs the electronic market to mediate decision-makers and providers, and facilitate sharing and reusing of decision resources. We also develop an admitting model, a trading model and a competing model of electronic market in WODSS based on market theory in economics. These models reveal the key mechanisms that drive WODSS operate efficiently.

  3. Intelligent decision support systems for sustainable computing paradigms and applications

    CERN Document Server

    Abraham, Ajith; Siarry, Patrick; Sheng, Michael

    2017-01-01

    This unique book dicusses the latest research, innovative ideas, challenges and computational intelligence (CI) solutions in sustainable computing. It presents novel, in-depth fundamental research on achieving a sustainable lifestyle for society, either from a methodological or from an application perspective. Sustainable computing has expanded to become a significant research area covering the fields of computer science and engineering, electrical engineering and other engineering disciplines, and there has been an increase in the amount of literature on aspects sustainable computing such as energy efficiency and natural resources conservation that emphasizes the role of ICT (information and communications technology) in achieving system design and operation objectives. The energy impact/design of more efficient IT infrastructures is a key challenge in realizing new computing paradigms. The book explores the uses of computational intelligence (CI) techniques for intelligent decision support that can be explo...

  4. Clinical decision support system for the diagnosis of adolescence health.

    Science.gov (United States)

    Moutsouri, Irene; Nikou, Amalia; Pampalou, Machi; Lentza, Maria; Spyridakis, Paulos; Mathiopoulou, Natassa; Konsoulas, Dimitris; Lampou, Marianna; Alexiou, Athanasios

    2015-01-01

    It is common that children confront psychological problems when they reach puberty. These problems could easily be overcome, but in many cases they could be severe, leading to social estrangement or worse in madness or death. According to information collected we designed a questionnaire about the psychology of adolescents in order to help people in that age or their elders find out if they have health issues. We used already published researches and material concerning all the psychological problems a child can confront in order to make a reliable questionnaire and to develop the clinical decision support system. Our main objective is to publish and administrate a web-based free tool for sharing medical knowledge about any psychological disease a child can already have or develop during puberty.

  5. FWFA Optimization based Decision Support System for Road Traffic Engineering

    Science.gov (United States)

    Utama, D. N.; Zaki, F. A.; Munjeri, I. J.; Putri, N. U.

    2017-01-01

    Several ways and efforts have been already conducted to formally solve the road traffic congestion. However, the objective strategy type of road traffic engineering could not be proven truly. Try and error is one inefficient way in road traffic engineering to degrade the level of congestion. The combination between fuzzy-logic and water flow algorithm methods (called FWFA) was used as a main method to construct the decision support system (DSS) for selecting the objective strategy in road traffic engineering. The proposed DSS can suggest the most optimal strategy decision in road traffic engineering. Here, a main traffic road of Juanda in area Ciputat, Tangerang Selatan, province Banten, Indonesia; was selected as a research object in this study. The constructed DSS for road traffic engineering was structurally delivered in this paper.

  6. Decision support systems and methods for complex networks

    Energy Technology Data Exchange (ETDEWEB)

    Huang, Zhenyu [Richland, WA; Wong, Pak Chung [Richland, WA; Ma, Jian [Richland, WA; Mackey, Patrick S [Richland, WA; Chen, Yousu [Richland, WA; Schneider, Kevin P [Seattle, WA

    2012-02-28

    Methods and systems for automated decision support in analyzing operation data from a complex network. Embodiments of the present invention utilize these algorithms and techniques not only to characterize the past and present condition of a complex network, but also to predict future conditions to help operators anticipate deteriorating and/or problem situations. In particular, embodiments of the present invention characterize network conditions from operation data using a state estimator. Contingency scenarios can then be generated based on those network conditions. For at least a portion of all of the contingency scenarios, risk indices are determined that describe the potential impact of each of those scenarios. Contingency scenarios with risk indices are presented visually as graphical representations in the context of a visual representation of the complex network. Analysis of the historical risk indices based on the graphical representations can then provide trends that allow for prediction of future network conditions.

  7. Method for designing organization decision support system framework

    Institute of Scientific and Technical Information of China (English)

    Fan Jiancong; Liang Yongquan; Zeng Qingtian

    2006-01-01

    The concept of organization decision support system (ODSS) is defined according to practical applications and novel understanding. And a framework for ODSS is designed. The framework has three components: infrastructure, decision-making process and decision execution process. Infrastructure is responsible to transfer data and information. Decision-making process is the ODSS's soul to support decision-making. Decision execution process is to evaluate and execute decision results derived from decision-making process. The framework presents a kind of logic architecture. An example is given to verify and analyze the framework. The analysis shows that the framework has practical values, and has also reference values for understanding ODSS and for theoretical studies.

  8. Decision Support Systems: Usage And Applications In Logistics Services

    Directory of Open Access Journals (Sweden)

    Eyüp AKÇETİN

    2014-06-01

    Full Text Available Competitive advantage in logistics operations is possible by analyzing data to create information and turning that information into decision. Supply chain optimization depends on effective management of chain knowledge. Analyzing data from supply chain and making a decision creates complex operations. Therefore, these operations require benefitting from information technology. In today’s global world, businesses use outsourcing for logistics services to focus on their own field, so are seeking to achieve competitive advantage against competitors. Outsourcing requires sharing of various information and data with companies that provide logistical support. Effective strategies are based on well-analyzed the data and information. Best options for right decisions can be created only from good analysis. That’s why companies that supply logistics services achieve competitive advantage using decision support systems (DSS in industrial competition. In short, DSS has become driving force for every business in today’s knowledge-based economy.

  9. A BENCHMARK TO SELECT DATA MINING BASED CLASSIFICATION ALGORITHMS FOR BUSINESS INTELLIGENCE AND DECISION SUPPORT SYSTEMS

    Directory of Open Access Journals (Sweden)

    Pardeep Kumar

    2012-09-01

    Full Text Available In today’s business scenario, we percept major changes in how managers use computerized support inmaking decisions. As more number of decision-makers use computerized support in decision making,decision support systems (DSS is developing from its starting as a personal support tool and is becomingthe common resource in an organization. DSS serve the management, operations, and planning levels of anorganization and help to make decisions, which may be rapidly changing and not easily specified inadvance. Data mining has a vital role to extract important information to help in decision making of adecision support system. It has been the active field of research in the last two-three decades. Integration ofdata mining and decision support systems (DSS can lead to the improved performance and can enable thetackling of new types of problems. Artificial Intelligence methods are improving the quality of decisionsupport, and have become embedded in many applications ranges from ant locking automobile brakes tothese days interactive search engines. It provides various machine learning techniques to support datamining. The classification is one of the main and valuable tasks of data mining. Several types ofclassification algorithms have been suggested, tested and compared to determine the future trends based onunseen data. There has been no single algorithm found to be superior over all others for all data sets.Various issues such as predictive accuracy, training time to build the model, robustness and scalabilitymust be considered and can have tradeoffs, further complex the quest for an overall superior method. Theobjective of this paper is to compare various classification algorithms that have been frequently used indata mining for decision support systems. Three decision trees based algorithms, one artificial neuralnetwork, one statistical, one support vector machines with and without adaboost and one clusteringalgorithm are tested and compared on

  10. The Aegean Sea marine security decision support system

    Directory of Open Access Journals (Sweden)

    L. Perivoliotis

    2011-05-01

    Full Text Available As part of the integrated ECOOP (European Coastal Sea Operational observing and Forecasting System project, HCMR upgraded the already existing standalone Oil Spill Forecasting System for the Aegean Sea, initially developed for the Greek Operational Oceanography System (POSEIDON, into an active element of the European Decision Support System (EuroDeSS. The system is accessible through a user friendly web interface where the case scenarios can be fed into the oil spill drift model component, while the synthetic output contains detailed information about the distribution of oil spill particles and the oil spill budget and it is provided both in text based ECOOP common output format and as a series of sequential graphics. The main development steps that were necessary for this transition were the modification of the forcing input data module in order to allow the import of other system products which are usually provided in standard formats such as NetCDF and the transformation of the model's calculation routines to allow use of current, density and diffusivities data in z instead of sigma coordinates. During the implementation of the Aegean DeSS, the system was used in operational mode in order support the Greek marine authorities in handling a real accident that took place in North Aegean area. Furthermore, the introduction of common input and output files by all the partners of EuroDeSS extended the system's interoperability thus facilitating data exchanges and comparison experiments.

  11. The Aegean sea marine security decision support system

    Directory of Open Access Journals (Sweden)

    L. Perivoliotis

    2011-10-01

    Full Text Available As part of the integrated ECOOP (European Coastal Sea Operational observing and Forecasting System project, HCMR upgraded the already existing standalone Oil Spill Forecasting System for the Aegean Sea, initially developed for the Greek Operational Oceanography System (POSEIDON, into an active element of the European Decision Support System (EuroDeSS. The system is accessible through a user friendly web interface where the case scenarios can be fed into the oil spill drift model component, while the synthetic output contains detailed information about the distribution of oil spill particles and the oil spill budget and it is provided both in text based ECOOP common output format and as a series of sequential graphics. The main development steps that were necessary for this transition were the modification of the forcing input data module in order to allow the import of other system products which are usually provided in standard formats such as NetCDF and the transformation of the model's calculation routines to allow use of current, density and diffusivities data in z instead of sigma coordinates. During the implementation of the Aegean DeSS, the system was used in operational mode in order to support the Greek marine authorities in handling a real accident that took place in North Aegean area. Furthermore, the introduction of common input and output files by all the partners of EuroDeSS extended the system's interoperability thus facilitating data exchanges and comparison experiments.

  12. Knowledge model-based decision support system for maize management

    Institute of Scientific and Technical Information of China (English)

    GUO Yinqiao; ZHAO Chuande; WANG Wenxin; LI Cundong

    2007-01-01

    Based on the relationship between crops and circumstances,a dynamic knowledge model for maize management with wide applicability was developed using the system method and mathematical modeling technique.With soft component characteristics incorporated,a component and digital knowledge model-based decision support system for maize management was established on the Visual C++platform.This system realized six major functions:target yield calculation,design of pre-sowing plan,prediction of regular indices,real-time management control,expert knowledge reference and system administration.Cases were studied on the target yield knowledge model with data sets that include different eco-sites,yield levels of the last three years,and fertilizer and water management levels.The results indicated that this system overcomes the shortcomings of traditional expert systems and planting patterns,such as sitespecific conditions and narrow applicability,and can be used more under different conditions and environments.This system provides a scientific knowledge system and a broad decision-making tool for maize management.

  13. Online decision support system for surface irrigation management

    Science.gov (United States)

    Wang, Wenchao; Cui, Yuanlai

    2017-04-01

    Irrigation has played an important role in agricultural production. Irrigation decision support system is developed for irrigation water management, which can raise irrigation efficiency with few added engineering services. An online irrigation decision support system (OIDSS), in consist of in-field sensors and central computer system, is designed for surface irrigation management in large irrigation district. Many functions have acquired in OIDSS, such as data acquisition and detection, real-time irrigation forecast, water allocation decision and irrigation information management. The OIDSS contains four parts: Data acquisition terminals, Web server, Client browser and Communication system. Data acquisition terminals are designed to measure paddy water level, soil water content in dry land, ponds water level, underground water level, and canals water level. A web server is responsible for collecting meteorological data, weather forecast data, the real-time field data, and manager's feedback data. Water allocation decisions are made in the web server. Client browser is responsible for friendly displaying, interacting with managers, and collecting managers' irrigation intention. Communication system includes internet and the GPRS network used by monitoring stations. The OIDSS's model is based on water balance approach for both lowland paddy and upland crops. Considering basic database of different crops water demands in the whole growth stages and irrigation system engineering information, the OIDSS can make efficient decision of water allocation with the help of real-time field water detection and weather forecast. This system uses technical methods to reduce requirements of user's specialized knowledge and can also take user's managerial experience into account. As the system is developed by the Browser/Server model, it is possible to make full use of the internet resources, to facilitate users at any place where internet exists. The OIDSS has been applied in

  14. Clinical decision support for perioperative information management systems.

    Science.gov (United States)

    Wanderer, Jonathan P; Ehrenfeld, Jesse M

    2013-12-01

    Clinical decision support (CDS) systems are being used to optimize the increasingly complex care that our health care system delivers. These systems have become increasingly important in the delivery of perioperative care for patients undergoing cardiac, thoracic, and vascular procedures. The adoption of perioperative information management systems (PIMS) has allowed these technologies to enter the operating room and support the clinical work flow of anesthesiologists and operational processes. Constructing effective CDS systems necessitates an understanding of operative work flow and technical considerations as well as achieving integration with existing information systems. In this review, we describe published examples of CDS for PIMS, including support for cardiopulmonary bypass separation physiological alarms, β-blocker guideline adherence, enhanced revenue capture for arterial line placement, and detection of hemodynamic monitoring gaps. Although these and other areas are amenable to CDS systems, the challenges of latency and data reliability represent fundamental limitations on the potential application of these tools to specific types of clinical issues. Ultimately, we expect that CDS will remain an important tool in our efforts to optimize the quality of care delivered.

  15. Towards a Decision Support System for Space Flight Operations

    Science.gov (United States)

    Meshkat, Leila; Hogle, Charles; Ruszkowski, James

    2013-01-01

    The Mission Operations Directorate (MOD) at the Johnson Space Center (JSC) has put in place a Model Based Systems Engineering (MBSE) technological framework for the development and execution of the Flight Production Process (FPP). This framework has provided much added value and return on investment to date. This paper describes a vision for a model based Decision Support System (DSS) for the development and execution of the FPP and its design and development process. The envisioned system extends the existing MBSE methodology and technological framework which is currently in use. The MBSE technological framework currently in place enables the systematic collection and integration of data required for building an FPP model for a diverse set of missions. This framework includes the technology, people and processes required for rapid development of architectural artifacts. It is used to build a feasible FPP model for the first flight of spacecraft and for recurrent flights throughout the life of the program. This model greatly enhances our ability to effectively engage with a new customer. It provides a preliminary work breakdown structure, data flow information and a master schedule based on its existing knowledge base. These artifacts are then refined and iterated upon with the customer for the development of a robust end-to-end, high-level integrated master schedule and its associated dependencies. The vision is to enhance this framework to enable its application for uncertainty management, decision support and optimization of the design and execution of the FPP by the program. Furthermore, this enhanced framework will enable the agile response and redesign of the FPP based on observed system behavior. The discrepancy of the anticipated system behavior and the observed behavior may be due to the processing of tasks internally, or due to external factors such as changes in program requirements or conditions associated with other organizations that are outside of

  16. WEB-GIS Decision Support System for CO2 storage

    Science.gov (United States)

    Gaitanaru, Dragos; Leonard, Anghel; Radu Gogu, Constantin; Le Guen, Yvi; Scradeanu, Daniel; Pagnejer, Mihaela

    2013-04-01

    Environmental decision support systems (DSS) paradigm evolves and changes as more knowledge and technology become available to the environmental community. Geographic Information Systems (GIS) can be used to extract, assess and disseminate some types of information, which are otherwise difficult to access by traditional methods. In the same time, with the help of the Internet and accompanying tools, creating and publishing online interactive maps has become easier and rich with options. The Decision Support System (MDSS) developed for the MUSTANG (A MUltiple Space and Time scale Approach for the quaNtification of deep saline formations for CO2 storaGe) project is a user friendly web based application that uses the GIS capabilities. MDSS can be exploited by the experts for CO2 injection and storage in deep saline aquifers. The main objective of the MDSS is to help the experts to take decisions based large structured types of data and information. In order to achieve this objective the MDSS has a geospatial objected-orientated database structure for a wide variety of data and information. The entire application is based on several principles leading to a series of capabilities and specific characteristics: (i) Open-Source - the entire platform (MDSS) is based on open-source technologies - (1) database engine, (2) application server, (3) geospatial server, (4) user interfaces, (5) add-ons, etc. (ii) Multiple database connections - MDSS is capable to connect to different databases that are located on different server machines. (iii)Desktop user experience - MDSS architecture and design follows the structure of a desktop software. (iv)Communication - the server side and the desktop are bound together by series functions that allows the user to upload, use, modify and download data within the application. The architecture of the system involves one database and a modular application composed by: (1) a visualization module, (2) an analysis module, (3) a guidelines module

  17. Decision Support System for Reservoir Management and Operation in Africa

    Science.gov (United States)

    Navar, D. A.

    2016-12-01

    Africa is currently experiencing a surge in dam construction for flood control, water supply and hydropower production, but ineffective reservoir management has caused problems in the region, such as water shortages, flooding and loss of potential hydropower generation. Our research aims to remedy ineffective reservoir management by developing a novel Decision Support System(DSS) to equip water managers with a technical planning tool based on the state of the art in hydrological sciences. The DSS incorporates a climate forecast model, a hydraulic model of the watershed, and an optimization model to effectively plan for the operation of a system of cascade large-scale reservoirs for hydropower production, while treating water supply and flood control as constraints. Our team will use the newly constructed hydropower plants in the Omo Gibe basin of Ethiopia as the test case. Using the basic HIDROTERM software developed in Brazil, the General Algebraic Modeling System (GAMS) utilizes a combination of linear programing (LP) and non-linear programming (NLP) in conjunction with real time hydrologic and energy demand data to optimize the monthly and daily operations of the reservoir system. We compare the DSS model results with the current reservoir operating policy used by the water managers of that region. We also hope the DSS will eliminate the current dangers associated with the mismanagement of large scale water resources projects in Africa.

  18. Management of quality-assurance controls: decision support systems

    Energy Technology Data Exchange (ETDEWEB)

    Farrell, M.P.; Strand, R.H.

    1981-01-01

    Environmental research involved in the assessment of new coal conversion technologies must evaluate many biological, physical and chemical variables to determine environmental acceptability. Inherent in these studies is the use of quality assurance controls to evaluate data base entries, analytical procedures, and program productivity. However, quality assurance controls implemented at the project level are seldom known in detail and/or evaluated when making resource management decisions at the program level. This paper presents a computer based decision support system that assists in management level integration of complex environmental research. The DSS is modeled after an open-ended construct applied to data management systems developed for environmental research programs, i.e., minimal planning effort and a flexible system that can accommodate changing research emphasis. We have found that by interfacing the DSS with the research data base management system, more appropriate statistical measures can be formulated to provide management support for evaluating program progress, status reports of current findings, and comparisons of findings with standards.

  19. CLIPS based decision support system for Water Distribution Networks

    Directory of Open Access Journals (Sweden)

    S. Kulshrestha

    2011-03-01

    Full Text Available The Water Distribution Networks (WDN are managed by experts, who, over the years of their association and responsibility, acquire an empirical knowledge of the system and, characteristically, this knowledge remains largely confined to their respective personal domains. In the event of any new information and/or emergence of a new problem, these experts apply simple heuristics to design corrective measures and cognitively seek to predict network performance. The human interference leads to inefficient utilization of resources and unfair distribution. Researchers over the past, have tried to address to the problem and they have applied Artificial Intelligence (AI tool to automate the decision process and encode the heuristic rules. The application of AI tool in the field of WDN management is meager. This paper describes a component of an ongoing research initiative to investigate the potential application of artificial intelligence package CLIPS (short for C Language Integrated Production System, developed at NASA/Johnson Space Center in the development of an expert decision support system for management of a water distribution network. The system aims to meet several concerns of modern water utility managers as it attempts to formalize operational and management experiences, and provides a frame work for assisting water utility managers even in the absence of expert personnel.

  20. Decision support system for the operating room rescheduling problem.

    Science.gov (United States)

    van Essen, J Theresia; Hurink, Johann L; Hartholt, Woutske; van den Akker, Bernd J

    2012-12-01

    Due to surgery duration variability and arrivals of emergency surgeries, the planned Operating Room (OR) schedule is disrupted throughout the day which may lead to a change in the start time of the elective surgeries. These changes may result in undesirable situations for patients, wards or other involved departments, and therefore, the OR schedule has to be adjusted. In this paper, we develop a decision support system (DSS) which assists the OR manager in this decision by providing the three best adjusted OR schedules. The system considers the preferences of all involved stakeholders and only evaluates the OR schedules that satisfy the imposed resource constraints. The decision rules used for this system are based on a thorough analysis of the OR rescheduling problem. We model this problem as an Integer Linear Program (ILP) which objective is to minimize the deviation from the preferences of the considered stakeholders. By applying this ILP to instances from practice, we determined that the given preferences mainly lead to (i) shifting a surgery and (ii) scheduling a break between two surgeries. By using these changes in the DSS, the performed simulation study shows that less surgeries are canceled and patients and wards are more satisfied, but also that the perceived workload of several departments increases to compensate this. The system can also be used to judge the acceptability of a proposed initial OR schedule.

  1. A Fuzzy Decision Support System for Management of Breast Cancer

    Directory of Open Access Journals (Sweden)

    Ahmed Abou Elfetouh Saleh

    2011-03-01

    Full Text Available In the molecular era the management of cancer is no more a plan based on simple guidelines. Clinical findings, tumor characteristics, and molecular markers are integrated to identify different risk categories, based on which treatment is planned for each individual case. This paper aims at developing a fuzzy decision support system (DSS to guide the doctors for the risk stratification of breast cancer, which is expected to have a great impact on treatment decision and to minimize individual variations in selecting the optimal treatment for a particular case. The developed system was based on clinical practice of Oncology Center Mansoura University (OCMU. This system has six input variables (Her2, hormone receptors, age, tumor grade, tumor size, and lymph node and one output variable (risk status. The output variable is a value from 1 to 4; representing low risk status, intermediate risk status and high risk status. This system uses Mamdani inference method and simulation applied in MATLAB R2009b fuzzy logic toolbox.

  2. Intelligent decision support system for home energy retrofit adoption

    Directory of Open Access Journals (Sweden)

    D. Duah

    2016-12-01

    Full Text Available Despite the well-established benefits of home energy retrofits (HER, its adoption has faced huge challenges. Though homeowners typically depend on energy practitioners for HER advice, previous work by the researchers has identified the inadequateness of such information as a barrier. Using an earlier developed information model, an energy retrofit intelligent decision support system (ERIDSS, that integrates expert knowledge with quantitative information to provide homeowners with accurate information for decision-making, was developed. This paper identifies the key components of the proposed ERIDSS, develops rules for relevant energy retrofit expert knowledge to be employed in the knowledge-based system of the proposed ERIDSS, develops the ERIDSS for decision-making for home energy retrofits, and demonstrates the application of the ERIDSS using a pilot system on two test homes. The quantitative information was obtained from published sources and the U.S. Department of Energy’s cost database, and the expert knowledge was obtained through the application of the modified Delphi technique and job shadowing of energy auditors and retrofit contractors. The research contributes to improving the adoption of energy retrofits by homeowners, assisting industry practitioners with the corroboration of knowledge/information they provide to homeowners in order to reduce homeowner bias, providing a good understanding of available implicit domain knowledge through the development of six knowledge-based modules, and the development of a system and approach that may be replicated in other domains.

  3. Development, deployment and usability of a point-of-care decision support system for chronic disease management using the recently-approved HL7 decision support service standard.

    Science.gov (United States)

    Lobach, David F; Kawamoto, Kensaku; Anstrom, Kevin J; Russell, Michael L; Woods, Peter; Smith, Dwight

    2007-01-01

    Clinical decision support is recognized as one potential remedy for the growing crisis in healthcare quality in the United States and other industrialized nations. While decision support systems have been shown to improve care quality and reduce errors, these systems are not widely available. This lack of availability arises in part because most decision support systems are not portable or scalable. The Health Level 7 international standard development organization recently adopted a draft standard known as the Decision Support Service standard to facilitate the implementation of clinical decision support systems using software services. In this paper, we report the first implementation of a clinical decision support system using this new standard. This system provides point-of-care chronic disease management for diabetes and other conditions and is deployed throughout a large regional health system. We also report process measures and usability data concerning the system. Use of the Decision Support Service standard provides a portable and scalable approach to clinical decision support that could facilitate the more extensive use of decision support systems.

  4. Exploration Clinical Decision Support System: Medical Data Architecture

    Science.gov (United States)

    Lindsey, Tony; Shetye, Sandeep; Shaw, Tianna (Editor)

    2016-01-01

    The Exploration Clinical Decision Support (ECDS) System project is intended to enhance the Exploration Medical Capability (ExMC) Element for extended duration, deep-space mission planning in HRP. A major development guideline is the Risk of "Adverse Health Outcomes & Decrements in Performance due to Limitations of In-flight Medical Conditions". ECDS attempts to mitigate that Risk by providing crew-specific health information, actionable insight, crew guidance and advice based on computational algorithmic analysis. The availability of inflight health diagnostic computational methods has been identified as an essential capability for human exploration missions. Inflight electronic health data sources are often heterogeneous, and thus may be isolated or not examined as an aggregate whole. The ECDS System objective provides both a data architecture that collects and manages disparate health data, and an active knowledge system that analyzes health evidence to deliver case-specific advice. A single, cohesive space-ready decision support capability that considers all exploration clinical measurements is not commercially available at present. Hence, this Task is a newly coordinated development effort by which ECDS and its supporting data infrastructure will demonstrate the feasibility of intelligent data mining and predictive modeling as a biomedical diagnostic support mechanism on manned exploration missions. The initial step towards ground and flight demonstrations has been the research and development of both image and clinical text-based computer-aided patient diagnosis. Human anatomical images displaying abnormal/pathological features have been annotated using controlled terminology templates, marked-up, and then stored in compliance with the AIM standard. These images have been filtered and disease characterized based on machine learning of semantic and quantitative feature vectors. The next phase will evaluate disease treatment response via quantitative linear

  5. Decision support system for containment and release management

    Energy Technology Data Exchange (ETDEWEB)

    Oosterhuis, B. [Twente Univ., Enschede (Netherlands). Computer Science Dept.

    1995-09-01

    The Containment and Release Management project was carried out within the Reinforced Concerted Action Programme for Accident Management Support and partly financed by the European Union. In this report a prototype of an accident management support system is presented. The support system integrates several concepts from accident management research, like safety objective trees, severe accident phenomena, calculation models and an emergency response data system. These concepts are provided by the prototype in such a way that the decision making process of accident management is supported. The prototype application is demonstrated by process data taken from a severe accident scenario for a pressurized water reactor (PWR) that was simulated with the thermohydraulic computer program MAAP. The prototype was derived from a decision support framework based on a decision theory. For established and innovative concepts from accident management research it is pointed out in which way these concepts can support accident management and how these concepts can be integrated. This approach is generic in two ways; it applies to both pressurized and boiling water reactors and it applies to both in vessel management and containment and release management. The prototype application was developed in Multimedia Toolbox 3.0 and requires at least a 386 PC with 4 MB memory, 6 MB free disk space and MS Windows 3.1. (orig.).

  6. Decision support system for diagnosis and treatment of hearing disorders the case of tinnitus

    CERN Document Server

    Tarnowska, Katarzyna A; Jastreboff, Pawel J

    2017-01-01

    The book presents a knowledge discovery based approach to build a recommender system supporting a physician in treating tinnitus patients with the highly successful method called Tinnitus Retraining Therapy. It describes experiments on extracting novel knowledge from the historical dataset of patients treated by Dr. P. Jastreboff so that to better understand factors behind therapy's effectiveness and better personalize treatments for different profiles of patients. The book is a response for a growing demand of an advanced data analytics in the healthcare industry in order to provide better care with the data driven decision-making solutions. The potential economic benefits of applying computerized clinical decision support systems include not only improved efficiency in health care delivery (by reducing costs, improving quality of care and patient safety), but also enhancement in treatment's standardization, objectivity and availability in places of scarce expert's knowledge on this difficult to treat hearin...

  7. Decision Support Systems (DSS Optimal—A Case Study from the Czech Republic

    Directory of Open Access Journals (Sweden)

    Robert Marušák

    2015-01-01

    Full Text Available Forest managers have traditionally planned harvests using their expert knowledge. This applies mainly to the spatial distribution of harvest units. The amount of timber to be harvested is regulated by market demand. In addition to forest managers’ expert knowledge, there is a set of rules, which can be automatized. Computerized harvest planning will lead not only to saving time of forest managers, but it will also enable them to explore various scenarios in a matter of minutes. We introduce Optimal—GIS tool for spatial and temporal decisions of harvest scheduling. Optimal allows creating new harvest units, which reflects the forestry act and/or forest managers’ requirements. Optimal includes necessary tools for automatic controlling of harvest unit parameters. It allows alternative harvest scheduling, while taking into account different constraints. Optimal is a decision Support System designed and applied for clear-cut and shelterwood silvicultural systems with respect to the environmental and economic constraints.

  8. Implementing a decision support system (DSS in e-business

    Directory of Open Access Journals (Sweden)

    Alexandra Ruiz G.

    2010-05-01

    Full Text Available Decision support systems (DSS and e-business (EB have emerged as separate areas. However, currently, and for some years now, DSS and EB have become merged to provide customers with greater benefits and added value. There are different types of DSS and different categories and business models for EB; one area’s applicability to the other thus expands the possible combi- nations which can arise from such different categories. Some representative examples would include auction sites which, through applying intelligent agents, can learn about which products to offer or when and where to sell them; DSS allow a company’s in- formation avilable in web portals for customers and employees to be accessed in a controlled way and decisions thus made; vir- tual stores may be positively affected by data mining and data warehousing being applied; complex algorithms could be used in customer relationship management for predicting and analysing “what would happen if” to identify revenue opportunities in com- petitive markets; and a wide range of other applications where imagination is the limit. Research into DSS / BE must be ongoing due to the constant emergence of new business models and DSS subsystems. Applications can be varied and provide bi-directio- nal support for each one. New interaction mechanisms and efforts to satisfy customers are also the focus of inspiration for new applications for DSS systems in EB.

  9. Decision Support System for Diabetes Mellitus through Machine Learning Techniques

    Directory of Open Access Journals (Sweden)

    Tarik A. Rashid

    2016-07-01

    Full Text Available recently, the diseases of diabetes mellitus have grown into extremely feared problems that can have damaging effects on the health condition of their sufferers globally. In this regard, several machine learning models have been used to predict and classify diabetes types. Nevertheless, most of these models attempted to solve two problems; categorizing patients in terms of diabetic types and forecasting blood surge rate of patients. This paper presents an automatic decision support system for diabetes mellitus through machine learning techniques by taking into account the above problems, plus, reflecting the skills of medical specialists who believe that there is a great relationship between patient’s symptoms with some chronic diseases and the blood sugar rate. Data sets are collected from Layla Qasim Clinical Center in Kurdistan Region, then, the data is cleaned and proposed using feature selection techniques such as Sequential Forward Selection and the Correlation Coefficient, finally, the refined data is fed into machine learning models for prediction, classification, and description purposes. This system enables physicians and doctors to provide diabetes mellitus (DM patients good health treatments and recommendations.

  10. A decision support system for managing forest fire casualties.

    Science.gov (United States)

    Bonazountas, Marc; Kallidromitou, Despina; Kassomenos, Pavlos; Passas, Nikos

    2007-09-01

    Southern Europe is exposed to anthropogenic and natural forest fires. These result in loss of lives, goods and infrastructure, but also deteriorate the natural environment and degrade ecosystems. The early detection and combating of such catastrophes requires the use of a decision support system (DSS) for emergency management. The current literature reports on a series of efforts aimed to deliver DSSs for the management of the forest fires by utilising technologies like remote sensing and geographical information systems (GIS), yet no integrated system exists. This manuscript presents the results of scientific research aiming to the development of a DSS for managing forest fires. The system provides a series of software tools for the assessment of the propagation and combating of forest fires based on Arc/Info, ArcView, Arc Spatial Analyst, Arc Avenue, and Visual C++ technologies. The system integrates GIS technologies under the same data environment and utilises a common user interface to produce an integrated computer system based on semi-automatic satellite image processing (fuel maps), socio-economic risk modelling and probabilistic models that would serve as a useful tool for forest fire prevention, planning and management. Its performance has been demonstrated via real time up-to-date accurate information on the position and evolution of the fire. The system can assist emergency assessment, management and combating of the incident. A site demonstration and validation has been accomplished for the island of Evoia, Greece, an area particularly vulnerable to forest fires due to its ecological characteristics and prevailing wind patterns.

  11. Why decision support systems are important for medical education.

    Science.gov (United States)

    Konstantinidis, Stathis Th; Bamidis, Panagiotis D

    2016-03-01

    During the last decades, the inclusion of digital tools in health education has rapidly lead to a continuously enlarging digital era. All the online interactions between learners and tutors, the description, creation, reuse and sharing of educational digital resources and the interlinkage between them in conjunction with cheap storage technology has led to an enormous amount of educational data. Medical education is a unique type of education due to accuracy of information needed, continuous changing competences required and alternative methods of education used. Nowadays medical education standards provide the ground for organising the educational data and the paradata. Analysis of such education data through education data mining techniques is in its infancy, but decision support systems (DSSs) for medical education need further research. To the best of our knowledge, there is a gap and a clear need for identifying the challenges for DSSs in medical education in the era of medical education standards. Thus, in this Letter the role and the attributes of such a DSS for medical education are delineated and the challenges and vision for future actions are identified.

  12. A Decision Support System for effective use of probability forecasts

    Science.gov (United States)

    De Kleermaeker, Simone; Verkade, Jan

    2013-04-01

    Often, water management decisions are based on hydrological forecasts. These forecasts, however, are affected by inherent uncertainties. It is increasingly common for forecasting agencies to make explicit estimates of these uncertainties and thus produce probabilistic forecasts. Associated benefits include the decision makers' increased awareness of forecasting uncertainties and the potential for risk-based decision-making. Also, a stricter separation of responsibilities between forecasters and decision maker can be made. However, simply having probabilistic forecasts available is not sufficient to realise the associated benefits. Additional effort is required in areas such as forecast visualisation and communication, decision making in uncertainty and forecast verification. Also, revised separation of responsibilities requires a shift in institutional arrangements and responsibilities. A recent study identified a number of additional issues related to the effective use of probability forecasts. When moving from deterministic to probability forecasting, a dimension is added to an already multi-dimensional problem; this makes it increasingly difficult for forecast users to extract relevant information from a forecast. A second issue is that while probability forecasts provide a necessary ingredient for risk-based decision making, other ingredients may not be present. For example, in many cases no estimates of flood damage, of costs of management measures and of damage reduction are available. This paper presents the results of the study, including some suggestions for resolving these issues and the integration of those solutions in a prototype decision support system (DSS). A pathway for further development of the DSS is outlined.

  13. An Investment Decision Support System for Process Industries

    Institute of Scientific and Technical Information of China (English)

    周章玉; 成思危; 华贲; 曾敏刚; 尹清华

    2001-01-01

    Most studies on investment evaluation mainly focus on enterprise economic benefits only, without process operability and sustainability considered. In this paper, we suggest that investment evaluation in process industries should be executed under three strategic objectives--enterprise benefits, social benefits and customer benefits. A systematic investment evaluation and decision-making method with a four-step procedure based on the analytic hierarchy process (AHP) is proposed to evaluate various qualitative and quantitative elements with various criteria. At the first step, the decision hierarchy is constructed under the three strategic objectives. Second, pair-wise comparison is utilized to evaluate the weights of elements and criteria. Third, qualitative elements are quantified by pair-wise comparison and quantitative elements are re-scaled by a uniform criterion. At the last, the best choice is made through synthesizing values upward in the hierarchy. An investment decision support system (DSS) is developed based on Microsoft Excel, and applied to a retrofit investment of united fluid catalytic cracking(FCC) and liquefied gas separation process in a refinery plant.

  14. CLIPS based decision support system for water distribution networks

    Directory of Open Access Journals (Sweden)

    K. Sandeep

    2011-10-01

    Full Text Available The difficulty in knowledge representation of a water distribution network (WDN problem has contributed to the limited use of artificial intelligence (AI based expert systems (ES in the management of these networks. This paper presents a design of a Decision Support System (DSS that facilitates "on-demand'' knowledge generation by utilizing results of simulation runs of a suitably calibrated and validated hydraulic model of an existing aged WDN corresponding to emergent or even hypothetical but likely scenarios. The DSS augments the capability of a conventional expert system by integrating together the hydraulic modelling features with heuristics based knowledge of experts under a common, rules based, expert shell named CLIPS (C Language Integrated Production System. In contrast to previous ES, the knowledge base of the DSS has been designed to be dynamic by superimposing CLIPS on Structured Query Language (SQL. The proposed ES has an inbuilt calibration module that enables calibration of an existing (aged WDN for the unknown, and unobservable, Hazen-Williams C-values. In addition, the daily run and simulation modules of the proposed ES further enable the CLIPS inference engine to evaluate the network performance for any emergent or suggested test scenarios. An additional feature of the proposed design is that the DSS integrates computational platforms such as MATLAB, open source Geographical Information System (GIS, and a relational database management system (RDBMS working under the umbrella of the Microsoft Visual Studio based common user interface. The paper also discusses implementation of the proposed framework on a case study and clearly demonstrates the utility of the application as an able aide for effective management of the study network.

  15. CADMIUM II: acquisition and representation of radiological knowledge for computerized decision support in mammography.

    Science.gov (United States)

    Alberdi, E.; Taylor, P.; Lee, R.; Fox, J.; Sordo, M.; Todd-Pokropek, A.

    2000-01-01

    CADMIUM II is a system for the interpretation of mammograms. A novel aspect of the system is that it combines symbolic reasoning with image processing, in contrast with most other approaches, which use only image processing and rely on artificial neural networks (ANNs) to classify mammograms. A problem of ANNs is that the advice they give cannot be traced back to communicable diagnostic inferences. Our approach is to provide advice based on explicit knowledge about the diagnostic process. To this end, we have conducted a knowledge elicitation study which looked at the descriptors used by expert radiologists when making diagnostic decisions about mammograms. The analysis of the radiologists' reports yielded a set of salient diagnostic features. These were used to inform the advice provided by the symbolic decision making component of CADMIUM II. PMID:11079834

  16. Development of a Decision Support System for Analysis and Solutions of Prolonged Standing in the Workplace

    Science.gov (United States)

    Halim, Isa; Arep, Hambali; Kamat, Seri Rahayu; Abdullah, Rohana; Omar, Abdul Rahman; Ismail, Ahmad Rasdan

    2014-01-01

    Background Prolonged standing has been hypothesized as a vital contributor to discomfort and muscle fatigue in the workplace. The objective of this study was to develop a decision support system that could provide systematic analysis and solutions to minimize the discomfort and muscle fatigue associated with prolonged standing. Methods The integration of object-oriented programming and a Model Oriented Simultaneous Engineering System were used to design the architecture of the decision support system. Results Validation of the decision support system was carried out in two manufacturing companies. The validation process showed that the decision support system produced reliable results. Conclusion The decision support system is a reliable advisory tool for providing analysis and solutions to problems related to the discomfort and muscle fatigue associated with prolonged standing. Further testing of the decision support system is suggested before it is used commercially. PMID:25180141

  17. Decision Support Systems Effect on Reengineering Field Research on Jordanian Tourism Companies

    OpenAIRE

    2014-01-01

    This research aimed to recognize the cause and effect of decision support system on reengineering the Jordanian tourism companies. In order to achieve the research aims, researcher developed a questionnaire and distributed it to a 43-individual sample randomly. The research results in that the extent of interest in decision support systems and reengineering work systems doesn’t get that high, and clearly there was a cause and effect relationship between decision support systems and reengineer...

  18. AQUAZONE: A Spatial Decision Support System for Aquatic Zone Management

    Directory of Open Access Journals (Sweden)

    Sekhri A. Arezki

    2015-03-01

    Full Text Available During the last years, the Sebkha Lake of Oran (Algeria has been the subject of many studies for its protection and recovery. Many environmental and wetlands experts are a hope on the integration of this rich and fragile space, ecologically, as a pilot project in "management of water tides". Support the large of Sebkha (Lake of Oran is a major concern for governments looking to make this a protected natural area and viable place. It was a question of putting in place a management policy to respond to the requirements of economic, agricultural and urban development and the preservation of this natural site through management of its water and the preservation of its quality. The objective of this study is to design and develop a Spatial Decision Support System, namely AQUAZONE, able to assist decision makers in various natural resource management projects. The proposed system integrates remote sensing image processing methods, from display operations, to analysis results, in order to extract useful knowledge to best natural resource management, and in particular define the extension of Sebkha Lake of Oran (Algeria. Two methods were applied to classify LANDSAT 5 TM images of Oran (Algeria: Fuzzy C-Means (FCM applied on multi spectral images, and the other that comes with the manual which is the Ordered Queue-based Watershed (OQW. The FCM will serve as initialization phase, to automatically discover the different classes (urban, forest, water, etc.. from a LANDSAT 5 TM images, and also minimize ambiguity in grayscale and establish Land cover map of this region.

  19. Geospatial decision support systems for societal decision making

    Science.gov (United States)

    Bernknopf, R.L.

    2005-01-01

    While science provides reliable information to describe and understand the earth and its natural processes, it can contribute more. There are many important societal issues in which scientific information can play a critical role. Science can add greatly to policy and management decisions to minimize loss of life and property from natural and man-made disasters, to manage water, biological, energy, and mineral resources, and in general, to enhance and protect our quality of life. However, the link between science and decision-making is often complicated and imperfect. Technical language and methods surround scientific research and the dissemination of its results. Scientific investigations often are conducted under different conditions, with different spatial boundaries, and in different timeframes than those needed to support specific policy and societal decisions. Uncertainty is not uniformly reported in scientific investigations. If society does not know that data exist, what the data mean, where to use the data, or how to include uncertainty when a decision has to be made, then science gets left out -or misused- in a decision making process. This paper is about using Geospatial Decision Support Systems (GDSS) for quantitative policy analysis. Integrated natural -social science methods and tools in a Geographic Information System that respond to decision-making needs can be used to close the gap between science and society. The GDSS has been developed so that nonscientists can pose "what if" scenarios to evaluate hypothetical outcomes of policy and management choices. In this approach decision makers can evaluate the financial and geographic distribution of potential policy options and their societal implications. Actions, based on scientific information, can be taken to mitigate hazards, protect our air and water quality, preserve the planet's biodiversity, promote balanced land use planning, and judiciously exploit natural resources. Applications using the

  20. Reliability of decision-support systems for nuclear emergency management

    Energy Technology Data Exchange (ETDEWEB)

    Ionescu, Tudor B.

    2013-08-15

    Decision support systems for nuclear emergency management (DSNE) are currently used worldwide to assist decision makers in taking emergency response countermeasures in case of accidental releases of radioactive materials from nuclear facilities. The present work has been motivated by the fact that, up until now, DSNE systems have not been regarded as safetycritical software systems, such as embedded software currently being used in vehicles and aircraft. The core of any DSNE system is represented by the different simulation codes linked together to form the dispersion simulation workflow. These codes require input emission and meteorological data to produce forecasts of the atmospheric dispersion of radioactive pollutants and other substances. However, the reliability of the system not only depends on the trustworthiness of the measured (or generated) input data but also on the reliability of the simulation codes used. The main goal of this work is to improve the reliability of DSNE systems by adapting current state of the art methods from the domain of software reliability engineering to the case of atmospheric dispersion simulation codes. The current approach is based on the design by diversity principle for improving the reliability of codes and the trustworthiness of results as well as on a flexible fault-tolerant workflow scheduling algorithm for ensuring the maximum availability of the system. The author's contribution is represented by (i) an acceptance test for dispersion simulation results, (ii) an adjudication algorithm (voter) based on comparing taxonomies of dispersion simulation results, and (iii) a feedback-control based fault-tolerant workflow scheduling algorithm. These tools provide means for the continuous verification of dispersion simulation codes while tolerating timing faults caused by disturbances in the underlying computational environment and will thus help increase the reliability and trustworthiness of DSNE systems in missioncritical

  1. Team Machine: A Decision Support System for Team Formation

    Science.gov (United States)

    Bergey, Paul; King, Mark

    2014-01-01

    This paper reports on the cross-disciplinary research that resulted in a decision-support tool, Team Machine (TM), which was designed to create maximally diverse student teams. TM was used at a large United States university between 2004 and 2012, and resulted in significant improvement in the performance of student teams, superior overall balance…

  2. Report of subgroup epidemiology and decision support systems

    NARCIS (Netherlands)

    Kessel, G.J.T.; Hansen, J.G.

    2010-01-01

    Developments Decision Support Models. In France, the DSS’s Mildi-LIS and MilPV merged to form a new DSS for advisors and potato growers: Mileos. Furthermore, DSS’s for organic production in France (Fredon) and Germany (Oko-SIMPHYT) were developed to help scheduling copper applications within the nat

  3. How Decision Support Systems Can Benefit from a Theory of Change Approach

    Science.gov (United States)

    Allen, Will; Cruz, Jennyffer; Warburton, Bruce

    2017-06-01

    Decision support systems are now mostly computer and internet-based information systems designed to support land managers with complex decision-making. However, there is concern that many environmental and agricultural decision support systems remain underutilized and ineffective. Recent efforts to improve decision support systems use have focused on enhancing stakeholder participation in their development, but a mismatch between stakeholders' expectations and the reality of decision support systems outputs continues to limit uptake. Additional challenges remain in problem-framing and evaluation. We propose using an outcomes-based approach called theory of change in conjunction with decision support systems development to support both wider problem-framing and outcomes-based monitoring and evaluation. The theory of change helps framing by placing the decision support systems within a wider context. It highlights how decision support systems use can "contribute" to long-term outcomes, and helps align decision support systems outputs with these larger goals. We illustrate the benefits of linking decision support systems development and application with a theory of change approach using an example of pest rabbit management in Australia. We develop a theory of change that outlines the activities required to achieve the outcomes desired from an effective rabbit management program, and two decision support systems that contribute to specific aspects of decision making in this wider problem context. Using a theory of change in this way should increase acceptance of the role of decision support systems by end-users, clarify their limitations and, importantly, increase effectiveness of rabbit management. The use of a theory of change should benefit those seeking to improve decision support systems design, use and, evaluation.

  4. How Decision Support Systems Can Benefit from a Theory of Change Approach.

    Science.gov (United States)

    Allen, Will; Cruz, Jennyffer; Warburton, Bruce

    2017-03-09

    Decision support systems are now mostly computer and internet-based information systems designed to support land managers with complex decision-making. However, there is concern that many environmental and agricultural decision support systems remain underutilized and ineffective. Recent efforts to improve decision support systems use have focused on enhancing stakeholder participation in their development, but a mismatch between stakeholders' expectations and the reality of decision support systems outputs continues to limit uptake. Additional challenges remain in problem-framing and evaluation. We propose using an outcomes-based approach called theory of change in conjunction with decision support systems development to support both wider problem-framing and outcomes-based monitoring and evaluation. The theory of change helps framing by placing the decision support systems within a wider context. It highlights how decision support systems use can "contribute" to long-term outcomes, and helps align decision support systems outputs with these larger goals. We illustrate the benefits of linking decision support systems development and application with a theory of change approach using an example of pest rabbit management in Australia. We develop a theory of change that outlines the activities required to achieve the outcomes desired from an effective rabbit management program, and two decision support systems that contribute to specific aspects of decision making in this wider problem context. Using a theory of change in this way should increase acceptance of the role of decision support systems by end-users, clarify their limitations and, importantly, increase effectiveness of rabbit management. The use of a theory of change should benefit those seeking to improve decision support systems design, use and, evaluation.

  5. The Feasibility of a Decision Support System for the Determination of Source Selection Evaluation Criteria

    Science.gov (United States)

    1984-09-01

    a useful tool. Decision Support Systems Overview . . The U.S. Army Research Institute for the Behavioral and Social Sciences has developed a Decision...KtI I - uAujvhIMtf IENE In THE FEASIBILITY OF A DECISION SUPPORT SYSTEM FOR THE DETERMINATION OF SOURCE SELECTION EVALUATION ’CRITERIA THESIS .2...INSTITUTE OF TECHNOLOGY Wright-Patterson Air Force Base, Ohio DZM=0N STATEMENT A ,’r !’ILMILSHIM S /8 4 THE FEASIBILITY OF A DECISION SUPPORT SYSTEM FOR

  6. Visualization Component of Vehicle Health Decision Support System

    Science.gov (United States)

    Jacob, Joseph; Turmon, Michael; Stough, Timothy; Siegel, Herbert; Walter, patrick; Kurt, Cindy

    2008-01-01

    The visualization front-end of a Decision Support System (DSS) also includes an analysis engine linked to vehicle telemetry, and a database of learned models for known behaviors. Because the display is graphical rather than text-based, the summarization it provides has a greater information density on one screen for evaluation by a flight controller.This tool provides a system-level visualization of the state of a vehicle, and drill-down capability for more details and interfaces to separate analysis algorithms and sensor data streams. The system-level view is a 3D rendering of the vehicle, with sensors represented as icons, tied to appropriate positions within the vehicle body and colored to indicate sensor state (e.g., normal, warning, anomalous state, etc.). The sensor data is received via an Information Sharing Protocol (ISP) client that connects to an external server for real-time telemetry. Users can interactively pan, zoom, and rotate this 3D view, as well as select sensors for a detail plot of the associated time series data. Subsets of the plotted data can be selected and sent to an external analysis engine to either search for a similar time series in an historical database, or to detect anomalous events. The system overview and plotting capabilities are completely general in that they can be applied to any vehicle instrumented with a collection of sensors. This visualization component can interface with the ISP for data streams used by NASA s Mission Control Center at Johnson Space Center. In addition, it can connect to, and display results from, separate analysis engine components that identify anomalies or that search for past instances of similar behavior. This software supports NASA's Software, Intelligent Systems, and Modeling element in the Exploration Systems Research and Technology Program by augmenting the capability of human flight controllers to make correct decisions, thus increasing safety and reliability. It was designed specifically as a

  7. Proactive Decision Support Via Narrative-Integrated Multi-Level Support System (NIMSS)

    Science.gov (United States)

    2014-11-30

    30/2014 Final Report 07/11/2014 - 11/30/2014 Final Report - Proactive Decision Support Via Narrative -Integrated Multi-Level Support System (NIMSS...think, demonstrated via a realistic Naval/Marine Corps warfighting domain. Context-driven decision making; proactive decision support; narrative ...0005, CDRL B001 Proactive Decision Support via Narrative -Integrated Multi-level Support System (NIMSS) CHI Project # 14002 Purchase Order: N00014

  8. A decision support system for regional hazardous waste management alternatives

    OpenAIRE

    Mahyar A. Amouzegar; Jacobsen, Stephen E.

    1998-01-01

    With the passage of the Resource Conservation and Recovery Act (RCRA), and the subsequent amendments to RCRA, efforts to provide tighter controls on the transportation and disposal of hazardous waste have been steadily gaining ground. This paper, intended as a decision support tool for regional planning, incorporates information on the hazardous waste generation, treatment capacity and the costs of waste treatment alternatives into an optimization problem of finding the relationship between g...

  9. Computer aided decision support system for cervical cancer classification

    Science.gov (United States)

    Rahmadwati, Rahmadwati; Naghdy, Golshah; Ros, Montserrat; Todd, Catherine

    2012-10-01

    Conventional analysis of a cervical histology image, such a pap smear or a biopsy sample, is performed by an expert pathologist manually. This involves inspecting the sample for cellular level abnormalities and determining the spread of the abnormalities. Cancer is graded based on the spread of the abnormal cells. This is a tedious, subjective and time-consuming process with considerable variations in diagnosis between the experts. This paper presents a computer aided decision support system (CADSS) tool to help the pathologists in their examination of the cervical cancer biopsies. The main aim of the proposed CADSS system is to identify abnormalities and quantify cancer grading in a systematic and repeatable manner. The paper proposes three different methods which presents and compares the results using 475 images of cervical biopsies which include normal, three stages of pre cancer, and malignant cases. This paper will explore various components of an effective CADSS; image acquisition, pre-processing, segmentation, feature extraction, classification, grading and disease identification. Cervical histological images are captured using a digital microscope. The images are captured in sufficient resolution to retain enough information for effective classification. Histology images of cervical biopsies consist of three major sections; background, stroma and squamous epithelium. Most diagnostic information are contained within the epithelium region. This paper will present two levels of segmentations; global (macro) and local (micro). At the global level the squamous epithelium is separated from the background and stroma. At the local or cellular level, the nuclei and cytoplasm are segmented for further analysis. Image features that influence the pathologists' decision during the analysis and classification of a cervical biopsy are the nuclei's shape and spread; the ratio of the areas of nuclei and cytoplasm as well as the texture and spread of the abnormalities

  10. A Decision Support System for Identification and Evaluation of High-tech Products

    Institute of Scientific and Technical Information of China (English)

    GAO Chang-yuan; LIANG Jing-guo; CAO Xiu-ying

    2002-01-01

    According to high-tech product features and decision support system theory, a decision support system (DSS) for identification and evaluation of high-tech products has been designed which consists of the user interface subsystem, the data management subsystem, the model management subsystem and the knowledge management subsystem. This paper describes the function and the framework of the system.

  11. Importance of Decision Support Systems About Food Safety in Raw Milk Production

    Directory of Open Access Journals (Sweden)

    Ecem Akan

    2015-12-01

    Full Text Available In raw milk production decision support systems for control of food safety hazards has not been developed but main points of this system are available. The decision support systems’ elements include data identification at critical points in the milk supply chain, an information management system and data exchange. Decision supports systems has been developed on the basis of these elements. In dairy sector decision support systems are significant for controlling of food safety hazards and preferred by producers. When these systems are implemented in the milk supply chain, it can be prevented unnecessary sampling and analysis. In this article it will be underlined effects of decision support system elements on food safety of raw milk.

  12. Website as Co-Created Decision Support System Towards Enhanced Experience of Solo City Tourism

    Directory of Open Access Journals (Sweden)

    Utomo Sarjono Putro

    2016-12-01

    Full Text Available Abstract. The linkage among information-intensive era, technology, and tourism industry build inseparable genetic relationship which is supposed to be realized in practice. Let alone in this digital era, the urgency to exploit information to the next level resulted in the need to bring a higher game on the technology in order to manage information effectively and efficiently. Tourism industry is categorized as complex system regarding the components substituted it. The diverse elements which interact with dynamics pace give birth to complex tasks to manage by the responsible parties and consequently enhance experience in tourism industry. Competing with complex situation, computerized decision system is urgently needed to collect and also distribute accurate knowledge of tourism industry, collaborate with both supporting public and private sectors, and gain rationality for all stakeholders in the system. Solo city, known also as Surakarta and located in Central Java (Indonesia, is obliged to do its tourism industry justice as it is an important vehicle for regional development of the city. Tourism industry of Solo city represents the major and significant contributor to the local economy to the point where tourism is the brand of Solo city. Taking the prior research finding, value orchestration platform to promote tourism in batik Solo industrial cluster into the reference, this study improves the model by highlighting the duality function the tourism website supposed to have using hashtag (# minings principle as the latest user interface technology. This study proposes a collaborative website platform as a co-created decision support system to enhance tourism experience for tourist as consumer and optimize management process for Department of Culture and Tourism of Solo city as provider. Keywords: Decision support system, hashtag mining, service-dominant logic, solo city, tourism experience

  13. Developing a Software for Fuzzy Group Decision Support System: A Case Study

    Science.gov (United States)

    Baba, A. Fevzi; Kuscu, Dincer; Han, Kerem

    2009-01-01

    The complex nature and uncertain information in social problems required the emergence of fuzzy decision support systems in social areas. In this paper, we developed user-friendly Fuzzy Group Decision Support Systems (FGDSS) software. The software can be used for multi-purpose decision making processes. It helps the users determine the main and…

  14. AppBuilder for DSSTools; an application development environment for developing decision support systems in Prolog

    Science.gov (United States)

    Geneho Kim; Donald Nute; H. Michael Rauscher; David L. Loftis

    2000-01-01

    A programming environment for developing complex decision support systems (DSSs) should support rapid prototyping and modular design, feature a flexible knowledge representation scheme and sound inference mechanisms, provide project management, and be domain independent. We have previously developed DSSTools (Decision Support System Tools), a reusable, domain-...

  15. Do decision support systems influence variation in prescription?

    NARCIS (Netherlands)

    Jong, J.D. de; Groenewegen, P.P.; Spreeuwenberg, P.; Westert, G.P.; Bakker, D.H. de

    2009-01-01

    Background: Translating scientific evidence into daily practice is problematic. All kinds of intervention strategies, using educational and/or directive strategies, aimed at modifying behavior, have evolved, but have been found only partially successful. In this article the focus is on (computerized

  16. Do decision support systems influence variation in prescription?

    NARCIS (Netherlands)

    Jong, J.D. de; Groenewegen, P.P.; Spreeuwenberg, P.; Westert, G.P.; Bakker, D.H. de

    2009-01-01

    BACKGROUND: Translating scientific evidence into daily practice is problematic. All kinds of intervention strategies, using educational and/or directive strategies, aimed at modifying behavior, have evolved, but have been found only partially successful. In this article the focus is on (computerized

  17. An Oceanographic Decision Support System for Scientific Field Experiments

    Science.gov (United States)

    Maughan, T.; Das, J.; McCann, M. P.; Rajan, K.

    2011-12-01

    Thom Maughan, Jnaneshwar Das, Mike McCann, Danelle Cline, Mike Godin, Fred Bahr, Kevin Gomes, Tom O'Reilly, Frederic Py, Monique Messie, John Ryan, Francisco Chavez, Jim Bellingham, Maria Fox, Kanna Rajan Monterey Bay Aquarium Research Institute Moss Lading, California, United States Many of the coastal ocean processes we wish to observe in order to characterize marine ecosystems have large spatial extant (tens of square km) and are dynamic moving kilometers in a day with biological processes spanning anywhere from minutes to days. Some like harmful algal blooms generate toxins which can significantly impact human health and coastal economies. In order to obtain a viable understanding of the biogeochemical processes which define their dynamics and ecology, it is necessary to persistently observe, track and sample within and near the dynamic fields using augmented methods of observation such as autonomous platforms like AUVs, gliders and surface craft. Field experiments to plan, execute and manage such multitude of assets are challenging. To alleviate this problem the autonomous systems group with its collaborators at MBARI and USC designed, built and fielded a prototype Oceanographic Decision Support System (ODSS) that provides situational awareness and a single portal to visualize and plan deployments for the large scale October 2010 CANON field program as well as a series of 2 week field programs in 2011. The field programs were conducted in Monterey Bay, a known 'red tide' incubator, and varied from as many as twenty autonomous platforms, four ships and 2 manned airplanes to coordinated AUV operations, drifters and a single ship. The ODSS web-based portal was used to assimilate information from a collection of sources at sea, including AUVs, moorings, radar data as well as remote sensing products generated by partner organizations to provide a synthesis of views useful to predict the movement of a chlorophyll patch in the confines of the northern Monterey Bay

  18. The Use of Decision Support Systems in Social Work: A Scoping Study Literature Review.

    Science.gov (United States)

    Liedgren, Pernilla; Elvhage, Gudrun; Ehrenberg, Anna; Kullberg, Christian

    2016-01-01

    Decision support systems are known to be helpful for professionals in many medical professions. In social work, decision support systems have had modest use, accompanied by strong criticism from the profession but often by praise from political management. In this study the aim of the authors was to collect and report on the published evidence on decision support systems in social work. The conclusion of the authors is that a decision support system gives support to social workers in conducting a thorough investigation, but at the same time gives them the freedom to make autonomous decisions that might be the most helpful for and used by social workers. Their results also indicate that decision support systems focusing on atypical rather than typical cases are perceived as the most useful among experienced staff.

  19. Hydrologic Drought Decision Support System (HyDroDSS)

    Science.gov (United States)

    Granato, Gregory E.

    2014-01-01

    The hydrologic drought decision support system (HyDroDSS) was developed by the U.S. Geological Survey (USGS) in cooperation with the Rhode Island Water Resources Board (RIWRB) for use in the analysis of hydrologic variables that may indicate the risk for streamflows to be below user-defined flow targets at a designated site of interest, which is defined herein as data-collection site on a stream that may be adversely affected by pumping. Hydrologic drought is defined for this study as a period of lower than normal streamflows caused by precipitation deficits and (or) water withdrawals. The HyDroDSS is designed to provide water managers with risk-based information for balancing water-supply needs and aquatic-habitat protection goals to mitigate potential effects of hydrologic drought. This report describes the theory and methods for retrospective streamflow-depletion analysis, rank correlation analysis, and drought-projection analysis. All three methods are designed to inform decisions made by drought steering committees and decisionmakers on the basis of quantitative risk assessment. All three methods use estimates of unaltered streamflow, which is the measured or modeled flow without major withdrawals or discharges, to approximate a natural low-flow regime. Retrospective streamflow-depletion analysis can be used by water-resource managers to evaluate relations between withdrawal plans and the potential effects of withdrawal plans on streams at one or more sites of interest in an area. Retrospective streamflow-depletion analysis indicates the historical risk of being below user-defined flow targets if different pumping plans were implemented for the period of record. Retrospective streamflow-depletion analysis also indicates the risk for creating hydrologic drought conditions caused by use of a pumping plan. Retrospective streamflow-depletion analysis is done by calculating the net streamflow depletions from withdrawals and discharges and applying these depletions

  20. Optimization-based decision support systems for planning problems in processing industries

    NARCIS (Netherlands)

    Claassen, G.D.H.

    2014-01-01

    Summary Optimization-based decision support systems for planning problems in processing industries Nowadays, efficient planning of material flows within and between supply chains is of vital importance and has become one of the most challenging problems for decision support in practice. The

  1. Optimization-based decision support systems for planning problems in processing industries

    NARCIS (Netherlands)

    Claassen, G.D.H.

    2014-01-01

    Summary Optimization-based decision support systems for planning problems in processing industries Nowadays, efficient planning of material flows within and between supply chains is of vital importance and has become one of the most challenging problems for decision support in practice. The tremendo

  2. Optimization-based decision support systems for planning problems in processing industries

    NARCIS (Netherlands)

    Claassen, G.D.H.

    2014-01-01

    Summary Optimization-based decision support systems for planning problems in processing industries Nowadays, efficient planning of material flows within and between supply chains is of vital importance and has become one of the most challenging problems for decision support in practice. The tremendo

  3. A free software tool for the development of decision support systems

    Directory of Open Access Journals (Sweden)

    COLONESE, G

    2008-06-01

    Full Text Available This article describes PostGeoOlap, a free software open source tool for decision support that integrates OLAP (On-Line Analytical Processing and GIS (Geographical Information Systems. Besides describing the tool, we show how it can be used to achieve effective and low cost decision support that is adequate for small and medium companies and for small public offices.

  4. Decision Support System for Maintenance Management Using Bayesian Networks

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    The maintenance process has undergone several major developments that have led to proactive considerations and the transformation from the traditional "fail and fix" practice into the "predict and prevent" proactive maintenance methodology. The anticipation action, which characterizes this proactive maintenance strategy is mainly based on monitoring, diagnosis, prognosis and decision-making modules. Oil monitoring is a key component of a successful condition monitoring program. It can be used as a proactive tool to identify the wear modes of rubbing parts and diagnoses the faults in machinery. But diagnosis relying on oil analysis technology must deal with uncertain knowledge and fuzzy input data. Besides other methods, Bayesian Networks have been extensively applied to fault diagnosis with the advantages of uncertainty inference; however, in the area of oil monitoring, it is a new field. This paper presents an integrated Bayesian network based decision support for maintenance of diesel engines.

  5. GEOGRAPHICAL INFORMATION SYSTEM, DECISION SUPPORT SYSTEMS, AND URBAN STORMWATER MANAGEMENT

    Science.gov (United States)

    The full report reviews the application of Geographic Inforamtion System (GIS) technology to the field of urban stormwater modeling. The GIS literature is reviewed in the context of its use as a spatial database for urban stormwater modeling, integration of GIS and hydroloic time...

  6. Computerized clinical decision support for the early recognition and management of acute kidney injury: a qualitative evaluation of end-user experience.

    Science.gov (United States)

    Kanagasundaram, Nigel S; Bevan, Mark T; Sims, Andrew J; Heed, Andrew; Price, David A; Sheerin, Neil S

    2016-02-01

    Although the efficacy of computerized clinical decision support (CCDS) for acute kidney injury (AKI) remains unclear, the wider literature includes examples of limited acceptability and equivocal benefit. Our single-centre study aimed to identify factors promoting or inhibiting use of in-patient AKI CCDS. Targeting medical users, CCDS triggered with a serum creatinine rise of ≥25 μmol/L/day and linked to guidance and test ordering. User experience was evaluated through retrospective interviews, conducted and analysed according to Normalization Process Theory. Initial pilot ward experience allowed tool refinement. Assessments continued following CCDS activation across all adult, non-critical care wards. Thematic saturation was achieved with 24 interviews. The alert was accepted as a potentially useful prompt to early clinical re-assessment by many trainees. Senior staff were more sceptical, tending to view it as a hindrance. 'Pop-ups' and mandated engagement before alert dismissal were universally unpopular due to workflow disruption. Users were driven to close out of the alert as soon as possible to review historical creatinines and to continue with the intended workflow. Our study revealed themes similar to those previously described in non-AKI settings. Systems intruding on workflow, particularly involving complex interactions, may be unsustainable even if there has been a positive impact on care. The optimal balance between intrusion and clinical benefit of AKI CCDS requires further evaluation.

  7. XPLanner: A knowledge-based decision support system for facility management and planning

    OpenAIRE

    S-Y Han; Kim, T. J.; I Adiguzel

    1991-01-01

    A case study is reported of the design, implementation, and evaluation of a knowledge-based decision support system, XPLanner. XPLanner integrates an expert system with optimization modeling technique, database management system, and interactive user interface to create a comprehensive decision aid for facility management and planning by the US Army. It is believed that integrating the expert system with the modeling and data management capabilities of decision support systems can create a co...

  8. Agricultural Model for the Nile Basin Decision Support System

    Science.gov (United States)

    van der Bolt, Frank; Seid, Abdulkarim

    2014-05-01

    To analyze options for increasing food supply in the Nile basin the Nile Agricultural Model (AM) was developed. The AM includes state-of-the-art descriptions of biophysical, hydrological and economic processes and realizes a coherent and consistent integration of hydrology, agronomy and economics. The AM covers both the agro-ecological domain (water, crop productivity) and the economic domain (food supply, demand, and trade) and allows to evaluate the macro-economic and hydrological impacts of scenarios for agricultural development. Starting with the hydrological information from the NileBasin-DSS the AM calculates the available water for agriculture, the crop production and irrigation requirements with the FAO-model AquaCrop. With the global commodity trade model MAGNET scenarios for land development and conversion are evaluated. The AM predicts consequences for trade, food security and development based on soil and water availability, crop allocation, food demand and food policy. The model will be used as a decision support tool to contribute to more productive and sustainable agriculture in individual Nile countries and the whole region.

  9. Archetypes as interface between patient data and a decision support system.

    Science.gov (United States)

    Niès, Julie; Steichen, Olivier; Jaulent, Marie-Christine

    2007-10-11

    We propose an experiment to validate the hypothesis that archetypes enable better access and reliable use of patient data by a decision support system, mainly because they are designed to consistently link patient data with terminological systems and metadata.

  10. Development of a decision support system for Prioritization of multimedia dischargers

    Science.gov (United States)

    Keyes, Allison M.; Palmer, Richard N.

    1993-09-01

    In 1990 the Environmental Protection Agency (EPA) began sponsoring several pilot projects in its regional offices to examine the potential benefits of adopting a multimedia approach to facility management. This approach differs from traditional practices at EPA in that facilities (dischargers regulated under permits issued by the agency) are managed based upon their cumulative impacts to all media: air, water, and land. Currently, facilities are managed by separate programs at EPA that evaluate environmental impacts from a single-media perspective. One aspect of discharger management is the necessity to allocate limited financial resources in a way that will minimize risk to human health and the environment. A careful, risk-based prioritization of facilities is one means of providing insight to the most effective strategy of allocating monitoring, inspection, and enforcement resources. Prioritization from a multimedia perspective is particularly difficult, however, since it requires translation and integration of medium-specific facility performances, management objectives, and perceptions of risk into a cumulative rating. A computerized decision support system (DSS) designed to guide management through the prioritization process from a multimedia perspective was identified as a potentially valuable tool for use in the pilot projects. This article describes the development of such a prototype, outlines the features of the completed system, and discusses its potential for use at EPA.

  11. Decision support system for monitoring environmental-human interactions.

    Science.gov (United States)

    Delavari-Edalat, Farideh; Abdi, M Reza

    2009-06-01

    The specific aim of this study is to investigate popular attitudes toward trees. The paper is involved the understanding of biophilia tendencies with respect to people's views in an urban area. Biophilia is considered as the idea insisting on the dependency of human identity on his relationship with nature. The biophilia fundamental tendencies were explored to establish a biological framework for valuing and affiliating the natural world. Accordingly, the nine tendencies i.e. utilitarian, naturalistic, ecologistic-scientific, aesthetic, symbolic, humanistic, moralistic, dominionistic, and negativistic were investigate to find out how people relate to the nature especially trees. The investigation was based on a quantitative interview which was applied to the public population in the Liverpool urban parks. Data collected from the designed questionnaire was followed by analysis of the data to identify people's attitudes towards trees. The results indicated how important the physical appeal and beauty of trees was for the people and also showed the people's emotional attachments to trees. Furthermore, a decision support model was proposed to evaluate human instincts and preferences in relation to their surrounding areas using the Analytical Hierarchical Process (AHP). The proposed model composed the environmental factors and the biophilia tendencies as the criteria of evaluating environmental-human interactions. A case study was then conducted in Liverpool parks to examine theses interactions. The data gathered was used as the input to the AHP model for the attribute analysis. The AHP model would enable environment managers to compose the relevant information via a link between human feelings about urban trees, and environmental factors for monitoring purposes and performance analysis.

  12. Construction of intelligent decision support system in control of gas compression process

    Directory of Open Access Journals (Sweden)

    Леонид Михайлович Замиховский

    2015-04-01

    Full Text Available The necessity to construct the intelligent decision support systems (IDSS in the control of the gas compression process with inclusion in structure of the training module is substantiated. А block diagram of human-computer interaction in the system "Dispatcher - IDSS - ASC GCU - CS" is shown, and the functions of the separate blocks of the intellectual decision support system in the control of the gas compression process are defined

  13. A decision support system for stress only myocardial perfusion scintigraphy may save unnecessary rest studies

    DEFF Research Database (Denmark)

    Tägil, K; Jakobsson, D; Lomsky, M

    2013-01-01

    The aim of this study was to investigate the influence of a computer-based decision support system (DSS) on performance and inter-observer variability of interpretations regarding ischaemia and infarction in myocardial perfusion scintigraphy (MPS)....

  14. GREENER CHEMICAL PROCESS DESIGN ALTERNATIVES ARE REVEALED USING THE WASTE REDUCTION DECISION SUPPORT SYSTEM (WAR DSS)

    Science.gov (United States)

    The Waste Reduction Decision Support System (WAR DSS) is a Java-based software product providing comprehensive modeling of potential adverse environmental impacts (PEI) predicted to result from newly designed or redesigned chemical manufacturing processes. The purpose of this so...

  15. Framework for securing personal health data in clinical decision support systems.

    Science.gov (United States)

    Sandell, Protik

    2007-01-01

    If appropriate security mechanisms aren't in place, individuals and groups can get unauthorized access to personal health data residing in clinical decision support systems (CDSS). These concerns are well founded; there has been a dramatic increase in reports of security incidents. The paper provides a framework for securing personal health data in CDSS. The framework breaks down CDSS into data gathering, data management and data delivery functions. It then provides the vulnerabilities that can occur in clinical decision support activities and the measures that need to be taken to protect the data. The framework is applied to protect the confidentiality, integrity and availability of personal health data in a decision support system. Using the framework, project managers and architects can assess the potential risk of unauthorized data access in their decision support system. Moreover they can design systems and procedures to effectively secure personal health data.

  16. Statistical Decision Support Tools for System-Oriented Runway Management Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The feasibility of developing a statistical decision support system for traffic flow management in the terminal area and runway load balancing was demonstrated in...

  17. Computer-Based Decision Support for Railroad Transportation Systems: an Investment Case Study

    Directory of Open Access Journals (Sweden)

    Luminita DUTA

    2009-01-01

    Full Text Available In the last decade the development of the economical and social life increased the complexity of transportation systems. In this context, the role of Decision Support Systems (DSS became more and more important. The paper presents the characteristics, necessity, and usage of DSS in transportation and describes a practical application in the railroad field. To compute the optimal transportation capacity and flow on a certain railroad, specialized decision-support software which is available on the market was used.

  18. Workflow Driven Decision Support Systems: A case of an intra-operative visualization system for surgeons

    NARCIS (Netherlands)

    Jalote-Parmar, A.

    2009-01-01

    Inadequate visualization during Minimally Invasive Surgeries (MIS) has led several technology research labs to develop decision support systems such as Intra-operative Visualization Systems (IVS). IVS focuses on providing surgeons with real-time imaging support to improve task visualization and

  19. Modular structure of web-based decision support systems for integrated pest management. A review

    OpenAIRE

    Damos, Petros

    2015-01-01

    International audience; AbstractSustainable pest management implies less pesticide use and replacement by safe control alternatives. This requires decision support for rational pest management. However, in practice, successful decision making is dependent upon the availability of integrated, high-quality information. Computer-aided forecasting and related decision support systems make pest control more sustainable by avoiding unwanted consequences of pesticide applications. Here, I review int...

  20. Diagnosis for Control and Decision Support in Complex Systems

    DEFF Research Database (Denmark)

    Blanke, Mogens; Hansen, Søren; Blas, Morten Rufus

    2011-01-01

    with complex and nonlinear systems have matured and even though there are many un-solved problems, methodology and associated tools have become available in the form of theory and software for design. Genuine industrial cases have also become available. Analysis of system topology, referred to as structural...... for on-line prognosis and diagnosis. For complex systems, results from non-Gaussian detection theory have been employed with convincing results. The paper presents the theoretical foundation for design methodologies that now appear as enabling technology for a new area of design of systems...

  1. Towards automatic decision support for bike-sharing system design

    OpenAIRE

    ter Beek, Maurice H.; Gnesi, Stefania; Latella, Diego; Massink, Mieke

    2015-01-01

    Public bike-sharing systems are a popular means of sustainable urban mobility, but their successful introduction in a city stands or falls with their specific designs. What kind of bikes and docking stations are needed, how many and where to install them? How to avoid as much as possible that stations are completely empty or full for some period? Hence, a bike-sharing system can be seen both as a highly (re)configurable system and as a collective adaptive system. In this paper, we present two...

  2. Multi-agent System for Rapid TST Decision Support

    Science.gov (United States)

    2008-06-01

    13th ICCRTS: C2 for Complex Endeavors “ Multi - agent System for Rapid TST Decision Support” Topic #5, #8 and #9 Joseph Barker, Dr. Robert...OMB control number. 1. REPORT DATE JUN 2008 2. REPORT TYPE 3. DATES COVERED 00-00-2008 to 00-00-2008 4. TITLE AND SUBTITLE Multi - agent System for...unclassified Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18 13th ICCRTS: C2 for Complex Endeavors Multi - agent System for Rapid TST Decision

  3. Intelligent decision support algorithm for distribution system restoration.

    Science.gov (United States)

    Singh, Reetu; Mehfuz, Shabana; Kumar, Parmod

    2016-01-01

    Distribution system is the means of revenue for electric utility. It needs to be restored at the earliest if any feeder or complete system is tripped out due to fault or any other cause. Further, uncertainty of the loads, result in variations in the distribution network's parameters. Thus, an intelligent algorithm incorporating hybrid fuzzy-grey relation, which can take into account the uncertainties and compare the sequences is discussed to analyse and restore the distribution system. The simulation studies are carried out to show the utility of the method by ranking the restoration plans for a typical distribution system. This algorithm also meets the smart grid requirements in terms of an automated restoration plan for the partial/full blackout of network.

  4. MOIDSS?- Mobile Online Intelligent Decision Support System Project

    Data.gov (United States)

    National Aeronautics and Space Administration — A mapping solution will be developed that allows for geospatial-reality intelligent linking database with remotely sensed images. This system is designed to use...

  5. Development of a Mixed Scanning Interactive System for Decision Support.

    Science.gov (United States)

    1984-07-01

    0542 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBEN ETIca , VOL SMC-10, NO. 12, DBCDMER 1980 891 REFERENCES The options assumed available to the...stress coping patterns. Also they present a decision balance sheet, an adaptation of the moral VI. DI:cIStoNNtAKING FRAMEWORKS AND * algebra of Bentamin...feedback, the technology and resulting attributes are morally and psychologi- structure of. and roles within, the social system. Well-intearated

  6. Remedial action assessment system: Decision support for environmental cleanup

    Energy Technology Data Exchange (ETDEWEB)

    Pennock, K.A.; Bohn, S.; Franklin, A.L.

    1991-11-01

    A large number of hazardous waste sites across the United States await treatment. Waste sites can be physically complex entities composed of multiple, possibly interacting contaminants distributed throughout one or more media. The sites may be active as well with contaminants escaping through one or more potential escape paths. Treatment of these sites requires a long and costly commitment involving the coordination of activities among several waste treatment professionals. In order to reduce the cost and time required for the specification of treatment at these waste sites. The Remedial Action Assessment System (RAAS) was proposed. RAAS is an automated information management system which utilizes a combination of expert reasoning and numerical models to produce the combinations of treatment technologies, known as treatment trains, which satisfy the treatment objectives of a particular site. In addition, RAAS supports the analysis of these trains with regard to effectiveness and cost so that the viable treatment trains can be measured against each other. The Remedial Action Assessment System is a hybrid system designed and constructed using object-oriented tools and techniques. RAAS is advertised as a hybrid system because it combines, in integral fashion, numerical computing (primarily quantitative models) with expert system reasoning. An object-oriented approach was selected due to many of its inherent advantages, among these the naturalness of modeling physical objects and processes.

  7. Decision Support Systems for Launch and Range Operations Using Jess

    Science.gov (United States)

    Thirumalainambi, Rajkumar

    2007-01-01

    The virtual test bed for launch and range operations developed at NASA Ames Research Center consists of various independent expert systems advising on weather effects, toxic gas dispersions and human health risk assessment during space-flight operations. An individual dedicated server supports each expert system and the master system gather information from the dedicated servers to support the launch decision-making process. Since the test bed is based on the web system, reducing network traffic and optimizing the knowledge base is critical to its success of real-time or near real-time operations. Jess, a fast rule engine and powerful scripting environment developed at Sandia National Laboratory has been adopted to build the expert systems providing robustness and scalability. Jess also supports XML representation of knowledge base with forward and backward chaining inference mechanism. Facts added - to working memory during run-time operations facilitates analyses of multiple scenarios. Knowledge base can be distributed with one inference engine performing the inference process. This paper discusses details of the knowledge base and inference engine using Jess for a launch and range virtual test bed.

  8. Healthcare decision support system for administration of chronic diseases.

    Science.gov (United States)

    Woo, Ji-In; Yang, Jung-Gi; Lee, Young-Ho; Kang, Un-Gu

    2014-07-01

    A healthcare decision-making support model and rule management system is proposed based on a personalized rule-based intelligent concept, to effectively manage chronic diseases. A Web service was built using a standard message transfer protocol for interoperability of personal health records among healthcare institutions. An intelligent decision service is provided that analyzes data using a service-oriented healthcare rule inference function and machine-learning platform; the rules are extensively compiled by physicians through a developmental user interface that enables knowledge base construction, modification, and integration. Further, screening results are visualized for the self-intuitive understanding of personal health status by patients. A recommendation message is output through the Web service by receiving patient information from the hospital information recording system and object attribute values as input factors. The proposed system can verify patient behavior by acting as an intellectualized backbone of chronic diseases management; further, it supports self-management and scheduling of screening. Chronic patients can continuously receive active recommendations related to their healthcare through the rule management system, and they can model the system by acting as decision makers in diseases management; secondary diseases can be prevented and health management can be performed by reference to patient-specific lifestyle guidelines.

  9. Computerized procedures system

    Science.gov (United States)

    Lipner, Melvin H.; Mundy, Roger A.; Franusich, Michael D.

    2010-10-12

    An online data driven computerized procedures system that guides an operator through a complex process facility's operating procedures. The system monitors plant data, processes the data and then, based upon this processing, presents the status of the current procedure step and/or substep to the operator. The system supports multiple users and a single procedure definition supports several interface formats that can be tailored to the individual user. Layered security controls access privileges and revisions are version controlled. The procedures run on a server that is platform independent of the user workstations that the server interfaces with and the user interface supports diverse procedural views.

  10. [Knowledge management system for laboratory work and clinical decision support].

    Science.gov (United States)

    Inada, Masanori; Sato, Mayumi; Yoneyama, Akiko

    2011-05-01

    This paper discusses a knowledge management system for clinical laboratories. In the clinical laboratory of Toranomon Hospital, we receive about 20 questions relevant to laboratory tests per day from medical doctors or co-medical staff. These questions mostly involve the essence to appropriately accomplish laboratory tests. We have to answer them carefully and suitably because an incorrect answer may cause a medical accident. Up to now, no method has been in place to achieve a rapid response and standardized answers. For this reason, the laboratory staff have responded to various questions based on their individual knowledge. We began to develop a knowledge management system to promote the knowledge of staff working for the laboratory. This system is a type of knowledge base for assisting the work, such as inquiry management, laboratory consultation, process management, and clinical support. It consists of several functions: guiding laboratory test information, managing inquiries from medical staff, reporting results of patient consultation, distributing laboratory staffs notes, and recording guidelines for laboratory medicine. The laboratory test information guide has 2,000 records of medical test information registered in the database with flexible retrieval. The inquiry management tool provides a methos to record all questions, answer easily, and retrieve cases. It helps staff to respond appropriately in a short period of time. The consulting report system treats patients' claims regarding medical tests. The laboratory staffs notes enter a file management system so they can be accessed to aid in clinical support. Knowledge sharing using this function can achieve the transition from individual to organizational learning. Storing guidelines for laboratory medicine will support EBM. Finally, it is expected that this system will support intellectual activity concerning laboratory work and contribute to the practice of knowledge management for clinical work support.

  11. Data assimilation in the decision support system RODOS

    DEFF Research Database (Denmark)

    Rojas-Palma, C.; Madsen, H.; Gering, F.

    2003-01-01

    Model predictions for a rapid assessment and prognosis of possible radiological consequences after an accidental release of radionuclides play an important role in nuclear emergency management. Radiological observations, e.g. dose rate measurements. can be used to improve such model predictions...... filters, are under development for several modules of the RODOS system, including the atmospheric dispersion, deposition, food chain and hydrological models. The use of such a generic data assimilation methodology enables the propagation of uncertainties throughout the various modules of the system...

  12. Triggers for the critical engagement with decision support systems

    NARCIS (Netherlands)

    Hartmann, Timo; Javernick-Will, A.; Chinowsky, P.

    2012-01-01

    In previous work, we showed that the critical engagement with a decision sup- port system during its implementation by a project team is an important an- tecedent for the successful later use of the technology. However, the mechanisms that trigger such critical engagement are so far not well

  13. Triggers for the critical engagement with decision support systems

    NARCIS (Netherlands)

    Hartmann, Timo; Javernick-Will, A.; Chinowsky, P.

    2012-01-01

    In previous work, we showed that the critical engagement with a decision sup- port system during its implementation by a project team is an important an- tecedent for the successful later use of the technology. However, the mechanisms that trigger such critical engagement are so far not well underst

  14. A Study on Integrated Model of Decision Support Systems

    Institute of Scientific and Technical Information of China (English)

    MO Zan; FENG Shan; TANG Chao

    2002-01-01

    This paper discusses two kinds of systems integrated models available to DSS: Multi-AgentBased Model and Application-Framework-Oriented Model. Both of them are application-oriented integration so it is possible to combine them at the level of application. Based on this theory, this paper presents a new model, MAAFUM, which combines two models and applies them synthetically in DSS.

  15. Computer decision support system for the stomach cancer diagnosis

    Science.gov (United States)

    Polyakov, E. V.; Sukhova, O. G.; Korenevskaya, P. Y.; Ovcharova, V. S.; Kudryavtseva, I. O.; Vlasova, S. V.; Grebennikova, O. P.; Burov, D. A.; Yemelyanova, G. S.; Selchuk, V. Y.

    2017-01-01

    The paper considers the creation of the computer knowledge base containing the data of histological, cytologic, and clinical researches. The system is focused on improvement of diagnostics quality of stomach cancer - one of the most frequent death causes among oncologic patients.

  16. Decision support for information systems management : applying analytic hierarchy process

    NARCIS (Netherlands)

    Huizingh, Eelko K.R.E.; Vrolijk, Hans C.J.

    1995-01-01

    Decision-making in the field of information systems has become more complex due to a larger number of alternatives, multiple and sometimes conflicting goals, and an increasingly turbulent environment. In this paper we explore the appropriateness of Analytic Hierarchy Process to support I/S decision

  17. Decision support for information systems management : applying analytic hierarchy process

    NARCIS (Netherlands)

    Huizingh, Eelko K.R.E.; Vrolijk, Hans C.J.

    1995-01-01

    Decision-making in the field of information systems has become more complex due to a larger number of alternatives, multiple and sometimes conflicting goals, and an increasingly turbulent environment. In this paper we explore the appropriateness of Analytic Hierarchy Process to support I/S decision

  18. Sustainability Decision Support Framework for Industrial System Prioritization

    DEFF Research Database (Denmark)

    Ren, Jingzheng; Wei, Shunan; Goodsite, Michael Evan

    2016-01-01

    A multicriteria decision-making methodology for the sustainability prioritization of industrial systems is proposed. The methodology incorporates a fuzzy Analytic Hierarchy Process method that allows the users to assess the soft criteria using linguistic terms. A fuzzy Analytic Network Process...... method is used to calculate the weights of each criterion, which can tackle the interdependencies and interactions among the criteria. The Preference Ranking Organization Method for Enrichment Evaluation approach is used to prioritize the sustainability sequence of the alternative systems. Moreover......, a sensitivity analysis method was developed to investigate the most critical and sensitive criteria. The developed methodology was illustrated by a case study to rank the sustainability of five alternative hydrogen production technologies. The advantages of the developed methodology over the previous approaches...

  19. Systems Medicine for Multiple Myeloma: A Review on Decision Support Systems.

    Science.gov (United States)

    Ganzinger, Matthias; Haux, Christian; Karmen, Christian; Wetter, Thomas; Knaup, Petra

    2015-01-01

    Systems medicine is a current approach trying to improve treatment for patients with complex diseases by analyzing as much phenotype and genotype data as possible for the disease in question. For individualized treatment decisions in clinical practice, this task has to be supported by an application system with decision support component. For a research project on systems medicine we reviewed methods for decision support. Criteria for selecting a method are derived from characteristics of the data and the diseases. They include, among others: dimensionality of data and existence of a priori models for diseases. As a result we decided to implement a prototype system with a case-based reasoning component for systems medicine on multiple myeloma.

  20. Decision support for information systems management: applying analytic hierarchy process

    OpenAIRE

    Huizingh, Eelko K.R.E.; Vrolijk, Hans C.J.

    1995-01-01

    Decision-making in the field of information systems has become more complex due to a larger number of alternatives, multiple and sometimes conflicting goals, and an increasingly turbulent environment. In this paper we explore the appropriateness of Analytic Hierarchy Process to support I/S decision making. AHP can be applied if the decision problem includes multiple objectives, conflicting criteria, incommensurable units, and aims at selecting an alternative from a known set of alternatives. ...

  1. Land resource sustainability for urban development: spatial decision support system prototype.

    Science.gov (United States)

    Banai, Reza

    2005-08-01

    Land resource sustainability for urban development characterizes the problem of decision-making with multiplicity and uncertainty. A decision support system prototype aids in the assessment of incremental land development plan proposals put forth within the long-term community priority of a sustainable growth. Facilitating this assessment is the analytic hierarchy process (AHP), a multi-criteria evaluation and decision support system. The decision support system incorporates multiple sustainability criteria, weighted strategically responsive to local public policy priorities and community-specific situations and values, while gauging and directing desirable future courses of development. Furthermore, the decision support system uses a GIS, which facilitates an assessment of urban form with multiple indicators of sustainability as spatial criteria thematically. The resultant land-use sustainability scores indicate, on the ratio-scale of AHP, whether or not a desirable urban form is likely in the long run, and if so, to what degree. The two alternative modes of synthesis in AHP-ideal and distributive-provide assessments of a land development plan incrementally (short-term) and city-wide pattern comprehensively (long-term), respectively. Thus, the spatial decision support system facilitates proactive and collective public policy determination of land resource for future sustainable urban development.

  2. A computer-based decision support system aids distribution in planning and control of foodservices.

    Science.gov (United States)

    Hicks, Z R; Matthews, M E; Norback, J P

    1986-09-01

    Three scenarios, developed from typical situations in the foodservice, were stimulated on the Sperry 1100/80 computer to illustrate how the decision support system assisted dietitians. The scenarios included an analysis of price changes and discounts from a potential vendor; menu planning and pricing for a holiday dinner for 800 to 900 employees; and a comparison of costs between 1 day of meals for a patient on a general and a diabetic diet. In the analysis of price discounts, 1.5 hours were required for finding an acceptable solution using the decision support system. Prices were changed on 349 ingredients; then matrix multiplication within the decision support system resulted in recosting all menu items with those ingredients and provided new prices for cost per meals. Eight new ingredients, 13 menu items, and 2 menu plans for two different holiday meals were entered into the computer; precise amounts and prices for menu items and meals were obtained in 1 hour. Twelve hours was the minimum time estimated for finding a solution by hand calculations. Time to calculate costs of 27 different menu items for one patient day was estimated to be 9 hours manually. With the decision support system, cost comparisons were available in 1 hour. Both the usefulness and the potential of the decision support system were demonstrated.

  3. Graph-related optimization and decision support systems

    CERN Document Server

    Krichen, Saoussen

    2014-01-01

    Constrained optimization is a challenging branch of operations research that aims to create a model which has a wide range of applications in the supply chain, telecommunications and medical fields. As the problem structure is split into two main components, the objective is to accomplish the feasible set framed by the system constraints. The aim of this book is expose optimization problems that can be expressed as graphs, by detailing, for each studied problem, the set of nodes and the set of edges.  This graph modeling is an incentive for designing a platform that integrates all optimizatio

  4. Towards Conceptual Multidimensional Design in Decision Support Systems

    CERN Document Server

    Teste, Olivier

    2010-01-01

    Multidimensional databases support efficiently on-line analytical processing (OLAP). In this paper, we depict a model dedicated to multidimensional databases. The approach we present designs decisional information through a constellation of facts and dimensions. Each dimension is possibly shared between several facts and it is organised according to multiple hierarchies. In addition, we define a comprehensive query algebra regrouping the more popular multidimensional operations in current commercial systems and research approaches. We introduce new operators dedicated to a constellation. Finally, we describe a prototype that allows managers to query constellations of facts, dimensions and multiple hierarchies.

  5. GIS-based Decision Support System for Wood Logistics

    Institute of Scientific and Technical Information of China (English)

    Qiu Rongzu1; Esko Mikkonen

    2004-01-01

    A wood logistics system was combined with a linear programming (LP) method utilizing GIS-based techniques on the platform of GIS software-ARC/INFO. The combined costs of road and off-road transport were taken as the objective function to find the least cost route and the optimal landing locations of wood transportation. Then transport costs and allowable wood volume of stands were calculated. An LP model was developed to allocate timber resources among mills in order to minimize the wood logistics costs from harvesting sites to mills. The parameters of the LP model, including the transport costs, allowable wood volume and wood orders, were written into a text file in MPS format which were then accessed by LINDO to solve the LP problem. The system is an effective tool to manage logistics, information and funds together in order to increase the speed of wood logistics and reduce the cost. The benefits and efficiency of mill cluster can be improved. The focal firm in the cluster can be competitive.

  6. Designing an Information System for Decision Support Lending

    Directory of Open Access Journals (Sweden)

    Adrian LUPASC

    2017-04-01

    Full Text Available The successful development of financial and banking activities requires a strong information support to ensure the competitive edge over the other competitors on the market. The exponential growth in the volume of lending financial operations made the use of modern information technology in banking has become fundamental to improving lending activity. Thus, the design and use of a computer system adapted to specific requirements of bank lending will provide opportunities to diversify and modernize the procedures for granting, repayment and credit guarantee to correlate products offer credit demands and customer needs. In this regard, the related objectives of this work are oriented to emphasize the positive impact of the adoption of modern information technologies in decision making in the banking field. The proposed objectives are justified by presenting solutions support system of credit decision which aims to automate ongoing operations specific to a banking allowing bank clerks to process a large number of loan applications in a time very short and to the right decisions and substantiated.

  7. Cyborg practices: call-handlers and computerised decision support systems in urgent and emergency care.

    Science.gov (United States)

    Pope, Catherine; Halford, Susan; Turnbull, Joanne; Prichard, Jane

    2014-06-01

    This article draws on data collected during a 2-year project examining the deployment of a computerised decision support system. This computerised decision support system was designed to be used by non-clinical staff for dealing with calls to emergency (999) and urgent care (out-of-hours) services. One of the promises of computerised decisions support technologies is that they can 'hold' vast amounts of sophisticated clinical knowledge and combine it with decision algorithms to enable standardised decision-making by non-clinical (clerical) staff. This article draws on our ethnographic study of this computerised decision support system in use, and we use our analysis to question the 'automated' vision of decision-making in healthcare call-handling. We show that embodied and experiential (human) expertise remains central and highly salient in this work, and we propose that the deployment of the computerised decision support system creates something new, that this conjunction of computer and human creates a cyborg practice.

  8. A Placement Heuristic for a Commercial Decision Support System for Container Vessel Stowage

    DEFF Research Database (Denmark)

    Delgado-Ortegon, Alberto; Jensen, Rune Møller; Guilbert, Nicolas

    2013-01-01

    Decision support systems have become a viable approach to tackle complex optimization problems. The combination of experts' know-how and efficient optimization algorithms can dramatically improve solution quality and reduce work time. Some of these systems rely on continuous interaction with thei......Decision support systems have become a viable approach to tackle complex optimization problems. The combination of experts' know-how and efficient optimization algorithms can dramatically improve solution quality and reduce work time. Some of these systems rely on continuous interaction...... industry. Our experimental evaluation shows that the placement heuristic is fast enough for interactive optimization and produces solutions that are competitive with expert users....

  9. Methodical Approach to Developing a Decision Support System for Well Interventions Planning

    Science.gov (United States)

    Silich, V. A.; Savelev, A. O.; Isaev, A. N.

    2016-04-01

    The paper contains aspects of developing a decision support systems aimed for well interventions planning within the process of oil production engineering. The specific approach described by authors is based on system analysis methods and object model for system design. Declared number of problem-decision principles as follows: the principle of consolidated information area, the principle of integrated control, the principle of development process transparency. Also observed a set of models (class model, object model, attribute interdependence model, component model, coordination model) specified for designing decision support system for well intervention planning.

  10. Energy Signal Tool for Decision Support in Building Energy Systems

    Energy Technology Data Exchange (ETDEWEB)

    Henze, G. P.; Pavlak, G. S.; Florita, A. R.; Dodier, R. H.; Hirsch, A. I.

    2014-12-01

    A prototype energy signal tool is demonstrated for operational whole-building and system-level energy use evaluation. The purpose of the tool is to give a summary of building energy use which allows a building operator to quickly distinguish normal and abnormal energy use. Toward that end, energy use status is displayed as a traffic light, which is a visual metaphor for energy use that is either substantially different from expected (red and yellow lights) or approximately the same as expected (green light). Which light to display for a given energy end use is determined by comparing expected to actual energy use. As expected, energy use is necessarily uncertain; we cannot choose the appropriate light with certainty. Instead, the energy signal tool chooses the light by minimizing the expected cost of displaying the wrong light. The expected energy use is represented by a probability distribution. Energy use is modeled by a low-order lumped parameter model. Uncertainty in energy use is quantified by a Monte Carlo exploration of the influence of model parameters on energy use. Distributions over model parameters are updated over time via Bayes' theorem. The simulation study was devised to assess whole-building energy signal accuracy in the presence of uncertainty and faults at the submetered level, which may lead to tradeoffs at the whole-building level that are not detectable without submetering.

  11. Multi-Agent System for Decision Support in Enterprises

    Directory of Open Access Journals (Sweden)

    Dejan Lavbič

    2009-12-01

    Full Text Available Normal 0 21 false false false SL X-NONE X-NONE Business decisions must rely not only on organisation’s internal data but also on external data from competitors or relevant events. This information can be obtained from the Web but must be integrated with the data in an organisation’s Data Warehouse (DW. In this paper we discuss the agent-based integration approach using ontologies. To enable common understanding of a domain between people and application systems we introduce business rules approach towards ontology management. Because knowledge in organisation’s ontologies is acquired from business users without technical knowledge simple user interface based on ontology restrictions and predefined templates are used. After data from internal DW, Web and business rules are acquired; agent can deduce new knowledge and therefore facilitate decision making process. Tasks like information retrieval from competitors, creating and reviewing OLAP reports are autonomously performed by agents, while business users have control over their execution through knowledge base in ontology. The approach presented in the paper was verified on the case study from the domain of mobile communications with the emphasis on supply and demand of mobile phones and its accessories.

  12. Decision Support Systems for Research and Management in Advanced Life Support

    Science.gov (United States)

    Rodriquez, Luis F.

    2004-01-01

    Decision support systems have been implemented in many applications including strategic planning for battlefield scenarios, corporate decision making for business planning, production planning and control systems, and recommendation generators like those on Amazon.com(Registered TradeMark). Such tools are reviewed for developing a similar tool for NASA's ALS Program. DSS are considered concurrently with the development of the OPIS system, a database designed for chronicling of research and development in ALS. By utilizing the OPIS database, it is anticipated that decision support can be provided to increase the quality of decisions by ALS managers and researchers.

  13. COSIMA - A New Decision Support System for the Assessment of Large Transport Infrastructure Projects

    DEFF Research Database (Denmark)

    Salling, Kim Bang; Jensen, Anders Vestergaard; Holvad, Torben;

    2005-01-01

    This paper presents a new proto-type decision support system named COSIMA-DSS for composite method for assessment - decision support system. This userfriendly system makes it possible for decision makers to assess large infrastructure projects and take special account of various uncertainties...... in a systematic and explicit way. The model applied is based on cost-benefit analysis (CBA) embedded in a wider multi-criteria analysis (MCA) and makes use of scenario analysis (SA) and Monte Carlo simulation (MCS). A particular concern of the model is the handling of varying information across the assessment...... the features of the COSIMA-DSS model as a useful decision support tool. It is finally concluded that appraisal of large infrastructure projects can be effectively supported by dealing with uncertainty issues in accordance with the described principles....

  14. COSMO: a decision-support system for the central open space, the Netherlands

    NARCIS (Netherlands)

    Harms, W.B.; Knaapen, J.P.; Roos-Klein-Lankhorst sic, J.

    1995-01-01

    To evaluate scenarios for nature restoration, a landscape ecological decision-support system has been developed, a knowledge-based system integrated in a geographical information system. The grid-based application in the Central Open Space of the Netherlands (the COSMO model) is presented here. Four

  15. COSMO: a decision-support system for the central open space, the Netherlands

    NARCIS (Netherlands)

    Harms, W.B.; Knaapen, J.P.; Roos-Klein-Lankhorst sic, J.

    1995-01-01

    To evaluate scenarios for nature restoration, a landscape ecological decision-support system has been developed, a knowledge-based system integrated in a geographical information system. The grid-based application in the Central Open Space of the Netherlands (the COSMO model) is presented here. Four

  16. Pharmacists' awareness of clinical decision support in pharmacy information systems: an exploratory evaluation.

    Science.gov (United States)

    Hines, Lisa E; Saverno, Kim R; Warholak, Terri L; Taylor, Ann; Grizzle, Amy J; Murphy, John E; Malone, Daniel C

    2011-12-01

    Clinical decision support (CDS), such as drug-drug interaction (DDI) and drug-allergy checking, has been used in pharmacy information systems for several decades; however, there has been limited research on CDS use by practicing pharmacists. The purpose of this study was to document pharmacists' awareness of DDI and other medication-related CDS features available within pharmacy information systems. Researchers conducted on-site interviews with pharmacists throughout the state of Arizona from December 2008 to November 2009 regarding their pharmacy information systems features. Pharmacists were asked to provide information about DDI and other medication-related decision support features of the pharmacy software at their practice site. Descriptive statistics were used to summarize interview responses. Sixty-one pharmacists from a variety of practice settings completed the interview. All respondents indicated that their pharmacy system provided drug-allergy and DDI alerts. Approximately 60% of the pharmacists reported that their DDI decision support systems included recommendations for managing drug interactions. Two-thirds of respondents reported that their pharmacy's computer system permitted the addition of medications from other pharmacies and/or over-the-counter products to a patient's profile. Approximately 40% of the pharmacists reported that some drugs entered into the pharmacy computer system were not included in (or linked to) the electronic DDI checking. Most pharmacists indicated the presence of other medication-related decision support features, such as drug-disease (78%), drug-age precautions (67%), and inappropriate dosage alerts (79%). However, fewer pharmacists reported more advanced functionality, such as laboratory recommendations (34%) and pediatric dosing (39%). Overall, pharmacists' awareness regarding the many decision support functionalities of their systems was limited. Based on the study findings, it appears that there are a number of

  17. Designing a decision support system for distinguishing ADHD from similar children behavioral disorders.

    Science.gov (United States)

    Delavarian, Mona; Towhidkhah, Farzad; Dibajnia, Parvin; Gharibzadeh, Shahriar

    2012-06-01

    In this study, a decision support system was designed to distinguish children with ADHD from other similar children behavioral disorders such as depression, anxiety, comorbid depression and anxiety and conduct disorder based on the signs and symptoms. Accuracy of classifying with Radial basis function and multilayer neural networks were compared. Finally, the average accuracy of the networks in classification reached to 95.50% and 96.62% by multilayer and radial basis function networks respectively. Our results indicate that a decision support system, especially RBF, may be a good preliminary assistant for psychiatrists in diagnosing high risk behavioral disorders of children.

  18. 4D DATA FUSION TECHNIQUE IN URBAN WATERLOG-DRAINING DECISION SUPPORT SYSTEM

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    This paper studies urban waterlog-draining decision support system based on the 4D data fusion technique.4D data includes DEM,DOQ,DLG and DRG.It supplies entire databases for waterlog forecast and analysis together with non-spatial fundamental database.Data composition and reasoning are two key steps of 4D data fusion.Finally,this paper gives a real case: Ezhou Waterlog-Draining Decision Support System (EWDSS) with two application models,i.e.,DEM application model,water generating and draining model.

  19. Coordinated management of combined sewer overflows by means of advanced environmental decision support systems

    DEFF Research Database (Denmark)

    Murla, Damian; Gutierrez, Oriol; Martinez, Montse

    2016-01-01

    Highlights •A decision support system was developed for CSO minimization during wet weather. •The acquired expert knowledge was implemented in a set of 21 decision trees. •The operational intercomparison illustrated better results for the EDSS mode. •The expert quality evaluation exposed environm......Highlights •A decision support system was developed for CSO minimization during wet weather. •The acquired expert knowledge was implemented in a set of 21 decision trees. •The operational intercomparison illustrated better results for the EDSS mode. •The expert quality evaluation exposed...

  20. Decision Support System and Customer Relationship Management as Components of the Cybernetic System Enterprise

    Directory of Open Access Journals (Sweden)

    Ruxandra MISDOLEA

    2010-01-01

    Full Text Available This study analyzes the role played by the information system and its component, the software system, in a larger system - the Enterprise. In this context, the paper focuses on the structure of Decision Support System and Customer Relationship Management and their benefits in the functioning of the global system, by examining the conditions of implementation of these tools in the organization. We will show that used independently these tools offer reduced services, but when interconnected, they become a very powerful tool for command and control. Viability, evolution and autonomy requested by users for their information system are obtained more easily by a systemic-cybernetic approach to the Enterprise.

  1. A Placement Heuristic for a Commercial Decision Support System for Container Vessel Stowage

    DEFF Research Database (Denmark)

    Delgado-Ortegon, Alberto; Jensen, Rune Møller; Guilbert, Nicolas

    2013-01-01

    Decision support systems have become a viable approach to tackle complex optimization problems. The combination of experts' know-how and efficient optimization algorithms can dramatically improve solution quality and reduce work time. Some of these systems rely on continuous interaction with thei...

  2. THE OPTIMUM MODEL AND ITS DECISION SUPPORT SYSTEM OF COAL QUALITY BALANCE

    Institute of Scientific and Technical Information of China (English)

    孟祥瑞; 舒航

    1999-01-01

    The meaning and significance of coal quality balance are summarized in this paper. Practical steps concerning constructing the synthetic tech-economic model and its decision support system of coal quality balance using the optimization technology of inverse recurrence of established initializing parameters are also introduced. The principles and methods as being applied in the model system development and procedure construction are discussed accordingly.

  3. Adoption of Web-based Group Decision Support Systems: Conditions for Growth

    NARCIS (Netherlands)

    Hillegersberg, van Jos; Koenen, Sebastiaan

    2014-01-01

    While organizations have massively adopted enterprise information systems to support business processes, business meetings in which key decisions are made about products, services and processes are usually held without much support of information systems. This is remarkable as group decision support

  4. Vagueness of concepts: an issue in knowledge-based decision support systems for design?

    DEFF Research Database (Denmark)

    Galle, Per

    1998-01-01

    Many of our everyday concepts are vague. It is next to impossible, for example, to state necessary and sufficient conditions for something to be a chair, or a building. This would appear to pose a potential problem for the construction of knowledge-based decision-support systems; notably systems ...

  5. How Feedback Can Improve Managerial Evaluations of Model-based Marketing Decision Support Systems

    NARCIS (Netherlands)

    U. Kayande (Ujwal); A. de Bruyn (Arnoud); G.L. Lilien (Gary); A. Rangaswamy (Arvind); G.H. van Bruggen (Gerrit)

    2006-01-01

    textabstractMarketing managers often provide much poorer evaluations of model-based marketing decision support systems (MDSSs) than are warranted by the objective performance of those systems. We show that a reason for this discrepant evaluation may be that MDSSs are often not designed to help users

  6. How Feedback Can Improve Managerial Evaluations of Model-based Marketing Decision Support Systems

    NARCIS (Netherlands)

    U. Kayande (Ujwal); A. de Bruyn (Arnoud); G.L. Lilien (Gary); A. Rangaswamy (Arvind); G.H. van Bruggen (Gerrit)

    2006-01-01

    textabstractMarketing managers often provide much poorer evaluations of model-based marketing decision support systems (MDSSs) than are warranted by the objective performance of those systems. We show that a reason for this discrepant evaluation may be that MDSSs are often not designed to help users

  7. Implementing an integrative multi-agent clinical decision support system with open source software.

    Science.gov (United States)

    Sayyad Shirabad, Jelber; Wilk, Szymon; Michalowski, Wojtek; Farion, Ken

    2012-02-01

    Clinical decision making is a complex multi-stage process. Decision support can play an important role at each stage of this process. At present, the majority of clinical decision support systems have been focused on supporting only certain stages. In this paper we present the design and implementation of MET3-a prototype multi-agent system providing an integrative decision support that spans over the entire decision making process. The system helps physicians with data collection, diagnosis formulation, treatment planning and finding supporting evidence. MET3 integrates with external hospital information systems via HL7 messages and runs on various computing platforms available at the point of care (e.g., tablet computers, mobile phones). Building MET3 required sophisticated and reliable software technologies. In the past decade the open source software movement has produced mature, stable, industrial strength software systems with a large user base. Therefore, one of the decisions that should be considered before developing or acquiring a decision support system is whether or not one could use open source technologies instead of proprietary ones. We believe MET3 shows that the answer to this question is positive.

  8. Design Features behind Success of the Ecosystem Management Decision Support System and Future Development

    Directory of Open Access Journals (Sweden)

    Keith Reynolds

    2014-12-01

    Full Text Available The Ecosystem Management Decision Support (EMDS system is an application framework for designing and implementing spatially enabled knowledge-based decision support systems for environmental analysis and planning at any geographic scale(s. The system integrates state-of-the-art geographic information system, as well as knowledge-based reasoning and decision modeling, technologies to provide decision support for the adaptive management process of ecosystem management. It integrates a logic engine to perform landscape evaluations, and a decision engine for developing management priorities. The logic component: (1 reasons about large, abstract, multi-faceted ecosystem management problems; (2 performs useful evaluations with incomplete information; (3 evaluates the influence of missing information, and (4 determines priorities for missing information. The planning component determines priorities for management activities, taking into account not only ecosystem condition, but also criteria that account for logistical concerns of potential management actions. Both components include intuitive diagnostic features that facilitate communicating modeling results to a broad audience. Features of the system design that have figured in its success over the past 20 years are highlighted, together with design features planned for the next several versions needed to provide spatial decision support for adaptive management under climate change.

  9. Lifting Off of the Digital Plateau with Military Decision Support Systems

    Science.gov (United States)

    2013-05-23

    whether to commit a reserve element. It is more appropriate to problems such as “diagnosing disease , handling online technical support questions, and...Review Report. Washington, DC: Government Printing Office, 2006. Drudzel, Marek J., and Roger R. Flynn. “Decision Support Systems.” Edited by Allen Kent

  10. Decision support system emergency planning, creating evacuation strategies in the event of flooding

    NARCIS (Netherlands)

    Windhouwer, C.J.; Klunder, G.A.; Sanders, F.M.

    2005-01-01

    The Decision Support System (DSS) Emergency Planning is designed for use in the event of sea or river flooding. It makes accessible all the information related to the decision whether to evacuate an area. An important factor in this decision is the time required for the evacuation. The model used by

  11. A two-step approach to propagate rating curve uncertainty in Elbe decision support system

    NARCIS (Netherlands)

    Xu, Yueping; Holzhauer, Harriette; Booij, Martijn J.; Jun, B.H.; Lee, S-I.; Seo, I.W.; Choi, G-W.

    2005-01-01

    The relationships between water level and discharge along the river channel are vital for decision support systems in river basin management. Normally the reliability of the so-called rating curves along the river channel depends greatly on the accuracy and duration of the measured discharge and wat

  12. Factors Predicting Oncology Care Providers' Behavioral Intention to Adopt Clinical Decision Support Systems

    Science.gov (United States)

    Wolfenden, Andrew

    2012-01-01

    The purpose of this quantitative correlation study was to examine the predictors of user behavioral intention on the decision of oncology care providers to adopt or reject the clinical decision support system. The Unified Theory of Acceptance and Use of Technology (UTAUT) formed the foundation of the research model and survey instrument. The…

  13. Designing strategies to control grey mould in strawberry cultivation using decision support systems

    NARCIS (Netherlands)

    Evenhuis, A.; Wilms, J.A.M.

    2009-01-01

    Grey mould is one of the major diseases in strawberry cultivation. Fungicides to control Botrytis cinerea are applied frequently during flowering and sometimes at harvest. Reduction of pesticide use is one of the major aims of the Dutch government. Implementation of a Decision Support System (DSS) h

  14. Decision support for mastitis on farms with an automatic milking system

    NARCIS (Netherlands)

    Steeneveld, W.

    2010-01-01

    For an optimal mastitis management on farms with an automatic milking system (AMS), two individual cow decisions are important. First, there is a need for decision support on which mastitis alerts have the highest priority for visual checking for clinical mastitis (CM). In essence, all cows with

  15. Factors Predicting Oncology Care Providers' Behavioral Intention to Adopt Clinical Decision Support Systems

    Science.gov (United States)

    Wolfenden, Andrew

    2012-01-01

    The purpose of this quantitative correlation study was to examine the predictors of user behavioral intention on the decision of oncology care providers to adopt or reject the clinical decision support system. The Unified Theory of Acceptance and Use of Technology (UTAUT) formed the foundation of the research model and survey instrument. The…

  16. Development of decision support systems for the admission of pesticides: definition report

    NARCIS (Netherlands)

    Linden AMA van der; Douven WJAM; Herrchen M; Ferioli A; Hoogenboom FGG; LBG; VUA; FHG; ISPS

    1994-01-01

    Dit rapport beschrijft de definitie van het project 'Development of decision support systems for the admission of pesticides', zoals dat wordt uitgevoerd met de "Environment Research Programm (1990 - 1994) van de Europese Unie, als sponsor, onder contract nummer EV5V-CT92-0217. De

  17. Strengthening Resiliency in Coastal Watersheds: An Ecosystem Services and Ecological Integrity Decision Support System

    Science.gov (United States)

    This product provides an integrated assessment framework linked to a decision support system (DSS) that incorporates the ecological integrity (EI) principles and goals described in detail in the US EPA’s Office of Water’s Healthy Watersheds Program (HWP), with Ecosyst...

  18. Towards fault-tolerant decision support systems for ship operator guidance

    DEFF Research Database (Denmark)

    Nielsen, Ulrik Dam; Lajic, Zoran; Jensen, Jørgen Juncher

    2012-01-01

    Fault detection and isolation are very important elements in the design of fault-tolerant decision support systems for ship operator guidance. This study outlines remedies that can be applied for fault diagnosis, when the ship responses are assumed to be linear in the wave excitation. A novel...

  19. Improving ingestion dose modelling for the ARGOS and RODOS decision support systems: A Nordic Initiative

    DEFF Research Database (Denmark)

    Andersson, Kasper Grann; Nielsen, Sven Poul; Thørring, Håvard

    2011-01-01

    A Nordic work group under the NKS-B activity PARDNOR has revised the input parameters in the ECOSYS model that is incorporated for ingestion dose modelling in the ARGOS and RODOS decision support systems. The new parameterisation takes into account recent measurement data, and targets the model...

  20. A quality-of-data aware mobile decision support system for patients with chronic illnesses

    NARCIS (Netherlands)

    Larburu Rubio, Nekane; van Schooten, B.W.; Shalom, Erez; Fung, L.S.N.; van Sinderen, Marten J.; Hermens, Hermanus J.; Jones, Valerie M.; Riano, David; Lenz, Richard; Miksch, Silvia; Peleg, Mor; Reichert, M.U.; ten Teije, Annette

    2015-01-01

    We present a mobile decision support system (mDSS) which runs on a patient Body Area Network consisting of a smartphone and a set of biosensors. Quality-of-Data (QoD) awareness in decision making is achieved by means of a component known as the Quality-of-Data Broker, which also runs on the

  1. Afforest sDSS: a metamodel based spatial decision support system for afforestation of agricultural land

    NARCIS (Netherlands)

    Gilliams, S.; Orshoven, van J.; Muys, B.; Kros, J.; Heil, G.W.; Deursen, van W.

    2005-01-01

    The concept and structure of the Spatial Decision Support System AFFOREST sDSS dealing with environmental performance (EP) of afforestation on agricultural land in northwestern Europe, is presented. EP is defined in terms of three environmental impact categories: (1) carbon sequestration (2) groundw

  2. Towards a decision support system for control of multiple food safety hazards in raw milk production

    NARCIS (Netherlands)

    Spiegel, van der M.; Sterrenburg, P.; Haasnoot, W.; Fels-Klerx, van der H.J.

    2013-01-01

    Decision support systems (DSS) for controlling multiple food safety hazards in raw milk production have not yet been developed, but the underlying components are fragmentarily available. This article presents the state-of-the-art of essential DSS elements for judging food safety compliance of raw mi

  3. Computer-aided decision support systems for endoscopy in the gastrointestinal tract: a review.

    Science.gov (United States)

    Liedlgruber, Michael; Uhl, Andreas

    2011-01-01

    Today, medical endoscopy is a widely used procedure to inspect the inner cavities of the human body. The advent of endoscopic imaging techniques-allowing the acquisition of images or videos-created the possibility for the development of the whole new branch of computer-aided decision support systems. Such systems aim at helping physicians to identify possibly malignant abnormalities more accurately. At the beginning of this paper, we give a brief introduction to the history of endoscopy, followed by introducing the main types of endoscopes which emerged so far (flexible endoscope, wireless capsule endoscope, and confocal laser endomicroscope). We then give a brief introduction to computer-aided decision support systems specifically targeted at endoscopy in the gastrointestinal tract. Then we present general facts and figures concerning computer-aided decision support systems and summarize work specifically targeted at computer-aided decision support in the gastrointestinal tract. This summary is followed by a discussion of some common issues concerning the approaches reviewed and suggestions of possible ways to resolve them.

  4. Development of a Decision Support System to Predict Physicians' Rehabilitation Protocols for Patients with Knee Osteoarthritis

    Science.gov (United States)

    Hawamdeh, Ziad M.; Alshraideh, Mohammad A.; Al-Ajlouni, Jihad M.; Salah, Imad K.; Holm, Margo B.; Otom, Ali H.

    2012-01-01

    To design a medical decision support system (MDSS) that would accurately predict the rehabilitation protocols prescribed by the physicians for patients with knee osteoarthritis (OA) using only their demographic and clinical characteristics. The demographic and clinical variables for 170 patients receiving one of three treatment protocols for knee…

  5. A Data Analytical Framework for Improving Real-Time, Decision Support Systems in Healthcare

    Science.gov (United States)

    Yahav, Inbal

    2010-01-01

    In this dissertation we develop a framework that combines data mining, statistics and operations research methods for improving real-time decision support systems in healthcare. Our approach consists of three main concepts: data gathering and preprocessing, modeling, and deployment. We introduce the notion of offline and semi-offline modeling to…

  6. A quality-of-data aware mobile decision support system for patients with chronic illnesses

    NARCIS (Netherlands)

    Larburu, Nekane; Schooten, van Boris; Shalom, Erez; Fung, Nick; Sinderen, van Marten; Hermens, Hermie; Jones, Val; Riano, David; Lenz, Richard; Miksch, Silvia; Peleg, Mor; Reichert, Manfred; Teije, ten Annette

    2015-01-01

    We present a mobile decision support system (mDSS) which runs on a patient Body Area Network consisting of a smartphone and a set of biosensors. Quality-of-Data (QoD) awareness in decision making is achieved by means of a component known as the Quality-of-Data Broker, which also runs on the smartpho

  7. Integration and transformation of rural service delivery: The role of management information and decision support systems

    CSIR Research Space (South Africa)

    Mashiri, M

    2005-01-01

    Full Text Available The paper deals with two main themes: 1) the integration and transformation of rural service delivery; and 2) role of management information and decision support systems in this process. Referring specifically to the types of rural areas, conditions...

  8. Using Group Decision Support Systems in Teaching the Small Group Communication Course.

    Science.gov (United States)

    Scott, Craig R.

    The nature of group decision support systems (GDSS), its key advantages, and the experience of using it with several classes help illustrate that this type of computer technology can serve an important function in supplementing instruction of the small group course. The primary purpose of a GDSS is to improve group decision-making and…

  9. Development of decision support systems for the admission of pesticides: definition report

    NARCIS (Netherlands)

    Linden AMA van der; Douven WJAM; Herrchen M; Ferioli A; Hoogenboom FGG; LBG; VUA; FHG; ISPS

    1994-01-01

    Dit rapport beschrijft de definitie van het project 'Development of decision support systems for the admission of pesticides', zoals dat wordt uitgevoerd met de "Environment Research Programm (1990 - 1994) van de Europese Unie, als sponsor, onder contract nummer EV5V-CT92-0217. De

  10. A Framework of the Decision Support System (DSS) for Higher Education Appropriate Scale

    Institute of Scientific and Technical Information of China (English)

    ZHAI Li-li; GAO Chang-yuan; HAO Hong-jun

    2002-01-01

    According to the relation of the developing speed and scale of higher education and those of national economy, the establishing method and structure of higher education appropriate scale DSS (HEASDSS) are researched applying to educational economic principle and decision support system theory.

  11. WAR DSS: A DECISION SUPPORT SYSTEM FOR ENVIRONMENTALLY CONSCIOUS CHEMICAL PROCESS DESIGN

    Science.gov (United States)

    The second generation of the Waste Reduction (WAR) Algorithm is constructed as a decision support system (DSS) in the design of chemical manufacturing facilities. The WAR DSS is a software tool that can help reduce the potential environmental impacts (PEIs) of industrial chemical...

  12. Revisiting Decision Support Systems for Cognitive Readiness : A Contribution to Unstructured and Complex Scheduling Situations

    NARCIS (Netherlands)

    Cegarra, J.; van Wezel, Wouter

    2012-01-01

    In this article, the authors focus on scheduling situations. Because of their unstructured nature and hard combinatorial complexity, scheduling situations have always been a predominant application area for decision support systems (DSSes). After setting out the generic characteristics of a DSS, the

  13. A Prototype Graphical User Interface for Co-op: A Group Decision Support System.

    Science.gov (United States)

    1992-03-01

    Decision Support System by P. Steven Posey Lieutenant, United States Navy B.S., University of Arkansas, 1985 Submitted in partial fulfillment of the...Design..................16 a. Color....................17 iv b. Screen Layout .... ............. .. 18 c. Typography ..... ............... .. 19 C. GUI...achieve their potential to communicate. Information-oriented, systematic graphic design is the use of typography , symbols, color, and other static and

  14. Parametric improvement for the ingestion dose module of the European ARGOS and RODOS decision support systems

    DEFF Research Database (Denmark)

    Andersson, Kasper Grann; Nielsen, Sven Poul; Thørring, H.

    2011-01-01

    The European decision support systems ARGOS and RODOS rely on the ECOSYS model for prognoses of ingestion doses. ECOSYS needs an update of various parameter values to provide reliable estimates. This paper reports on some results of a Nordic initiative to derive parameter values that are specific...

  15. A Data Analytical Framework for Improving Real-Time, Decision Support Systems in Healthcare

    Science.gov (United States)

    Yahav, Inbal

    2010-01-01

    In this dissertation we develop a framework that combines data mining, statistics and operations research methods for improving real-time decision support systems in healthcare. Our approach consists of three main concepts: data gathering and preprocessing, modeling, and deployment. We introduce the notion of offline and semi-offline modeling to…

  16. Intelligent Model Management in a Forest Ecosystem Management Decision Support System

    Science.gov (United States)

    Donald Nute; Walter D. Potter; Frederick Maier; Jin Wang; Mark Twery; H. Michael Rauscher; Peter Knopp; Scott Thomasma; Mayukh Dass; Hajime Uchiyama

    2002-01-01

    Decision making for forest ecosystem management can include the use of a wide variety of modeling tools. These tools include vegetation growth models, wildlife models, silvicultural models, GIS, and visualization tools. NED-2 is a robust, intelligent, goal-driven decision support system that integrates tools in each of these categories. NED-2 uses a blackboard...

  17. Uncertainty management, spatial and temporal reasoning, and validation of intelligent environmental decision support systems

    Science.gov (United States)

    Sànchez-Marrè, Miquel; Gilbert, Karina; Sojda, Rick S.; Steyer, Jean Philippe; Struss, Peter; Rodríguez-Roda, Ignasi; Voinov, A.A.; Jakeman, A.J.; Rizzoli, A.E.

    2006-01-01

    There are inherent open problems arising when developing and running Intelligent Environmental Decision Support Systems (IEDSS). During daily operation of IEDSS several open challenge problems appear. The uncertainty of data being processed is intrinsic to the environmental system, which is being monitored by several on-line sensors and off-line data. Thus, anomalous data values at data gathering level or even uncertain reasoning process at later levels such as in diagnosis or decision support or planning can lead the environmental process to unsafe critical operation states. At diagnosis level or even at decision support level or planning level, spatial reasoning or temporal reasoning or both aspects can influence the reasoning processes undertaken by the IEDSS. Most of Environmental systems must take into account the spatial relationships between the environmental goal area and the nearby environmental areas and the temporal relationships between the current state and the past states of the environmental system to state accurate and reliable assertions to be used within the diagnosis process or decision support process or planning process. Finally, a related issue is a crucial point: are really reliable and safe the decisions proposed by the IEDSS? Are we sure about the goodness and performance of proposed solutions? How can we ensure a correct evaluation of the IEDSS? Main goal of this paper is to analyse these four issues, review some possible approaches and techniques to cope with them, and study new trends for future research within the IEDSS field.

  18. Usability of clinical decision support system as a facilitator for learning the assistive technology adaptation process.

    Science.gov (United States)

    Danial-Saad, Alexandra; Kuflik, Tsvi; Weiss, Patrice L Tamar; Schreuer, Naomi

    2016-01-01

    The aim of this study was to evaluate the usability of Ontology Supported Computerized Assistive Technology Recommender (OSCAR), a Clinical Decision Support System (CDSS) for the assistive technology adaptation process, its impact on learning the matching process, and to determine the relationship between its usability and learnability. Two groups of expert and novice clinicians (total, n = 26) took part in this study. Each group filled out system usability scale (SUS) to evaluate OSCAR's usability. The novice group completed a learning questionnaire to assess OSCAR's effect on their ability to learn the matching process. Both groups rated OSCAR's usability as "very good", (M [SUS] = 80.7, SD = 11.6, median = 83.7) by the novices, and (M [SUS] = 81.2, SD = 6.8, median = 81.2) by the experts. The Mann-Whitney results indicated that no significant differences were found between the expert and novice groups in terms of OSCAR's usability. A significant positive correlation existed between the usability of OSCAR and the ability to learn the adaptation process (rs = 0.46, p = 0.04). Usability is an important factor in the acceptance of a system. The successful application of user-centered design principles during the development of OSCAR may serve as a case study that models the significant elements to be considered, theoretically and practically in developing other systems. Implications for Rehabilitation Creating a CDSS with a focus on its usability is an important factor for its acceptance by its users. Successful usability outcomes can impact the learning process of the subject matter in general, and the AT prescription process in particular. The successful application of User-Centered Design principles during the development of OSCAR may serve as a case study that models the significant elements to be considered, theoretically and practically. The study emphasizes the importance of close collaboration between the developers and

  19. Systems Analysis and Design for Decision Support Systems on Economic Feasibility of Projects

    Science.gov (United States)

    Balaji, S. Arun

    2010-11-01

    This paper discuss about need for development of the Decision Support System (DSS) software for economic feasibility of projects in Rwanda, Africa. The various economic theories needed and the corresponding formulae to compute payback period, internal rate of return and benefit cost ratio of projects are clearly given in this paper. This paper is also deals with the systems flow chart to fabricate the system in any higher level computing language. The various input requirements from the projects and the output needed for the decision makers are also included in this paper. The data dictionary used for input and output data structure is also explained.

  20. An Environment for Guideline-based Decision Support Systems for Outpatients Monitoring.

    Science.gov (United States)

    Zini, Elisa M; Lanzola, Giordano; Bossi, Paolo; Quaglini, Silvana

    2017-08-11

    We propose an architecture for monitoring outpatients that relies on mobile technologies for acquiring data. The goal is to better control the onset of possible side effects between the scheduled visits at the clinic. We analyze the architectural components required to ensure a high level of abstraction from data. Clinical practice guidelines were formalized with Alium, an authoring tool based on the PROforma language, using SNOMED-CT as a terminology standard. The Alium engine is accessible through a set of APIs that may be leveraged for implementing an application based on standard web technologies to be used by doctors at the clinic. Data sent by patients using mobile devices need to be complemented with those already available in the Electronic Health Record to generate personalized recommendations. Thus a middleware pursuing data abstraction is required. To comply with current standards, we adopted the HL7 Virtual Medical Record for Clinical Decision Support Logical Model, Release 2. The developed architecture for monitoring outpatients includes: (1) a guideline-based Decision Support System accessible through a web application that helps the doctors with prevention, diagnosis and treatment of therapy side effects; (2) an application for mobile devices, which allows patients to regularly send data to the clinic. In order to tailor the monitoring procedures to the specific patient, the Decision Support System also helps physicians with the configuration of the mobile application, suggesting the data to be collected and the associated collection frequency that may change over time, according to the individual patient's conditions. A proof of concept has been developed with a system for monitoring the side effects of chemo-radiotherapy in head and neck cancer patients. Our environment introduces two main innovation elements with respect to similar works available in the literature. First, in order to meet the specific patients' needs, in our work the Decision

  1. Design and Development of Decision Support System for Equipping Farm Machines

    Directory of Open Access Journals (Sweden)

    Ying Wang

    2014-06-01

    Full Text Available Equipping farm machines is the key link of agricultural production process. The decision support system of equipping farm machines is able to aid managers to make scientific and effective decision. In this paper, the decision support system of equipping farm machines is designed and developed based on the related theories and the thought of prototype. The system chooses Delphi 7.0 as development language, and uses three classic equipping methods to establish system models. For the complex linear programming model, firstly it is established by M-file of Matlab, then COM components are generated; finally Delphi calls the COM components to solve. The database of the system is established and managed by SQL Server 2005. It can be seen from the result of the system application study that the system could assist users to equip farm machines more scientifically and dynamically

  2. A Decision Support System for Evaluatingquality Safety Risk Contaminated By Water Pollution in Aquaculture Pond

    Science.gov (United States)

    Tian, Dong; Li, Nan; Huang, Honghui; Fu, Zetian; Zhang, Xiaoshuan

    Water pollution is becoming the major factor damaging the sustainable development of aquaculture and the quality security of aquatic product in China. This paper introduces a decision support system for evaluating and managing quality risk contaminated by water pollution. The architecture, main components and their functions, especially a series of risk evaluation methods and models are described. At present, the system is in pilot in the city of Beijing in China. The stage achievements in developing the system are summarized.

  3. Decision Support System Knowledge Capture and Sharing for Telecom Network Management

    OpenAIRE

    Lorenzo Espinar, Berta

    2014-01-01

    This thesis work presents analysis and processing of the data from a European Distribution System Operator (DSO) in order to develop a decision support system which could help field technicians during the maintenance and operation of the electricity network. The proposed system is based on an artificial intelligence method called Case-Based Reasoning (CBR) which uses previous experiences to solve a new problem case. The four steps in this algorithm are: retrieval, reuse, revise and retain. ...

  4. TECHNICAL ANALYSIS OF FUZZY METAGRAPH BASED DECISION SUPPORT SYSTEM FOR CAPITAL MARKET

    OpenAIRE

    Anbalagan Thirunavukarasu; Uma Maheswari

    2013-01-01

    This study proposes a Fuzzy Metagraph based Decision Support System (DSS) for short term and long term investment in share market. This rule base decision system will help traders to make correct decision at very low risk. Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD) and WILLIAM- %R are some of the Technical Indicators which are used as input to train the system which is integrated with Fuzzy Metagraph. This approach of incorporating Fuzzy Metagraph with RSI, MA...

  5. GIS-based spatial decision support system for grain logistics management

    Science.gov (United States)

    Zhen, Tong; Ge, Hongyi; Jiang, Yuying; Che, Yi

    2010-07-01

    Grain logistics is the important component of the social logistics, which can be attributed to frequent circulation and the great quantity. At present time, there is no modern grain logistics distribution management system, and the logistics cost is the high. Geographic Information Systems (GIS) have been widely used for spatial data manipulation and model operations and provide effective decision support through its spatial database management capabilities and cartographic visualization. In the present paper, a spatial decision support system (SDSS) is proposed to support policy makers and to reduce the cost of grain logistics. The system is composed of two major components: grain logistics goods tracking model and vehicle routing problem optimization model and also allows incorporation of data coming from external sources. The proposed system is an effective tool to manage grain logistics in order to increase the speed of grain logistics and reduce the grain circulation cost.

  6. Intelligent Case Based Decision Support System for Online Diagnosis of Automated Production System

    Science.gov (United States)

    Ben Rabah, N.; Saddem, R.; Ben Hmida, F.; Carre-Menetrier, V.; Tagina, M.

    2017-01-01

    Diagnosis of Automated Production System (APS) is a decision-making process designed to detect, locate and identify a particular failure caused by the control law. In the literature, there are three major types of reasoning for industrial diagnosis: the first is model-based, the second is rule-based and the third is case-based. The common and major limitation of the first and the second reasonings is that they do not have automated learning ability. This paper presents an interactive and effective Case Based Decision Support System for online Diagnosis (CB-DSSD) of an APS. It offers a synergy between the Case Based Reasoning (CBR) and the Decision Support System (DSS) in order to support and assist Human Operator of Supervision (HOS) in his/her decision process. Indeed, the experimental evaluation performed on an Interactive Training System for PLC (ITS PLC) that allows the control of a Programmable Logic Controller (PLC), simulating sensors or/and actuators failures and validating the control algorithm through a real time interactive experience, showed the efficiency of our approach.

  7. Multi-site evaluation of a clinical decision support system for radiation therapy

    Science.gov (United States)

    Deshpande, Ruchi; DeMarco, John; Kessel, Kerstin; Liu, Brent J.

    2016-03-01

    We have developed an imaging informatics based decision support system that learns from retrospective treatment plans to provide recommendations for healthy tissue sparing to prospective incoming patients. This system incorporates a model of best practices from previous cases, specific to tumor anatomy. Ultimately, our hope is to improve clinical workflow efficiency, patient outcomes and to increase clinician confidence in decision-making. The success of such a system depends greatly on the training dataset, which in this case, is the knowledge base that the data-mining algorithm employs. The size and heterogeneity of the database is essential for good performance. Since most institutions employ standard protocols and practices for treatment planning, the diversity of this database can be greatly increased by including data from different institutions. This work presents the results of incorporating cross-country, multi-institutional data into our decision support system for evaluation and testing.

  8. Decision support in hierarchical planning systems: The case of procurement planning in oil refining industries

    DEFF Research Database (Denmark)

    Kallestrup, Kasper Bislev; Lynge, Lasse Hadberg; Akkerman, Renzo;

    2014-01-01

    In this paper, we discuss the development of decision support systems for hierarchically structured planning approaches, such as commercially available advanced planning systems. We develop a framework to show how such a decision support system can be designed with the existing organization in mind......, and how a decision process and corresponding software can be developed from this basis. Building on well-known hierarchical planning concepts, we include the typical anticipation mechanisms used in such systems to be able to decompose planning problems, both from the perspective of the planning problem...... and from the perspective of the organizational aspects involved. To exemplify and develop our framework, we use a case study of crude oil procurement planning in the refining industry. The results of the case study indicate an improved organizational embedding of the DSS, leading to significant savings...

  9. Development and application of the decision support system for municipal solid waste management in central Taiwan.

    Science.gov (United States)

    Chang, Yao-Jen; Lin, Min-Der

    2013-05-01

    Municipal solid waste management (MSWM) is an important, practical and challenging environmental subject. The processes of a MSWM system include household collection, transportation, treatment, material recycling, compost and disposal. A regional program of MSWM is more complicated owing to the involvement of multi-municipality and multi-facility issues. Therefore, an effective decision support system capable of solving regional MSWM problems is necessary for decision-makers. This article employs linear programming techniques to establish a MSWM decision support system (MSWM-DSS) that is able to determine the least costs of regional MSWM strategies. The results of investigating a real-world case in central Taiwan indicate that a regional program is more economical and efficient. For the redeployment of MSW streams, the relatively least cost of operation for the MSWM system can still be achieved through the re-estimation of the MSWM-DSS. This tool and results are useful for MSWM policy-making in central Taiwan.

  10. Building a normative decision support system for clinical and operational risk management in hemodialysis.

    Science.gov (United States)

    Cornalba, Chiara; Bellazzi, Roberto G; Bellazzi, Riccardo

    2008-09-01

    This paper describes the design and implementation of a decision support system for risk management in hemodialysis (HD) departments. The proposed system exploits a domain ontology to formalize the problem as a Bayesian network. It also relies on a software tool, able to automatically collect HD data, to learn the network conditional probabilities. By merging prior knowledge and the available data, the system allows to estimate risk profiles both for patients and HD departments. The risk management process is completed by an influence diagram that enables scenario analysis to choose the optimal decisions that mitigate a patient's risk. The methods and design of the decision support tool are described in detail, and the derived decision model is presented. Examples and case studies are also shown. The tool is one of the few examples of normative system explicitly conceived to manage operational and clinical risks in health care environments.

  11. A web-based decision support system for slopeland hazard warning.

    Science.gov (United States)

    Yu, Fan-Chieh; Chen, Chien-Yuan; Lin, Sheng-Chi; Lin, Yu-Ching; Wu, Shang-Yu; Cheung, Kei-Wai

    2007-04-01

    A WebGIS decision support system for slopeland hazard warning based on real-time monitored rainfall is introduced herein. This paper presents its framework, database, processes of setting up the threshold line for debris flow triggering and the calculation algorithm implemented in the system. The web-based GIS via the Microsoft Internet Explorer is designed for analysis of areas prone to debris flows outburst and landslides during torrential rain. Its function is to provide suggestions to commander for immediate response to the possibility of slopeland hazards, and determine if pre-evacuation is necessary. The defining characteristics of the internet-based decision support system is not to automatically show the dangerous areas but acts as part of the decision process via information collection to help experts judge the prone debris flow creeks and the tendency of landslides initiation. The combination with real-time rainfall estimation by the QPESUMS radar system is suggested for further enhancement.

  12. Design of multilevel flow modelling-based decision support system by using multiagent platform

    DEFF Research Database (Denmark)

    Zhang, Xinxin; Lind, Morten; Ravn, Ole

    2015-01-01

    For complex engineering systems, there is an increasing demand forsafety and reliability. Decision support system (DSS) is designed to offersupervision and analysis about operational situations. A proper modelrepresentation is required for DSS to understand the process knowledge.Multilevel flow m...... available techniques of MFM reasoning and less matureyet relevant MFM concepts are considered. It also offers an architecture designof task organisation for MFM software tools by using the concept of agent andtechnology of multiagent software system......For complex engineering systems, there is an increasing demand forsafety and reliability. Decision support system (DSS) is designed to offersupervision and analysis about operational situations. A proper modelrepresentation is required for DSS to understand the process knowledge.Multilevel flow...... modelling (MFM) represents complex system in multiplelevels of means-end and part-whole decompositions, which is proposed in thispaper as basis for developing decision support systems. The aim of this paper isto explore the different possible functionalities by applying MFM to DSS,where both currently...

  13. Corruption Early Prevention: Decision Support System for President of the Republic of Indonesia

    Science.gov (United States)

    Sasmoko; Widhoyoko, S. A.; Ariyanto, S.; Indrianti, Y.; Noerlina; Muqsith, A. M.; Alamsyah, M.

    2017-01-01

    Corruption is an extraordinary crime, and then the prevention must also be extraordinary, simultaneously (national) in the form of early warning that involves all elements; government, industry, and society. To realize it the system needs to be built which in this study is called the Corruption Early Prevention (CEP) as a Decision Support System for President of the Republic of Indonesia. This study aims to examine 1) how is the construct of the Corruption Early Prevention as a Decision Support System for President of the Republic of Indonesia?, and 2) how is the design form of the system of Corruption Early Prevention as a Decision Support System for President of Republic of Indonesia? The research method is using Neuro-Research which is the collaboration of qualitative and quantitative research methods and the model development of Information Technology (IT). The research found that: 1) the construct of CEP is theoretically feasible, valid and reliable by content to be developed in the context of the prevention of corruption in Indonesia as an early prevention system that diagnoses Indonesia simultaneously and in real time, and 2) the concept of system design and business process of CEP is predicted to be realized in the IT-based program.

  14. Decision Support System to Choose Digital Single Lens Camera with Simple Additive Weighting Method

    Directory of Open Access Journals (Sweden)

    Tri Pina Putri

    2016-11-01

    Full Text Available One of the technologies that evolve today is Digital Single Lens Reflex (DSLR camera. The number of products makes users have difficulties to choose the appropriate camera based on their criteria. Users may utilize several ways to help them choosing the intended camera such as using magazine, internet, and other media. This paper discusses about a web based decision support system to choose cameras by using SAW (Simple Additive Weighting method in order to make the decision process more effective and efficient. This system is expected to give recommendations about the camera which is appropriate with the user’s need and criteria based on the cost, the resolution, the feature, the ISO, and the censor. The system was implemented by using PHP and MySQL. Based on the result of questionnaire distributed to 20 respondents, 60% respondents agree that this decision support system can help users to choose the appropriate camera DSLR in accordance with the user’s need, 60% of respondents agree that this decision support system is more effective to choose DSLR camera and 75% of respondents agree that this system is more efficient. In addition, 60.55% of respondents agree that this system has met 5 Es Usability Framework.

  15. Decision Support System to Choose Digital Single Lens Camera with Simple Additive Weighting Method

    Directory of Open Access Journals (Sweden)

    Tri Pina Putri

    2016-11-01

    Full Text Available One of the technologies that evolve today is Digital Single Lens Reflex (DSLR camera. The number of products makes users have difficulties to choose the appropriate camera based on their criteria. Users may utilize several ways to help them choosing the intended camera such as using magazine, internet, and other media. This paper discusses about a web based decision support system to choose cameras by using SAW (Simple Additive Weighting method in order to make the decision process more effective and efficient. This system is expected to give recommendations about the camera which is appropriate with the user’s need and criteria based on the cost, the resolution, the feature, the ISO, and the censor. The system was implemented by using PHP and MySQL. Based on the result of questionnaire distributed to 20 respondents, 60% respondents agree that this decision support system can help users to choose the appropriate camera DSLR in accordance with the user’s need, 60% of respondents agree that this decision support system is more effective to choose DSLR camera and 75% of respondents agree that this system is more efficient. In addition, 60.55% of respondents agree that this system has met 5 Es Usability Framework.

  16. A decision support system for telemedicine through the mobile telecommunications platform.

    Science.gov (United States)

    Eren, Ali; Subasi, Abdulhamit; Coskun, Osman

    2008-02-01

    In this paper we have discussed the application of artificial intelligence in telemedicine using mobile device. The main goal of our research is to develop methods and systems to collect, analyze, distribute and use medical diagnostics information from multiple knowledge sources and areas of expertise. Physicians may collect and analyze information obtained from experts worldwide with the help of a medical decision support system. In this information retrieval system, modern communication tools such as computers and mobile phones can be used efficiently. In this work we propose a medical decision support system using the general packet radio service (GPRS). GPRS, a data extension of the mobile telephony standard Global system for mobile communications (GSM) is emerging as the first true packet-switched architecture to allow mobile subscribers to benefit from high-speed transmission rates and run JAVA based applications from their mobile terminals. An academic prototype of a medical decision support system using mobile device was implemented. The results reveal that the system could find acceptance from the medical community and it could be an effective means of providing quality health care in developing countries.

  17. Analysis of Nuclear Power Plant Fittings Stock Management and Design of a Decision Support System

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Through analyzing the desired characteristics of fittings in a nuclear power plant, the representative random stock models are built, and forecast methods about the desired probability of fittings are discussed secondly, the design of the plant fittings stock decision support system (FSDSS) is given.Then the main features of this system and function modules are introduced, and the special emphasis on organization of a database and composition and memory of a model base is given.

  18. Implications of Modern Decision Science for Military Decision-Support Systems

    Science.gov (United States)

    2005-01-01

    DSS decision-support system EBO effects-based operations EBP effects-based planning HBP heuristics and biases paradigm IIASA International Institute for...policy among citizens); 15 The work done by the International Institute for Applied Systems Analysis ( IIASA ) in Austria is basically the same as what...www.cbo.gov. Although some CBO documents are exclusively focused on economic issues, many are substantial policy analyses. IIASA also has a great many

  19. An Integrated Web-based Decision Support System in Disaster Risk Management

    Science.gov (United States)

    Aye, Z. C.; Jaboyedoff, M.; Derron, M. H.

    2012-04-01

    Nowadays, web based decision support systems (DSS) play an essential role in disaster risk management because of their supporting abilities which help the decision makers to improve their performances and make better decisions without needing to solve complex problems while reducing human resources and time. Since the decision making process is one of the main factors which highly influence the damages and losses of society, it is extremely important to make right decisions at right time by combining available risk information with advanced web technology of Geographic Information System (GIS) and Decision Support System (DSS). This paper presents an integrated web-based decision support system (DSS) of how to use risk information in risk management efficiently and effectively while highlighting the importance of a decision support system in the field of risk reduction. Beyond the conventional systems, it provides the users to define their own strategies starting from risk identification to the risk reduction, which leads to an integrated approach in risk management. In addition, it also considers the complexity of changing environment from different perspectives and sectors with diverse stakeholders' involvement in the development process. The aim of this platform is to contribute a part towards the natural hazards and geosciences society by developing an open-source web platform where the users can analyze risk profiles and make decisions by performing cost benefit analysis, Environmental Impact Assessment (EIA) and Strategic Environmental Assessment (SEA) with the support of others tools and resources provided. There are different access rights to the system depending on the user profiles and their responsibilities. The system is still under development and the current version provides maps viewing, basic GIS functionality, assessment of important infrastructures (e.g. bridge, hospital, etc.) affected by landslides and visualization of the impact

  20. Decision-support systems for natural-hazards and land-management issues

    Science.gov (United States)

    Dinitz, Laura; Forney, William; Byrd, Kristin

    2012-01-01

    Scientists at the USGS Western Geographic Science Center are developing decision-support systems (DSSs) for natural-hazards and land-management issues. DSSs are interactive computer-based tools that use data and models to help identify and solve problems. These systems can provide crucial support to policymakers, planners, and communities for making better decisions about long-term natural hazards mitigation and land-use planning.

  1. The Design of the Assistant Decision Support System of Cross-Regional Rural Labor Flow

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    The framework of the assistant decision support system of cross-regional rural labor flow is established,the system combines the cross-regional rural labor flow with DSS,which provides the leaders with the maximum assistant decision-making function in the regulation and guidance of rural labors as well as in relevant programs.The assistant decision support system functions are discussed,the function modules of this system are introduced from four aspects,including the analysis of labor flow,the prediction of labor flow,the regulation of cross-regional flow and the configuration of decision support system;based on the data base obtained from dynamic tracking of the migrant workers and combining other data sources,the data warehouse model is established,for example,in the analysis of the labor migration times,a star multi-dimensional data model is designed from the time dimension,place dimension,the type of work dimension,accompaniers dimension and so on;the trans-regional flow of rural labor force is analyzed and predicted by using OLAP from the labor’s migration times,migration places and other various perspectives.The operation principles of the assistant decision support system of trans-regional labor flow are introduced,it is pointed out that the system serves the policy-makers of the regulation of labor flow and other relevant enterprises,the system will play an important role in the tracking monitoring and cross-regional regulation of the rural labor flow.

  2. Developments in the JRodos decision support system for off-site nuclear emergency management and rehabilitation

    Energy Technology Data Exchange (ETDEWEB)

    Landman, Claudia [Karlsruher Institut fuer Technologie (KIT), Eggenstein-Leopoldshafen (Germany); Pro-Science GmbH, Ettlingen (Germany); Raskob, Wolfgang; Trybushnyi, Dmytro [Karlsruher Institut fuer Technologie (KIT), Eggenstein-Leopoldshafen (Germany)

    2016-07-01

    JRodos is a non-commercial computer-based decision support system for nuclear accidents. The simulation models for assessing radiological and other consequences and the system features and components allow real-time operation for off-site emergency management as well as the use as a tool for preparing exercises and pre-plannng of countermeasures. There is an active user community that takes influence on further developments.

  3. A Real-Time Decision Support System for Anesthesiologist End-of-Shift Relief.

    Science.gov (United States)

    Wax, David B; McCormick, Patrick J

    2017-02-01

    A decision support system using recent data about work hours and real-time data about relief events was developed to guide anesthesiologist end-of-shift relief decisions in an effort to promote a relief order that prioritized relief for those who had recently worked later than others. After system implementation, there were fewer deviations from this idealized order of relief, and early relief was more evenly distributed.

  4. Operational decision support system for large combined sewage systems: Lisbon/Tagus estuary case study.

    Science.gov (United States)

    Póvoa, P; Nobre, A; Leitão, P; Galvão, P; Santos, H; Frazão, A; Neves, R; Matos, J S

    2015-01-01

    Managing combined sewage systems in large cities discharging to coastal waters, often bearing recreational activities, remains a challenge. Studying the impacts of such discharges requires the development of specific models. Hydrodynamic and water quality modelling of coastal waters employs numerical methods and algorithms, leading to the design of complex models which require expert use. The use of such models as decision support tools to simulate discharge impacts and define adequate corrective measures could represent a key part in meeting this challenge. In this paper, the authors describe the work undertaken to develop an operational decision support system (ODSS) methodology aiming to enable wastewater utilities' non-expert staff to carry out user-friendly scenario analysis based on computational fluid dynamics simulations. This article depicts the application and validation of the ODSS to the combined sewage system and the Tagus estuary of the city of Lisbon in Portugal. The ODSS was used for simulating the effects in the receiving coastal waters of a discharge caused by a scheduled maintenance operation in the sewage infrastructure. Results show that the use of such ODSS by non-expert staff increases their decision capabilities and knowledge of the wastewater utility's contribution to reducing negative impacts of sewage discharges on the receiving water bodies.

  5. Fuzzy Reasoning as a Base for Collision Avoidance Decision Support System

    Directory of Open Access Journals (Sweden)

    tanja brcko

    2013-12-01

    Full Text Available Despite the generally high qualifications of seafarers, many maritime accidents are caused by human error; such accidents include capsizing, collision, and fire, and often result in pollution. Enough concern has been generated that researchers around the world have developed the study of the human factor into an independent scientific discipline. A great deal of progress has been made, particularly in the area of artificial intelligence. But since total autonomy is not yet expedient, the decision support systems based on soft computing are proposed to support human navigators and VTS operators in times of crisis as well as during the execution of everyday tasks as a means of reducing risk levels.This paper considers a decision support system based on fuzzy logic integrated into an existing bridge collision avoidance system. The main goal is to determine the appropriate course of avoidance, using fuzzy reasoning.

  6. K-GATE Ontology Driven Knowledge Based System for Decision Support

    Directory of Open Access Journals (Sweden)

    Pavel Gardavsky

    2012-01-01

    Full Text Available The purpose of this paper is to describe a practical solution how to build an ontology driven knowledge based system for decision support about a domain of interest. Topic Maps standardized techniques were used for ontology building and also for keeping ontology open for new requirements. After detailed evaluation process, AToM2 software product was chosen for ontology development. Besides ontology development AToM2 provides complex tools for normalizing data into ontology both in interactive/automated way, mining knowledge from the ontology and presenting results. Software product Tovek Server was used for analysing and determining useful and domain relevant structures in unstructured content. The resulting knowledge based system is created as an output of methodological processes called Coordinated Analysis and Sharing of Information. The resulting Ontology Driven Knowledge Based System for Decision Support proposal was named K-GATE.

  7. Decision Support System Requirements Definition for Human Extravehicular Activity Based on Cognitive Work Analysis.

    Science.gov (United States)

    Miller, Matthew James; McGuire, Kerry M; Feigh, Karen M

    2017-06-01

    The design and adoption of decision support systems within complex work domains is a challenge for cognitive systems engineering (CSE) practitioners, particularly at the onset of project development. This article presents an example of applying CSE techniques to derive design requirements compatible with traditional systems engineering to guide decision support system development. Specifically, it demonstrates the requirements derivation process based on cognitive work analysis for a subset of human spaceflight operations known as extravehicular activity. The results are presented in two phases. First, a work domain analysis revealed a comprehensive set of work functions and constraints that exist in the extravehicular activity work domain. Second, a control task analysis was performed on a subset of the work functions identified by the work domain analysis to articulate the translation of subject matter states of knowledge to high-level decision support system requirements. This work emphasizes an incremental requirements specification process as a critical component of CSE analyses to better situate CSE perspectives within the early phases of traditional systems engineering design.

  8. Evaluation of a Computerized Clinical Information System (Micromedex).

    OpenAIRE

    Lundsgaarde, H. P.; Moreshead, G. E.

    1991-01-01

    This paper summarizes data collected as part of a project designed to identify and assess the technical and organizational problems associated with the implementation and evaluation of a Computerized Clinical Information System (CCIS), Micromedex, in three U.S. Department of Veterans Affairs Medical Centers (VAMCs). The study began in 1987 as a national effort to implement decision support technologies in the Veterans Administration Decentralized Hospital Computer Program (DHCP). The specific...

  9. IDESSA: An Integrative Decision Support System for Sustainable Rangeland Management in Southern African Savannas

    Science.gov (United States)

    Meyer, Hanna; Authmann, Christian; Dreber, Niels; Hess, Bastian; Kellner, Klaus; Morgenthal, Theunis; Nauss, Thomas; Seeger, Bernhard; Tsvuura, Zivanai; Wiegand, Kerstin

    2017-04-01

    Bush encroachment is a syndrome of land degradation that occurs in many savannas including those of southern Africa. The increase in density, cover or biomass of woody vegetation often has negative effects on a range of ecosystem functions and services, which are hardly reversible. However, despite its importance, neither the causes of bush encroachment, nor the consequences of different resource management strategies to combat or mitigate related shifts in savanna states are fully understood. The project "IDESSA" (An Integrative Decision Support System for Sustainable Rangeland Management in Southern African Savannas) aims to improve the understanding of the complex interplays between land use, climate patterns and vegetation dynamics and to implement an integrative monitoring and decision-support system for the sustainable management of different savanna types. For this purpose, IDESSA follows an innovative approach that integrates local knowledge, botanical surveys, remote-sensing and machine-learning based time-series of atmospheric and land-cover dynamics, spatially explicit simulation modeling and analytical database management. The integration of the heterogeneous data will be implemented in a user oriented database infrastructure and scientific workflow system. Accessible via web-based interfaces, this database and analysis system will allow scientists to manage and analyze monitoring data and scenario computations, as well as allow stakeholders (e. g. land users, policy makers) to retrieve current ecosystem information and seasonal outlooks. We present the concept of the project and show preliminary results of the realization steps towards the integrative savanna management and decision-support system.

  10. A decision support system for the promotion of Employee in Plaza Asia Method Using Weighted Product

    Directory of Open Access Journals (Sweden)

    Egi Badar Sambani

    2016-06-01

    Full Text Available Decision-making in a company is important because decisions taken by managers is the result of a final thought to be carried out by employees. Asia is the largest mall Plaza sepriangan east, where the assessment process includes the promotion employee attendance, productivity (work, integrity (nature, skill (ability and loyalty (faithfulness. Method Using Weighted Product (WP can help in decision-making to determine the promotion of employees in the company, as well as the appraisal process more efficient so the store manager can determine employee promotions quickly. By using decision support system that has a database, employee data can be stored in the database. So that in case of errors in inputting can be corrected without having to re-enter the data. With the Decision Support System will address the issues raised in the Plaza Asia, so the promotion process will be faster.

  11. The roles of a decision support system in applying forest ecosystem management in Northeast China

    Institute of Scientific and Technical Information of China (English)

    DAI; Limin; ZHENG; Bofu; Guofan; Shao; ZHOU; Li

    2006-01-01

    Forest ecosystems provide a variety of services and forest ecosystem management (FEM) is an effective approach to maximize the services. Because of the complexity of forest ecosystems, the applications of FEM can be facilitated with decision support systems (DSS) that recognize and incorporate ecological and socio-economic variables. With the rapid development of computation and information technologies, DSS have been advanced in many ways. Traditional forest management within a forestry unit in China is planned on a yearly basis. The planning itself remains primarily a verbal concept as there are no quantitative decision-support tools available to translate the concept into forest management actions. For the purposes of FEM at the management level, a forest management DFF, FORESTAR(R), has been developed under a framework of geographic information system (GIS) and forest models. The paper explained the intelligent modeling mechanisms and demonstrated how the applications of FEM can be strengthened with the applications of FORESTAR(R).

  12. A strategic decision support system for logistics and supply chain network design

    Indian Academy of Sciences (India)

    T BISWAS; SUSMITA SAMANTA

    2016-06-01

    This paper aims to develop a strategic decision support system for logistics and supply chain network design of a multi-stage, multi-commodity, and multi-period distribution and transportation system. A mixed integer linear programming model is proposed to tackle the problem while minimizing the operating,transportation and handling cost through all tiers of the supply chain network. A genetic algorithm based method has been proposed to solve the problem in a large scale realistic environment. The efficacy of the developed strategic decision support model in achieving better utilization of network and resources to fulfill the customer demand is demonstrated using illustrative scenarios inspired from the real case of a logistics company

  13. Implementation of a clinical decision support system using a service model: results of a feasibility study.

    Science.gov (United States)

    Borbolla, Damian; Otero, Carlos; Lobach, David F; Kawamoto, Kensaku; Gomez Saldaño, Ana M; Staccia, Gustavo; Lopez, Gastón; Figar, Silvana; Luna, Daniel; Bernaldo de Quiros, Fernan Gonzalez

    2010-01-01

    Numerous studies have shown that the quality of health care is inadequate, and healthcare organizations are increasingly turning to clinical decision support systems (CDSS) to address this problem. In implementing CDSS, a highly promising architectural approach is the use of decision support services. However, there are few reported examples of successful implementations of operational CDSS using this approach. Here, we describe how Hospital Italiano de Buenos Aires evaluated the feasibility of using the SEBASTIAN clinical decision support Web service to implement a CDSS integrated with its electronic medical record system. The feasibility study consisted of three stages: first, end-user acceptability testing of the proposed CDSS through focus groups; second, the design and implementation of the system through integration of SEBASTIAN and the authoring of new rules; and finally, validation of system performance and accuracy. Through this study, we found that it is feasible to implement CDSS using a service-based approach. The CDSS is now under evaluation in a randomized controlled trial. The processes and lessons learned from this initiative are discussed.

  14. Mathematical Modeling of spatial disease variables by Spatial Fuzzy Logic for Spatial Decision Support Systems

    Science.gov (United States)

    Platz, M.; Rapp, J.; Groessler, M.; Niehaus, E.; Babu, A.; Soman, B.

    2014-11-01

    A Spatial Decision Support System (SDSS) provides support for decision makers and should not be viewed as replacing human intelligence with machines. Therefore it is reasonable that decision makers are able to use a feature to analyze the provided spatial decision support in detail to crosscheck the digital support of the SDSS with their own expertise. Spatial decision support is based on risk and resource maps in a Geographic Information System (GIS) with relevant layers e.g. environmental, health and socio-economic data. Spatial fuzzy logic allows the representation of spatial properties with a value of truth in the range between 0 and 1. Decision makers can refer to the visualization of the spatial truth of single risk variables of a disease. Spatial fuzzy logic rules that support the allocation of limited resources according to risk can be evaluated with measure theory on topological spaces, which allows to visualize the applicability of this rules as well in a map. Our paper is based on the concept of a spatial fuzzy logic on topological spaces that contributes to the development of an adaptive Early Warning And Response System (EWARS) providing decision support for the current or future spatial distribution of a disease. It supports the decision maker in testing interventions based on available resources and apply risk mitigation strategies and provide guidance tailored to the geo-location of the user via mobile devices. The software component of the system would be based on open source software and the software developed during this project will also be in the open source domain, so that an open community can build on the results and tailor further work to regional or international requirements and constraints. A freely available EWARS Spatial Fuzzy Logic Demo was developed wich enables a user to visualize risk and resource maps based on individual data in several data formats.

  15. A DECISION SUPPORT AID FOR BEEF CATTLE INVESTMENT USING EXPERT SYSTEMS

    OpenAIRE

    Lawrence L. Falconer; Long, Charles R.; McGrann, James M.

    1996-01-01

    The beef cattle investment decision provides an excellent opportunity to increase the economic efficiency of beef cattle production. The investment questions that face beef cattle producers are of interest to beef cattle producers, educators, and financial institutions involved in lending to beef cattle producing firms. This study develops a decision support aid utilizing expert system technology to assist beef cattle producers in making well-founded investment decisions with respect to the f...

  16. Improving Decision Making by Means of a Marketing Decision Support System

    OpenAIRE

    Gerrit H. van Bruggen; Ale Smidts; Berend Wierenga

    1998-01-01

    Marketing decision makers are confronted with an increasing amount of information. This leads to a complex decision environment that may cause decision makers to lapse into using mental-effort-reducing heuristics such as anchoring and adjustment. In an experimental study, we find that the use of a marketing decision support system (MDSS) increases the effectiveness of marketing decision makers. An MDSS is effective because it assists its users in identifying the important decision variables a...

  17. DEVELOPMENT OF A PROTOTYPE OF MALARIA CLINICAL DIAGNOSTIC DECISION SUPPORT SYSTEM

    OpenAIRE

    Harefa, Sudarta Yabesman; Lazuardi, Lutfan; Fuad, Anis

    2014-01-01

    Introduction : Malaria is a public health problem that still causes mortality, particularly in high risk population. Kabupaten Nias is one of the malaria endemic areas. Malaria diagnosis is mainly determined according to physical examination, despite the fact that laboratory examination is the gold standard of malaria diagnosis. To help health workers in diagnosing malaria accurately, it is necessary to develop a decision support system for malaria diagnosis.Objectives: To develop a prototype...

  18. RSLES: an architectural implementation of a decision support system for optimal recruit station location

    OpenAIRE

    Houck, Dale E.; Shigley, Mark V.

    1999-01-01

    Approved for Public release; distribution is unlimited This thesis describes a component-based methodology for developing a decision support system (DSS) for optimal location of military recruiting stations in regional recruiting markets. The DSS is designed to ensure that stations are selected that minimize cost for a given level of production. The interface allows users to perform "what if' analysis to determine if there are better locations to meet desired objectives. The Recruit Statio...

  19. A decision support system for ERP projects in make -to-order manufacturing SMEs

    OpenAIRE

    Pillai, Sreejit

    2015-01-01

    Almost 40 to 57% of Enterprise Resource Planning (ERP) projects fail to realise any benefit, run over budget or time. Only a few published works explicitly focus on ERP Critical Success Factors (CSFs) in Make-to-Order (MTO) manufacturing small and medium size enterprises (SMEs).\\ud \\ud A dynamic Decision Support System (DSS) is developed for selecting and managing CSFs including production strategy and their interrelationships during and after completion of ERP projects in MTO SMEs. The resea...

  20. RECOVER: An Automated, Cloud-Based Decision Support System for Post-Fire Rehabilitation Planning

    OpenAIRE

    J. L. Schnase; Carroll, M. L.; Weber, K. T.; Brown, M. E.; R. L. Gill; Wooten, M.; J. May; K. Serr; Smith, E.; Goldsby, R.; K. Newtoff; K. Bradford; Doyle, C; E. Volker; Weber, S

    2014-01-01

    RECOVER is a site-specific decision support system that automatically brings together in a single analysis environment the information necessary for post-fire rehabilitation decision-making. After a major wildfire, law requires that the federal land management agencies certify a comprehensive plan for public safety, burned area stabilization, resource protection, and site recovery. These burned area emergency response (BAER) plans are a crucial part of our national response to wildfi...

  1. The support of medication reviews in hospitalised patients using a clinical decision support system

    OpenAIRE

    de Wit, Hugo A. J. M.; Hurkens, Kim P. G. M.; Mestres Gonzalvo, Carlota; Smid, Machiel; Sipers, Walther; Winkens, Bjorn; Mulder, Wubbo J; Janknegt, Rob; Verhey, Frans R; van der Kuy, Paul-Hugo M.; Schols, Jos M. G. A.

    2016-01-01

    Objectives First, to estimate the added value of a clinical decision support system (CDSS) in the performance of medication reviews in hospitalised elderly. Second, to identify the limitations of the current CDSS by analysing generated drug-related problems (DRPs). Methods Medication reviews were performed in patients admitted to the geriatric ward of the Zuyderland medical centre. Additionally, electronically available patient information was introduced into a CDSS. The DRP notifications gen...

  2. Mobile clinical decision support systems and applications: a literature and commercial review.

    Science.gov (United States)

    Martínez-Pérez, Borja; de la Torre-Díez, Isabel; López-Coronado, Miguel; Sainz-de-Abajo, Beatriz; Robles, Montserrat; García-Gómez, Juan Miguel

    2014-01-01

    The latest advances in eHealth and mHealth have propitiated the rapidly creation and expansion of mobile applications for health care. One of these types of applications are the clinical decision support systems, which nowadays are being implemented in mobile apps to facilitate the access to health care professionals in their daily clinical decisions. The aim of this paper is twofold. Firstly, to make a review of the current systems available in the literature and in commercial stores. Secondly, to analyze a sample of applications in order to obtain some conclusions and recommendations. Two reviews have been done: a literature review on Scopus, IEEE Xplore, Web of Knowledge and PubMed and a commercial review on Google play and the App Store. Five applications from each review have been selected to develop an in-depth analysis and to obtain more information about the mobile clinical decision support systems. Ninety-two relevant papers and 192 commercial apps were found. Forty-four papers were focused only on mobile clinical decision support systems. One hundred seventy-one apps were available on Google play and 21 on the App Store. The apps are designed for general medicine and 37 different specialties, with some features common in all of them despite of the different medical fields objective. The number of mobile clinical decision support applications and their inclusion in clinical practices has risen in the last years. However, developers must be careful with their interface or the easiness of use, which can impoverish the experience of the users.

  3. Multi Agent Communication System for Online Auction with Decision Support System by JADE and TRACE

    CERN Document Server

    Martin, A; Madhusudanan, J; 10.4156/jcit.vol4.issue2.martin

    2011-01-01

    The success of online auctions has given buyers access to greater product diversity with potentially lower prices. It has provided sellers with access to large numbers of potential buyers and reduced transaction costs by enabling auctions to take place without regard to time or place. However it is difficult to spend more time period with system and closely monitor the auction until auction participant wins the bid or closing of the auction. Determining which items to bid on or what may be the recommended bid and when to bid it are difficult questions to answer for online auction participants. The multi agent auction advisor system JADE and TRACE, which is connected with decision support system, gives the recommended bid to buyers for online auctions. The auction advisor system relies on intelligent agents both for the retrieval of relevant auction data and for the processing of that data to enable meaningful recommendations, statistical reports and market prediction report to be made to auction participants.

  4. Constructing Clinical Decision Support Systems for Adverse Drug Event Prevention: A Knowledge-based Approach.

    Science.gov (United States)

    Koutkias, Vassilis; Kilintzis, Vassilis; Stalidis, George; Lazou, Katerina; Collyda, Chrysa; Chazard, Emmanuel; McNair, Peter; Beuscart, Regis; Maglaveras, Nicos

    2010-11-13

    A knowledge-based approach is proposed that is employed for the construction of a framework suitable for the management and effective use of knowledge on Adverse Drug Event (ADE) prevention. The framework has as its core part a Knowledge Base (KB) comprised of rule-based knowledge sources, that is accompanied by the necessary inference and query mechanisms to provide healthcare professionals and patients with decision support services in clinical practice, in terms of alerts and recommendations on preventable ADEs. The relevant Knowledge Based System (KBS) is developed in the context of the EU-funded research project PSIP (Patient Safety through Intelligent Procedures in Medication). In the current paper, we present the foundations of the framework, its knowledge model and KB structure, as well as recent progress as regards the population of the KB, the implementation of the KBS, and results on the KBS verification in decision support operation.

  5. Clinical performance of an interactive clinical decision support system for assessment of plasma lactate in hospitalized patients with organ dysfunction

    Directory of Open Access Journals (Sweden)

    Raschke RA

    2017-05-01

    Full Text Available Purpose: Elevated plasma lactate concentration can be a useful measure of tissue hypo-perfusion in acutely deteriorating patients, focusing attention on the need for urgent resuscitation. But lactate is not always assessed in a timely fashion in patients who have deteriorating vital signs. We hypothesized that an electronic medical record (EMR-based decision support system could interact with clinicians to prompt assessment of plasma lactate in appropriate clinical situations in order to risk stratify a population of inpatients and identify those who are acutely deteriorating in real-time. Methods: All adult patients admitted to our hospital over a three month period were monitored by an EMR-based lactate decision support system (lactate DSS programmed to detect patients exhibiting acute organ dysfunction and engage the clinician in the decision to order a plasma lactate concentration. Inpatient mortality was determined for the five risk categories that this system generated, and chart review was performed on a high-risk subgroup to describe the spectrum of bedside events that triggered the system logic. Results: The lactate DSS segregated inpatients into five strata with mortality rates of 0.8% (95%CI:0.6-1.0%; 2.7% (95%CI:1.0-4.4%; 7.9% (95%CI: 6.0-10.1%, 13.0% (95%CI: 9.0-17.8% and 42.1% (95%CI: 32.0-52.4%, achieving a discriminant accuracy of 80% (95%CI:76-84% by AUROC for predicting inpatient mortality. Classification into the two highest risk strata had a positive predictive value for detecting acute life-threatening clinical events of 54% (95%CI: 41.5-66.5%. Conclusions: Our lactate decision support system is different than previously-described computerized “early warning systems”, because it engages the clinician in decision-making and incorporates clinical judgment in risk stratification. Our system has favorable operating characteristics for the prediction of inpatient mortality and real-time detection of acute life

  6. Study on Decision Support System of Agricultural Sustainable Development of Jianli County in Jianghan Plain

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    With the agricultural development and the modernization of decision-making, it is necessary to establish the agricultural sustainable development decision support system supported by GIS. We set Jianli county as an example; our aim is to realize decision spatialiazation with the support of information system, remote sensing and artificial intelligence. The system components are described in the aspects of database, knowledge base, model-base, and method-base. This system will provide a workable system for local decision-makers and agricultural management sections.

  7. Knowledge-based decision support system for tool management in flexible manufacturing system

    Institute of Scientific and Technical Information of China (English)

    周炳海; 奚立峰; 蔡建国

    2004-01-01

    Tool management is not a single, simple activity, it is comprised of a complex set of functions, especially in a flexible manufacturing system (FMS) environment. The issues associated with tool management include tool requirement planning, tool real-time scheduling, tool crib management, tool inventory control, tool fault diagnosis, tool tracking and tool monitoring. In order to make tools flow into/out of FMS efficiently, this work is aimed to design a knowledge-based decision support system (KBDSS) for tool management in FMS. Firstly an overview of tool management functions is described. Then the structure of KBDSS for tool management and the essential agents in the design of KBDSS are presented. Finally the individual agents of KBDSS are discussed for design and development.

  8. Decision Making Based On Management Information System and Decision Support System

    Directory of Open Access Journals (Sweden)

    Şükrü Ada

    2015-04-01

    Full Text Available Information hasbecome an essentialresource for managing modern organizations. This is so because today’sbusiness environment is volatile, dynamic, turbulent and necessitates the burgeoning demand for accurate, relevant, complete,timely and economical information needed to drive the decision-making process in order to accentuate organizational abilities to manage opportunities and threat. MIS work on online mode with an average processing speed. Generally, it is used by low level management. Decision support system are powerful tool that assist corporate executives, administrators and other senior officials in making decision regarding the problem. Management Information Systems is a useful tool that provided organized and summarized information in a proper time to decision makers and enable making accurate decision for managers in organizations. This paper will discuss the concept, characteristics, types of MIS, the MIS model, and in particular it will highlight the impact and role of MIS on decision making.

  9. Retrospective value analysis of decision support benefits from a production planning system for a brewery

    Directory of Open Access Journals (Sweden)

    H.W. Ittmann

    2003-12-01

    Full Text Available A decision support system for production planning in a brewing company was developed to assist with the planning of brewing, packaging and distribution of beer and to minimise production costs. Having been in operation for some time, the system has changed and adapted in a very dynamic environment. The system's present form and current use are discussed. Initial management approval for system development was based on faith rather than proper cost-benefit and value analyses. This paper aims at retrospectively highlighting these values and benefits with regard to supporting decision-making in the company.

  10. Development of an open case-based decision-support system for diagnosis in oral pathology.

    Science.gov (United States)

    Borra, R C; Andrade, P M; Corrêa, L; Novelli, M D

    2007-05-01

    Making diagnoses in oral pathology are often difficult and confusing in dental practice, especially for the less-experienced dental student. One of the most promising areas in bioinformatics is computer-aided diagnosis, where a computer system is capable of imitating human reasoning ability and provides diagnoses with an accuracy approaching that of expert professionals. This type of system could be an alternative tool for assisting dental students to overcome the difficulties of the oral pathology learning process. This could allow students to define variables and information, important to improving the decision-making performance. However, no current open data management system has been integrated with an artificial intelligence system in a user-friendly environment. Such a system could also be used as an education tool to help students perform diagnoses. The aim of the present study was to develop and test an open case-based decision-support system. An open decision-support system based on Bayes' theorem connected to a relational database was developed using the C++ programming language. The software was tested in the computerisation of a surgical pathology service and in simulating the diagnosis of 43 known cases of oral bone disease. The simulation was performed after the system was initially filled with data from 401 cases of oral bone disease. The system allowed the authors to construct and to manage a pathology database, and to simulate diagnoses using the variables from the database. Combining a relational database and an open decision-support system in the same user-friendly environment proved effective in simulating diagnoses based on information from an updated database.

  11. Cooperative Spatial Decision Support System for Controlling Animal Diseases Outbreaks in Egypt

    Directory of Open Access Journals (Sweden)

    Mahmoud Bakr

    2015-05-01

    Full Text Available Decision Support System (DSS aims to help decision maker in the process of making decision, a Spatial Decision Support System (SDSS is a DSS deals with spatial problem or use spatial data in solving a problem. Animal Diseases Spatial Decision Support System (ADSDSS utilizes the capabilities of Data warehouse, Online Analytical Processing (OLAP, Geographic Information System (GIS, data mining techniques and knowledge base systems to provide decision makers with their needed information about the infected animals, infected places and diseases outbreaks. This information is displayed as reports or charts or allocated on a map which illustrates the most and the least affected places in an easy and fast way. So decision makers can take the right decision to control the spread of diseases outbreaks. For building ADSDSS the following steps are done (a Animal diagnosis data from different data bases with climate database collected into a repository data warehouse for generating diagnosis data mart, (b OLAP capabilities integrated with the diagnosis data mart for analysis and aggregation of data, (c One of data mining techniques was applied and integrated into the system (association rules to discover the relationships between different data items, (d GIS spatial analysis and visualization capabilities integrated with the system to analyze diagnosis data and generate maps of diseases and outbreaks, (e decisions suggestion capability integrated into the system to provide decision makers with suggestions and solutions to deal with diseases outbreaks. The experimental results show that the proposed system can provide the decision makers with their needed information in a fast and easy way.

  12. A decision support system for real-time hydropower scheduling in a competitive power market environment

    Science.gov (United States)

    Shawwash, Ziad Khaled Elias

    2000-10-01

    The electricity supply market is rapidly changing from a monopolistic to a competitive environment. Being able to operate their system of reservoirs and generating facilities to get maximum benefits out of existing assets and resources is important to the British Columbia Hydro Authority (B.C. Hydro). A decision support system has been developed to help B.C. Hydro operate their system in an optimal way. The system is operational and is one of the tools that are currently used by the B.C. Hydro system operations engineers to determine optimal schedules that meet the hourly domestic load and also maximize the value B.C. Hydro obtains from spot transactions in the Western U.S. and Alberta electricity markets. This dissertation describes the development and implementation of the decision support system in production mode. The decision support system consists of six components: the input data preparation routines, the graphical user interface (GUI), the communication protocols, the hydraulic simulation model, the optimization model, and the results display software. A major part of this work involved the development and implementation of a practical and detailed large-scale optimization model that determines the optimal tradeoff between the long-term value of water and the returns from spot trading transactions in real-time operations. The postmortem-testing phase showed that the gains in value from using the model accounted for 0.25% to 1.0% of the revenues obtained. The financial returns from using the decision support system greatly outweigh the costs of building it. Other benefits are the savings in the time needed to prepare the generation and trading schedules. The system operations engineers now can use the time saved to focus on other important aspects of their job. The operators are currently experimenting with the system in production mode, and are gradually gaining confidence that the advice it provides is accurate, reliable and sensible. The main lesson

  13. Four Principles for User Interface Design of Computerised Clinical Decision Support Systems

    DEFF Research Database (Denmark)

    Kanstrup, Anne Marie; Christiansen, Marion Berg; Nøhr, Christian

    2011-01-01

    Abstract.  The paper presents results from design of a user interface for a Computerised Clinical Decision Support System (CSSS). The ambition has been to design Human-Computer Interaction that can minimise medication errors. Through an iterative design process a digital prototype for prescription...... emphasises a focus on how users interact with the system, a focus on how information is provided by the system, and four principles of interaction. The four principles for design of user interfaces for CDSS are summarised as four A’s: All in one, At a glance, At hand and Attention. It is recommended that all...

  14. EUPHIDS, a decision-support system for the admission of pesticides

    OpenAIRE

    Beinat E; Berg R van den; Vrije Universiteit van Amsterdam; Fraunhofer Institue for Environmental Chemistry and Ecotoxicology, Schmallenberg, Duitsland; International Centre of Pesticide Safety, Busto Garolfo, Italie; LBG

    1996-01-01

    EUPHIDS (EUropean Pesticide Hazard Information and Decision-support System) is the result of a research project carried out during 1993-1995 with the support of the Environment Research Programme (1990-1994) of the European Union. The system is meant to become an aid in the process of registering a plant-protection product (pesticide) in the European Union, including its Member States and their respective regions. The system is meant to fill the gap between the general criteria, set by the Un...

  15. Mobile Clinical Decision Support Systems in Our Hands - Great Potential but also a Concern.

    Science.gov (United States)

    Masic, Izet; Begic, Edin

    2016-01-01

    Due to the powerful computer resources as well as the availability of today's mobile devices, a special field of mobile systems for clinical decision support in medicine has been developed. The benefits of these applications (systems) are: availability of necessary hardware (mobile phones, tablets and phablets are widespread, and can be purchased at a relatively affordable price), availability of mobile applications (free or for a "small" amount of money) and also mobile applications are tailored for easy use and save time of clinicians in their daily work. In these systems lies a huge potential, and certainly a great economic benefit, so this issue must be approached multidisciplinary.

  16. Examination of decision support systems for composite CBA & MCDA assessments of transport infrastructure projects

    DEFF Research Database (Denmark)

    Barfod, Michael Bruhn; Jensen, Anders Vestergaard; Leleur, Steen

    2011-01-01

    This paper examines decision support systems (DSS) for composite appraisals of transport infrastructure projects comprising both cost-benefit analysis (CBA) and multi-criteria decision analysis (MCDA). Two DSS, REMBRANDT and COSIMA, are in this context examined and compared using a case study...... dealing with alternatives for a new high-speed railway line in Sweden. The REMBRANDT system is based on multiplicative value functions and makes use of pair wise comparisons on both attribute and criteria level. The COSIMA system is based on additive value functions and makes use of the REMBRANDT......, a recommendation for the use of DSS within transport infrastructure appraisals is set out....

  17. Examination of Decision Support Systems for Composite CBA and MCDA Assessments of Transport Infrastructure Projects

    DEFF Research Database (Denmark)

    Barfod, Michael Bruhn; Jensen, Anders Vestergaard; Leleur, Steen

    2011-01-01

    This paper examines decision support systems (DSS) for composite appraisals of transport infrastructure projects comprising both cost-benefit analysis (CBA) and multi-criteria decision analysis (MCDA). Two DSS, REMBRANDT and COSIMA, are in this context examined and compared using a case study...... dealing with alternatives for a new high-speed railway line in Sweden. The REMBRANDT system is based on multiplicative value functions and makes use of pair wise comparisons on both attribute and criteria level. The COSIMA system is based on additive value functions and makes use of the REMBRANDT......, a recommendation for the use of DSS within transport infrastructure appraisals is set out....

  18. Performance evaluation of the machine learning algorithms used in inference mechanism of a medical decision support system.

    Science.gov (United States)

    Bal, Mert; Amasyali, M Fatih; Sever, Hayri; Kose, Guven; Demirhan, Ayse

    2014-01-01

    The importance of the decision support systems is increasingly supporting the decision making process in cases of uncertainty and the lack of information and they are widely used in various fields like engineering, finance, medicine, and so forth, Medical decision support systems help the healthcare personnel to select optimal method during the treatment of the patients. Decision support systems are intelligent software systems that support decision makers on their decisions. The design of decision support systems consists of four main subjects called inference mechanism, knowledge-base, explanation module, and active memory. Inference mechanism constitutes the basis of decision support systems. There are various methods that can be used in these mechanisms approaches. Some of these methods are decision trees, artificial neural networks, statistical methods, rule-based methods, and so forth. In decision support systems, those methods can be used separately or a hybrid system, and also combination of those methods. In this study, synthetic data with 10, 100, 1000, and 2000 records have been produced to reflect the probabilities on the ALARM network. The accuracy of 11 machine learning methods for the inference mechanism of medical decision support system is compared on various data sets.

  19. Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System

    Directory of Open Access Journals (Sweden)

    Mert Bal

    2014-01-01

    Full Text Available The importance of the decision support systems is increasingly supporting the decision making process in cases of uncertainty and the lack of information and they are widely used in various fields like engineering, finance, medicine, and so forth, Medical decision support systems help the healthcare personnel to select optimal method during the treatment of the patients. Decision support systems are intelligent software systems that support decision makers on their decisions. The design of decision support systems consists of four main subjects called inference mechanism, knowledge-base, explanation module, and active memory. Inference mechanism constitutes the basis of decision support systems. There are various methods that can be used in these mechanisms approaches. Some of these methods are decision trees, artificial neural networks, statistical methods, rule-based methods, and so forth. In decision support systems, those methods can be used separately or a hybrid system, and also combination of those methods. In this study, synthetic data with 10, 100, 1000, and 2000 records have been produced to reflect the probabilities on the ALARM network. The accuracy of 11 machine learning methods for the inference mechanism of medical decision support system is compared on various data sets.

  20. Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System

    Science.gov (United States)

    Bal, Mert; Amasyali, M. Fatih; Sever, Hayri; Kose, Guven; Demirhan, Ayse

    2014-01-01

    The importance of the decision support systems is increasingly supporting the decision making process in cases of uncertainty and the lack of information and they are widely used in various fields like engineering, finance, medicine, and so forth, Medical decision support systems help the healthcare personnel to select optimal method during the treatment of the patients. Decision support systems are intelligent software systems that support decision makers on their decisions. The design of decision support systems consists of four main subjects called inference mechanism, knowledge-base, explanation module, and active memory. Inference mechanism constitutes the basis of decision support systems. There are various methods that can be used in these mechanisms approaches. Some of these methods are decision trees, artificial neural networks, statistical methods, rule-based methods, and so forth. In decision support systems, those methods can be used separately or a hybrid system, and also combination of those methods. In this study, synthetic data with 10, 100, 1000, and 2000 records have been produced to reflect the probabilities on the ALARM network. The accuracy of 11 machine learning methods for the inference mechanism of medical decision support system is compared on various data sets. PMID:25295291

  1. A Decision Support System for Climate Change Adaptation in Rainfed Sectors of Agriculture for Central Europe

    Science.gov (United States)

    Mátyás, Csaba; Berki, Imre; Drüszler, Áron; Eredics, Attila; Gálos, Borbála; Illés, Gábor; Móricz, Norbert; Rasztovits, Ervin; Czimber, Kornél

    2013-04-01

    • Background and aims: Rainfed sectors of agriculture such as nature-close forestry, non-irrigated agriculture and animal husbandry on nature-close pastures are threatened by projected climate change especially in low-elevation regions in Southeast Europe, where precipitation is the limiting factor of production and ecosystem stability. Therefore the importance of complex, long term management planning and of land use optimization is increasing. The aim of the Decision Support System under development is to raise awareness and initiate preparation for frequency increase of extreme events, disasters and economic losses in the mentioned sectors. • Services provided: The Decision Support System provides GIS-supported information about the most important regional and local risks and mitigation options regarding climate change impacts, projected for reference periods until 2100 (e.g. land cover/use and expectable changes, potential production, water and carbon cycle, biodiversity and other ecosystem services, potential pests and diseases, tolerance limits etc.). The projections are referring first of all on biological production (natural produce), but the System includes also social and economic consequences. • Methods: In the raster based system, the latest image processing technology is used. We apply fuzzy membership functions, Support Vector Machine and Maximum Likelihood classifier. The System is developed in the first step for a reference area in SW Hungary (Zala county). • Novelty: The coherent, fine-scale regional system integrates the basic information about present and projected climates, extremes, hydrology and soil conditions and expected production potential for three sectors of agriculture as options for land use and conservation. • Funding: The development of the Decision Support System "Agrárklíma" is supported by TÁMOP-4.2.2.A-11/1/KONV and 4.2.2.B-10/1-2010-0018 "Talentum" joint EU-national research projects. Keywords: climate change

  2. Evaluation of SOVAT: An OLAP-GIS decision support system for community health assessment data analysis

    Directory of Open Access Journals (Sweden)

    Parmanto Bambang

    2008-06-01

    Full Text Available Abstract Background Data analysis in community health assessment (CHA involves the collection, integration, and analysis of large numerical and spatial data sets in order to identify health priorities. Geographic Information Systems (GIS enable for management and analysis using spatial data, but have limitations in performing analysis of numerical data because of its traditional database architecture. On-Line Analytical Processing (OLAP is a multidimensional datawarehouse designed to facilitate querying of large numerical data. Coupling the spatial capabilities of GIS with the numerical analysis of OLAP, might enhance CHA data analysis. OLAP-GIS systems have been developed by university researchers and corporations, yet their potential for CHA data analysis is not well understood. To evaluate the potential of an OLAP-GIS decision support system for CHA problem solving, we compared OLAP-GIS to the standard information technology (IT currently used by many public health professionals. Methods SOVAT, an OLAP-GIS decision support system developed at the University of Pittsburgh, was compared against current IT for data analysis for CHA. For this study, current IT was considered the combined use of SPSS and GIS ("SPSS-GIS". Graduate students, researchers, and faculty in the health sciences at the University of Pittsburgh were recruited. Each round consisted of: an instructional video of the system being evaluated, two practice tasks, five assessment tasks, and one post-study questionnaire. Objective and subjective measurement included: task completion time, success in answering the tasks, and system satisfaction. Results Thirteen individuals participated. Inferential statistics were analyzed using linear mixed model analysis. SOVAT was statistically significant (α = .01 from SPSS-GIS for satisfaction and time (p Conclusion Using SOVAT, tasks were completed more efficiently, with a higher rate of success, and with greater satisfaction, than the

  3. A computerized TLD system

    Energy Technology Data Exchange (ETDEWEB)

    Pla, C.; Podgorsak, E.B.

    A computerized thermoluminescent (TL) readout technique is presented which considerably improves the precision of dose readout and facilitates the dose information management and storage. The technique is relatively simple and it involves an interface between a commercially available thermoluminescent dosimetry (TLD) analyzer and a minicomputer. Curve fitting, subtraction of unwanted thermogram peaks, background subtraction, studies of TL decay kinetics, and storage of large number of measured TL data are easily performed with the technique.

  4. Integrating complex business processes for knowledge-driven clinical decision support systems.

    Science.gov (United States)

    Kamaleswaran, Rishikesan; McGregor, Carolyn

    2012-01-01

    This paper presents in detail the component of the Complex Business Process for Stream Processing framework that is responsible for integrating complex business processes to enable knowledge-driven Clinical Decision Support System (CDSS) recommendations. CDSSs aid the clinician in supporting the care of patients by providing accurate data analysis and evidence-based recommendations. However, the incorporation of a dynamic knowledge-management system that supports the definition and enactment of complex business processes and real-time data streams has not been researched. In this paper we discuss the process web service as an innovative method of providing contextual information to a real-time data stream processing CDSS.

  5. A decision support system for boosting warfarin maintenance dose using fuzzy logic

    Directory of Open Access Journals (Sweden)

    Zahra Qaempanah

    2015-07-01

    Results: The recommended dose for 37 patients having INR therapeutic range of 2.5 to 3.5 has mean absolute error and root mean squared error of 1.89 and 2.78 respectively for three days. These error rates are 1.97 and 2.88 respectively for 38 patients who are in therapeutic range 2 to 3. Conclusion: The results are promising and encourage one to consider this system for more study with the aim of possible use as a decision support system in the future.

  6. Decision Support System for Flood Control with Applications to Jiangxi Province

    Institute of Scientific and Technical Information of China (English)

    朱来友

    2004-01-01

    Affected by the climatic fluctuation and human activities, significant changes of the flood control situation are taking place in China. In the new century, the flood control systems have to face a series of challenges. In this paper, we design fa decision support system (DSS) for flood control based on its requirements. The DSS has been applied to decision-making for flood control in Jiangxi province, and play an important role in the flood control in the recent two years. Finally, we plot the further improvement on the DSS so that it will make more contribution in the flood control.

  7. NKS NordDSS - report from workshop on the use of Decision Support Systems

    Energy Technology Data Exchange (ETDEWEB)

    Dyve, J.E. (Norwegian Radiation Protection Authority (Norway))

    2010-03-15

    Nuclear preparedness and response authorities in the Nordic countries are using decision support systems (DSS) as part of their operational capability. A DSS compile, display and analyse data that makes up the current and future radiological state of an emergency. ARGOS and RODOS are the two most common systems in use in the Nordic region. The aim of of the NordDSS workshop was to gather Nordic and international experts on DSS, and share knowledge and experience. The workshop brought together 22 experts for two days in Copenhagen. (author)

  8. Decision support system for emergency management of oil spill accidents in the Mediterranean Sea

    Science.gov (United States)

    Liubartseva, Svitlana; Coppini, Giovanni; Pinardi, Nadia; De Dominicis, Michela; Lecci, Rita; Turrisi, Giuseppe; Cretì, Sergio; Martinelli, Sara; Agostini, Paola; Marra, Palmalisa; Palermo, Francesco

    2016-08-01

    This paper presents an innovative web-based decision support system to facilitate emergency management in the case of oil spill accidents, called WITOIL (Where Is The Oil). The system can be applied to create a forecast of oil spill events, evaluate uncertainty of the predictions, and calculate hazards based on historical meteo-oceanographic datasets. To compute the oil transport and transformation, WITOIL uses the MEDSLIK-II oil spill model forced by operational meteo-oceanographic services. Results of the modeling are visualized through Google Maps. A special application for Android is designed to provide mobile access for competent authorities, technical and scientific institutions, and citizens.

  9. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success

    Science.gov (United States)

    Kawamoto, Kensaku; Houlihan, Caitlin A; Balas, E Andrew; Lobach, David F

    2005-01-01

    Objective To identify features of clinical decision support systems critical for improving clinical practice. Design Systematic review of randomised controlled trials. Data sources Literature searches via Medline, CINAHL, and the Cochrane Controlled Trials Register up to 2003; and searches of reference lists of included studies and relevant reviews. Study selection Studies had to evaluate the ability of decision support systems to improve clinical practice. Data extraction Studies were assessed for statistically and clinically significant improvement in clinical practice and for the presence of 15 decision support system features whose importance had been repeatedly suggested in the literature. Results Seventy studies were included. Decision support systems significantly improved clinical practice in 68% of trials. Univariate analyses revealed that, for five of the system features, interventions possessing the feature were significantly more likely to improve clinical practice than interventions lacking the feature. Multiple logistic regression analysis identified four features as independent predictors of improved clinical practice: automatic provision of decision support as part of clinician workflow (P < 0.00001), provision of recommendations rather than just assessments (P = 0.0187), provision of decision support at the time and location of decision making (P = 0.0263), and computer based decision support (P = 0.0294). Of 32 systems possessing all four features, 30 (94%) significantly improved clinical practice. Furthermore, direct experimental justification was found for providing periodic performance feedback, sharing recommendations with patients, and requesting documentation of reasons for not following recommendations. Conclusions Several features were closely correlated with decision support systems' ability to improve patient care significantly. Clinicians and other stakeholders should implement clinical decision support systems that incorporate these

  10. Assessing the users’ need for a spatial decision support system of smallholder farming in Kenya

    Directory of Open Access Journals (Sweden)

    Mike Teucher

    2014-12-01

    Full Text Available Accurate data of the natural conditions and agricultural systems with a good spatial resolution are a key factor to tackle food insecurity in developing countries. A broad variety of approaches exists to achieve precise data and information about agriculture. One system, especially developed for smallholder agriculture in East Africa, is the Farm Management Handbook of Kenya. It was first published in 1982/83 and fully revised in 2012, now containing 7 volumes. The handbooks contain detailed information on climate, soils, suitable crops and soil care based on scientific research results of the last 30 years. The density of facts leads to time consuming extraction of all necessary information. In this study we analyse the user needs and necessary components of a system for decision support for smallholder farming in Kenya based on a geographical information system (GIS. Required data sources were identified, as well as essential functions of the system. We analysed the results of our survey conducted in 2012 and early 2013 among agricultural officers. The monitoring of user needs and the problem of non-adaptability of an agricultural information system on the level of extension officers in Kenya are the central objectives. The outcomes of the survey suggest the establishment of a decision support tool based on already available open source GIS components. The system should include functionalities to show general information for a specific location and should provide precise recommendations about suitable crops and management options to support agricultural guidance on farm level.

  11. Intraoperative Clinical Decision Support for Anesthesia: A Narrative Review of Available Systems.

    Science.gov (United States)

    Nair, Bala G; Gabel, Eilon; Hofer, Ira; Schwid, Howard A; Cannesson, Maxime

    2017-02-01

    With increasing adoption of anesthesia information management systems (AIMS), there is growing interest in utilizing AIMS data for intraoperative clinical decision support (CDS). CDS for anesthesia has the potential for improving quality of care, patient safety, billing, and compliance. Intraoperative CDS can range from passive and post hoc systems to active real-time systems that can detect ongoing clinical issues and deviations from best practice care. Real-time CDS holds the most promise because real-time alerts and guidance can drive provider behavior toward evidence-based standardized care during the ongoing case. In this review, we describe the different types of intraoperative CDS systems with specific emphasis on real-time systems. The technical considerations in developing and implementing real-time CDS are systematically covered. This includes the functional modules of a CDS system, development and execution of decision rules, and modalities to alert anesthesia providers concerning clinical issues. We also describe the regulatory aspects that affect development, implementation, and use of intraoperative CDS. Methods and measures to assess the effectiveness of intraoperative CDS are discussed. Last, we outline areas of future development of intraoperative CDS, particularly the possibility of providing predictive and prescriptive decision support.

  12. Multi-agent based decision Support System using Data Mining and Case Based Reasoning

    Directory of Open Access Journals (Sweden)

    S Srinivasan

    2011-07-01

    Full Text Available A knowledge-based society determines organizations to focus their activities on improving management quality by using knowledge. Huge data stores become important once the real significance of data is discovered. Data mining techniques are involved in different knowledge processes, as one can notice in various public applications of the researchers. Managers can use these techniques in order to extract patterns, relations, associations from data initially considered of little value. Over the past decade, case-based reasoning (CBR has emerged as a major research area within the artificial intelligence research field due to both its widespread usage by humans and its appeal as a methodology for building intelligent systems. More recently, there has been a search for new paradigms and directions for increasing the utility of CBR systems for decision support. This paper focuses on the synergism between the research areas of Data Mining, CBR System, Multi-agent System and decision support systems (DSSs. A conceptual framework for DSSs based on MAS using DM and CBRS is presented. Nowadays, intelligent agents represent an important opportunity to optimize knowledge management. The research implications of the evolution in the design of DSS based on MAS using DM and CBR systems from automation toward decision-aiding is also explored.

  13. A decision support system for the management of the water resource system of Athens

    Science.gov (United States)

    Koutsoyiannis, D.; Karavokiros, G.; Efstratiadis, A.; Mamassis, N.; Koukouvinos, A.; Christofides, A.

    The main components of a decision support system (DSS) developed to support the management of the water resource system of Athens are presented. The DSS includes information systems that perform data acquisition, management and visualisation, and models that perform simulation and optimisation of the hydrosystem. The models, which are the focus of the present work, are organised into two main modules. The first one is a stochastic hydrological simulator, which, based on the analysis of historical hydrological data, generates simulations and forecasts of the hydrosystem inputs. The second one allows the detailed study of the hydrosystem under alternative management policies implementing the parameterisation-simulation-optimisation methodology. The mathematical framework of this new methodology performs the allocation of the water resources to the different system components, keeping the number of control variables small and thus reducing the computational effort, even for a complex hydrosystem like the one under study. Multiple, competitive targets and constraints with different priorities can be set, which are concerned among others, with the system reliability and risk, the overall average operational cost and the overall guaranteed yield of the system. The DSS is now in the final stage of its development and its results, some of which are summarised in the paper, have been utilised to support the new masterplan of the hydrosystem management.

  14. EXPERTCHOICE© DECISION SUPPORT SYSTEM IMPLEMENTATION FOR VEHICLE SELECTION IN A COLOMBIAN SHIPYARD

    Directory of Open Access Journals (Sweden)

    JULIAN ANDRES ZAPATA CORTES

    2012-01-01

    Full Text Available El presente artículo muestra la aplicación del sistema de soporte de decisiones ¿ DSS (Decision support systems para la selección de automóviles tipo camionetas en un astillero colombiano. El artículo comienza con una descripción acerca de estos sistemas de soporte de decisión, se analiza la disponibilidad de los mismos en el mercado y finaliza con la aplicación del sistema DSS Expertchoice© para la selección de las camionetas en la empresa de estudio.

  15. Decision support systems for morphology-based diagnosis and prognosis of prostate neoplasms: a methodological approach.

    Science.gov (United States)

    Montironi, Rodolfo; Cheng, Liang; Lopez-Beltran, Antonio; Mazzucchelli, Roberta; Scarpelli, Marina; Bartels, Peter H

    2009-07-01

    Recent advances in computer and information technologies have allowed the integration of both numeric and non-numeric data, that is, descriptive, linguistic terms. This has led at 1 end of the spectrum of technology development to machine vision based on image understanding and, at the other, to decision support systems. This has had a significant impact on our capability to derive diagnostic and prognostic information from histopathological material with prostate neoplasms. Cancer 2009;115(13 suppl):3068-77. (c) 2009 American Cancer Society.

  16. NASA Wrangler: Automated Cloud-Based Data Assembly in the RECOVER Wildfire Decision Support System

    Science.gov (United States)

    Schnase, John; Carroll, Mark; Gill, Roger; Wooten, Margaret; Weber, Keith; Blair, Kindra; May, Jeffrey; Toombs, William

    2017-01-01

    NASA Wrangler is a loosely-coupled, event driven, highly parallel data aggregation service designed to take advantageof the elastic resource capabilities of cloud computing. Wrangler automatically collects Earth observational data, climate model outputs, derived remote sensing data products, and historic biophysical data for pre-, active-, and post-wildfire decision making. It is a core service of the RECOVER decision support system, which is providing rapid-response GIS analytic capabilities to state and local government agencies. Wrangler reduces to minutes the time needed to assemble and deliver crucial wildfire-related data.

  17. Mobile Clinical Decision Support System for Acid-base Balance Diagnosis and Treatment Recommendation.

    Science.gov (United States)

    Mandzuka, Mensur; Begic, Edin; Boskovic, Dusanka; Begic, Zijo; Masic, Izet

    2017-06-01

    This paper presents mobile application implementing a decision support system for acid-base disorder diagnosis and treatment recommendation. The application was developed using the official integrated development environment for the Android platform (to maximize availability and minimize investments in specialized hardware) called Android Studio. The application identifies disorder, based on the blood gas analysis, evaluates whether the disorder has been compensated, and based on additional input related to electrolyte imbalance, provides recommendations for treatment. The application is a tool in the hands of the user, which provides assistance during acid-base disorders treatment. The application will assist the physician in clinical practice and is focused on the treatment in intensive care.

  18. Fuzzy Based Decision Support System for Condition Assessment and Rating of Bridges

    Science.gov (United States)

    Srinivas, Voggu; Sasmal, Saptarshi; Karusala, Ramanjaneyulu

    2016-06-01

    In this work, a knowledge based decision support system has been developed to efficiently handle the issues such as distress diagnosis, assessment of damages and condition rating of existing bridges towards developing an exclusive and robust Bridge Management System (BMS) for sustainable bridges. The Knowledge Based Expert System (KBES) diagnoses the distresses and finds the cause of distress in the bridge by processing the data which are heuristic and combined with site inspection results, laboratory test results etc. The coupling of symbolic and numeric type of data has been successfully implemented in the expert system to strengthen its decision making process. Finally, the condition rating of the bridge is carried out using the assessment results obtained from the KBES and the information received from the bridge inspector. A systematic procedure has been developed using fuzzy mathematics for condition rating of bridges by combining the fuzzy weighted average and resolution identity technique. The proposed methodologies and the decision support system will facilitate in developing a robust and exclusive BMS for a network of bridges across the country and allow the bridge engineers and decision makers to carry out maintenance of bridges in a rational and systematic way.

  19. Fuzzy Based Decision Support System for Condition Assessment and Rating of Bridges

    Science.gov (United States)

    Srinivas, Voggu; Sasmal, Saptarshi; Karusala, Ramanjaneyulu

    2016-09-01

    In this work, a knowledge based decision support system has been developed to efficiently handle the issues such as distress diagnosis, assessment of damages and condition rating of existing bridges towards developing an exclusive and robust Bridge Management System (BMS) for sustainable bridges. The Knowledge Based Expert System (KBES) diagnoses the distresses and finds the cause of distress in the bridge by processing the data which are heuristic and combined with site inspection results, laboratory test results etc. The coupling of symbolic and numeric type of data has been successfully implemented in the expert system to strengthen its decision making process. Finally, the condition rating of the bridge is carried out using the assessment results obtained from the KBES and the information received from the bridge inspector. A systematic procedure has been developed using fuzzy mathematics for condition rating of bridges by combining the fuzzy weighted average and resolution identity technique. The proposed methodologies and the decision support system will facilitate in developing a robust and exclusive BMS for a network of bridges across the country and allow the bridge engineers and decision makers to carry out maintenance of bridges in a rational and systematic way.

  20. Development of a growth model-based decision support system for crop management

    Institute of Scientific and Technical Information of China (English)

    ZHU Yan; TANG Liang; LIU Xiaojun; TIAN Yongchao; YAO Xia; CAO Weixing

    2007-01-01

    A growth model-based decision support system for crop management (GMDSSCM) was developed,which integrates process-based models of four different crops-wheat,rice,rape and cotton-and realized decision support function,thus facilitating the simulation and application of the crop models for different purposes.The individual models include six sub models for simulating phase development,organ formation,biomass production,yield and quality formation,soil-crop water relations and nutrient (N,P,K)balance.The implemented system can be used for evaluating individual and comprehensive management strategies based on the results of crop growth simulation under various environments and different genotypes.A stand-alone edition (GMDSSCMA) was established on VC++ and VB platforms by adopting the characteristics of object-oriented and component-based software and with the effective integration and coupling of the growth prediction and decision-making functions.A web-based system (GMDSSCMw) was then further developed on the .net platform using C# language.These GMDSSCM systems have realized dynamic prediction of crop growth and decision making on cultural management,and thus should be helpful for the construction and application of informational and digital fanning system.

  1. A decision-support system for sustainable urban metabolism in Europe

    Energy Technology Data Exchange (ETDEWEB)

    Gonzalez, Ainhoa, E-mail: ainhoag@yahoo.com [Trinity Centre for Biodiversity Research, School of Natural Sciences, Trinity College Dublin, College Green, Dublin 2 (Ireland); Donnelly, Alison, E-mail: donnelac@tcd.ie [Centre for the Environment, School of Natural Sciences, Trinity College Dublin (Ireland); Jones, Mike, E-mail: mike.jones@tcd.ie [Discipline of Botany, School of Natural Sciences, Trinity College Dublin (Ireland); Chrysoulakis, Nektarios, E-mail: zedd2@iacm.forth.gr [Foundation for Research and Technology-Hellas, Institute of Applied and Computational Mathematics (Greece); Lopes, Myriam, E-mail: myr@ua.pt [Departamento de Ambiente e Ordenamento and CESAM, University of Aveiro (Portugal)

    2013-01-15

    Urban metabolism components define the energy and material exchanges within a city and, therefore, can provide valuable information on the environmental quality of urban areas. Assessing the potential impact of urban planning alternatives on urban metabolism components (such as energy, water, carbon and pollutants fluxes) can provide a quantitative estimation of their sustainability performance. Urban metabolism impact assessment can, therefore, contribute to the identification of sustainable urban structures with regards, for example, to building types, materials and layout, as well as to location and capacity of transportation and infrastructural developments. In this way, it enables the formulation of planning and policy recommendations to promote efficient use of resources and enhance environmental quality in urban areas. The European FP7 project BRIDGE (sustainaBle uRban plannIng Decision support accountinG for urban mEtabolism) has developed a decision-support system (DSS) that systematically integrates urban metabolism components into impact assessment processes with the aim of accurately quantifying the potential effects of proposed planning interventions. The DSS enables integration of multiple spatial and non-spatial datasets (e.g. physical flows of energy and material with variables of social and economic change) in a systematic manner to obtain spatially defined assessment results and to thus inform planners and decision-makers. This multi-criteria approach also enables incorporation of stakeholders' perceptions in order to prioritise decisive assessment criteria. This paper describes the methodological framework used to develop the DSS and critically examines the results of its practical application in five European cities. - Highlights: Black-Right-Pointing-Pointer Urban metabolism in sustainability assessment of planning alternatives. Black-Right-Pointing-Pointer European FP7 project applied to 5 real life case studies across Europe. Black

  2. Adapted Framework for Data Mining Technique to Improve Decision Support System in an Uncertain Situation

    Directory of Open Access Journals (Sweden)

    Ahmed Bahgat El Seddawy

    2012-05-01

    Full Text Available Decision Support System (DSS is equivalent synonym as management information systems (MIS. Most of imported data are being used in solutions like data mining (DM. Decision supporting systems include also decisions made upon individual data from external sources, management feeling, and various other data sources not included in business intelligence. Successfully supporting managerial decision-making is critically dependent upon the availability of integrated, high quality information organized and presented in a timely and easily understood manner. Data mining have emerged to meet this need. They serve as anintegrated repository for internal and external data-intelligence critical to understanding and evaluating the business within its environmental context. With the addition of models, analytic tools, and user interfaces, they have the potential to provide actionable information that supports effective problem and opportunity identification, critical decision-making, and strategy formulation, implementation, and evaluation. The proposed system will support top level management to make a good decision in any time under any uncertain environment.

  3. Adapted Framework for Data Mining Technique to Improve Decision Support System in an Uncertain Situation

    Directory of Open Access Journals (Sweden)

    hmed Bahgat El Seddawy

    2012-09-01

    Full Text Available Decision Support System (DSS is equivalent synonym as management information systems (MIS. Most of imported data are being used in solutions like data mining (DM. Decision supporting systems include also decisions made upon individual data from external sources, management feeling, and various other data sources not included in business intelligence. Successfully supporting managerial decision-making is critically dependent upon the availability of integrated, high quality information organized and presented in a timely and easily understood manner. Data mining have emerged to meet this need. They serve as anintegrated repository for internal and external data-intelligence critical to understanding and evaluating the business within its environmental context. With the addition of models, analytic tools, and user interfaces, they have the potential to provide actionable information that supports effective problem and opportunity identification, critical decision-making, and strategy formulation, implementation, and evaluation. The proposed system will support top level management to make a good decision in any time under any uncertain environment.

  4. The Integrated Medical Model: A Risk Assessment and Decision Support Tool for Space Flight Medical Systems

    Science.gov (United States)

    Kerstman, Eric; Minard, Charles; Saile, Lynn; deCarvalho, Mary Freire; Myers, Jerry; Walton, Marlei; Butler, Douglas; Iyengar, Sriram; Johnson-Throop, Kathy; Baumann, David

    2009-01-01

    The Integrated Medical Model (IMM) is a decision support tool that is useful to mission planners and medical system designers in assessing risks and designing medical systems for space flight missions. The IMM provides an evidence based approach for optimizing medical resources and minimizing risks within space flight operational constraints. The mathematical relationships among mission and crew profiles, medical condition incidence data, in-flight medical resources, potential crew functional impairments, and clinical end-states are established to determine probable mission outcomes. Stochastic computational methods are used to forecast probability distributions of crew health and medical resource utilization, as well as estimates of medical evacuation and loss of crew life. The IMM has been used in support of the International Space Station (ISS) medical kit redesign, the medical component of the ISS Probabilistic Risk Assessment, and the development of the Constellation Medical Conditions List. The IMM also will be used to refine medical requirements for the Constellation program. The IMM outputs for ISS and Constellation design reference missions will be presented to demonstrate the potential of the IMM in assessing risks, planning missions, and designing medical systems. The implementation of the IMM verification and validation plan will be reviewed. Additional planned capabilities of the IMM, including optimization techniques and the inclusion of a mission timeline, will be discussed. Given the space flight constraints of mass, volume, and crew medical training, the IMM is a valuable risk assessment and decision support tool for medical system design and mission planning.

  5. Group Decision Support System Determination Of Best Employee Using Topsis And Borda

    Directory of Open Access Journals (Sweden)

    Made Arya Budhi

    2017-07-01

    Full Text Available Determining the best employee at Lombok Garden inteded to stimulate the performance of the hotel employees Lombok Garden. Improved performance of employees it will have a direct effect on the quality of hotel services. Employee performance appraisement are conducted by six assessors, namely the head of each department and consists of several criteria. Assessments will be difficult if done manually considering each appraiser has its own preferences in assessment. To solve that problem, we need a computer system that helps decision-making is a group decision support system (GDSS determination of the best employees in the hotel Lombok Garden.Group decision support system developed in this study using TOPSIS (Technique For Order Preference By Similiarity To Ideal Solution and Borda to assist decision-making group. TOPSIS method is used for decision-making in each appraiser, while the Borda method used to combine the results of each assessor's decision so as to obtain the final result of the best employees in Lombok Garden.Based on the final result of the system of determination of the best employees in the form of a ranking of the final value of each employee. The highest value will be used as a recommendation as the best employee at Lombok Garden.

  6. Biomass storage, decision support systems, and expert systems in crop production and processing

    Energy Technology Data Exchange (ETDEWEB)

    Smith, R.D.

    1985-01-01

    Agricultural production depends on obtaining and efficiently using the necessary resources. Producers must have access to information that will allow them to select among alternative resource inputs and farming practices. This dissertation covers research into the storage of alternative biomass energy crops and the progression into developing integrated, interactive computer based information systems to support agricultural decisions. Biomass could be a significant source of energy and industrial feedstocks. Storing moist biomass between harvest and conversion can lead to degradation and loss of the material. Data on the storage characteristics of corn cobs and corn silage was obtained over two seasons. The results of studies on corn cob storage in outside piles indicated that up to 33% of the available energy and 43% of the available pentosans were lost during 18 months storage. Studies of corn silage preservation showed that 0.5% sulfur dioxide effectively reduced losses of water soluble sugars. The storage research indicated that integrated biomass energy systems with the conversion of silages to ethanol and utilizing crop residues for heat are feasible. The development of decision support systems (DDS) and expert systems (ES) offers great potential for effective transfer of technology from researchers to farmers. A crop planning DSS was constructed on an integrated spreadsheet framework with interactive screen inputs and numerical and graphical outputs.

  7. The generalized architecture of the decision support system on the basis of Business Intelligence in an equitable construction

    OpenAIRE

    Круковський, Ігор Анатолійович

    2016-01-01

    On the basis of retrospective analysis of Business Intelligence the generalized architecture of the Decision Support System, marked as DSS ВІ 2.0 (Decision Support System, Business Intelligence 2.0) has been worked out. Its differs in including of facilities from Text Mining and programmatic agents with the functions of expertmini systems; by the selection of subsystems of complex visualization; including of facilities of making videos; possibility of adaptation of module architecture in acco...

  8. An Integrated Decision Support System for Water Quality Management of Songhua River Basin

    Science.gov (United States)

    Zhang, Haiping; Yin, Qiuxiao; Chen, Ling

    2010-11-01

    In the Songhua River Basin of China, many water resource and water environment conflicts interact. A Decision Support System (DSS) for the water quality management has been established for the Basin. The System is featured by the incorporation of a numerical water quality model system into a conventional water quality management system which usually consists of geographic information system (GIS), WebGIS technology, database system and network technology. The model system is built based on DHI MIKE software comprising of a basin rainfall-runoff module, a basin pollution load evaluation module, a river hydrodynamic module and a river water quality module. The DSS provides a friendly graphical user interface that enables the rapid and transparent calculation of various water quality management scenarios, and also enables the convenient access and interpretation of the modeling results to assist the decision-making.

  9. Coordinated management of combined sewer overflows by means of environmental decision support systems.

    Science.gov (United States)

    Murla, Damian; Gutierrez, Oriol; Martinez, Montse; Suñer, David; Malgrat, Pere; Poch, Manel

    2016-04-15

    During heavy rainfall, the capacity of sewer systems and wastewater treatment plants may be surcharged producing uncontrolled wastewater discharges and a depletion of the environmental quality. Therefore there is a need of advanced management tools to tackle with these complex problems. In this paper an environmental decision support system (EDSS), based on the integration of mathematical modeling and knowledge-based systems, has been developed for the coordinated management of urban wastewater systems (UWS) to control and minimize uncontrolled wastewater spills. Effectiveness of the EDSS has been tested in a specially designed virtual UWS, including two sewers systems, two WWTP and one river subjected to typical Mediterranean rain conditions. Results show that sewer systems, retention tanks and wastewater treatment plants improve their performance under wet weather conditions and that EDSS can be very effective tools to improve the management and prevent the system from possible uncontrolled wastewater discharges.

  10. Development of a Prototype Web-Based Decision Support System for Watershed Management

    Directory of Open Access Journals (Sweden)

    Dejian Zhang

    2015-02-01

    Full Text Available Using distributed hydrological models to evaluate the effectiveness of reducing non-point source pollution by applying best management practices (BMPs is an important support to decision making for watershed management. However, complex interfaces and time-consuming simulations of the models have largely hindered the applications of these models. We designed and developed a prototype web-based decision support system for watershed management (DSS-WMRJ, which is user friendly and supports quasi-real-time decision making. DSS-WMRJ is based on integrating an open-source Web-based Geographical Information Systems (Web GIS tool (Geoserver, a modeling component (SWAT, Soil and Water Assessment Tool, a cloud computing platform (Hadoop and other open source components and libraries. In addition, a private cloud is used in an innovative manner to parallelize model simulations, which are time consuming and computationally costly. Then, the prototype DSS-WMRJ was tested with a case study. Successful implementation and testing of the prototype DSS-WMRJ lay a good foundation to develop DSS-WMRJ into a fully-fledged tool for watershed management. DSS-WMRJ can be easily customized for use in other watersheds and is valuable for constructing other environmental decision support systems, because of its performance, flexibility, scalability and economy.

  11. A CommonKADS Model Framework for Web Based Agricultural Decision Support System

    Directory of Open Access Journals (Sweden)

    Jignesh Patel

    2015-01-01

    Full Text Available Increased demand of farm products and depletion of natural resources compel the agriculture community to increase the use of Information and Communication Technology (ICT in various farming processes. Agricultural Decision Support Systems (DSS proved useful in this regard. The majority of available Agricultural DSSs are either crop or task specific. Less emphasis has been placed on the development of comprehensive DSS, which are non-specific regarding crops or farming processes. The crop or task specific DSSs are mainly developed with rule based or knowledge transfer based approaches. The DSSs based on these methodologies lack the ability for scaling up and generalization. The Knowledge engineering modeling approach is more suitable for the development of large and generalized DSS. Unfortunately the model based knowledge engineering approach is not much exploited for the development of Agricultural DSS. CommonKADS is one of the popular modeling frameworks used for the development of Knowledge Based System (KBS. The paper presents the organization, agent, task, communication, knowledge and design models based on the CommonKADS approach for the development of scalable Agricultural DSS. A specific web based DSS application is used for demonstrating the multi agent CommonKADS modeling approach. The system offers decision support for irrigation scheduling and weather based disease forecasting for the popular crops of India. The proposed framework along with the required expert knowledge, provides a platform on which the larger DSS can be built for any crop at a given location.

  12. Structural and functional design of WWTP operation decision support system with a case study.

    Science.gov (United States)

    Xu, J; Shi, H C; Ke, X Y

    2006-01-01

    This paper developes the WWTP operation decision support system (ODSS) to simulate the dynamic behavior of the WWTP treatment process based on ASMs (activated sludge models) and WWTP experiential knowledge. The novel structure and functions of ODSS can offer more flexible and general instructions to the WWTP operations. The three independent sub-systems, namely expert system, simulation system and training system, can cooperate to achieve many more functions such as operation alert, fault diagnosis, process simulation and so forth. The expert system based on the dynamic simulation, an essential part of WWTP ODSS, has been proved to be feasible and effective by the implementation at Fang Zhuang WWTP. Our results indicated that the WWTP ODSS has significant potential for improving plant performance and reducing treatment costs by assisting the operators at the decision-making level.

  13. Study on the construction of Guangdong coastal zone sustainable development decision support system

    Science.gov (United States)

    Xiong, Yong-zhu; Zhang, Mei-ying; Xia, Bin; Zhang, Zheng-dong

    2008-10-01

    Coastal zones in Guangdong province are increasingly facing an ecological, economic and social pressure due to the increasing economic utilization and human activities in these regions worldwide, which is threatening the sustainable development of human being. How to take effective measurements and adopt integrated management to ensure sustainable development in these areas is ever becoming a focus that attracts close attentions to the governmental and academic sectors recently. It is important to resolve the problem to establish an advanced decision support system for the coastal zone sustainable development to help scientific decision-making and carry out integrated coastal zone management. This paper mainly introduces the general framework of Guangdong coastal zone sustainable development decision support system (GDCZSDDSS), including its requirements, general objectives, function and structure, and key technologies etc. After expounding the basic concept and requirements of GDCZSDDSS, the paper discusses generally the three-tier architecture and six kinds of functional modules, and lays a particular emphasis on the crucial role of such key technologies as GIS, RS and GPS (3S), spatial metadata and data warehouse etc., and discusses the methods of the GCZSDDSS integration, which aims at offering a whole solution for realization of the GCZSDDSS ultimately.

  14. A Decision Support System to Compare the Transportation Modes in Logistics

    Directory of Open Access Journals (Sweden)

    Eren Özceylan

    2010-06-01

    Full Text Available The selection of an optimal transportation mode is one of the most important factors in supply chain and logistic planning. Furthermore, the selection transportation mode is a complex, multi-criteria decision problem. The decision makers have to face and take attention with a lot of criteria; such as cost, quality, delivery time, safety, accessibility and etc while choosing the best mode. Under these criteria, there must be a selection between motorway, seaway, airway, pipeline, railway and also intermodal modes. Selection the transportation mode is very promising issue because it affects about 60-65 % of total logistic cake. There are some techniques which can be heuristics and logical approaches are used to reach the best option. The analytical hierarchy process (AHP which is one of the mathematical methods can be very useful in involving several decision makers with different conflicting objectives to arrive at a consensus decision. In this paper, the selection of an optimal transportation mode using an AHP-based model was evaluated for logistic activities. To solve this transportation mode selection problem, we developed a decision support system based AHP. By using the developed decision support system, the best transportation modes is determined and discussed.

  15. A Knowledge Model- and Growth Model-Based Decision Support System for Wheat Management

    Institute of Scientific and Technical Information of China (English)

    ZHU Yan; CAO Wei-xing; WANG Qi-meng; TIAN Yong-chao; PAN Jie

    2003-01-01

    By applying the system analysis principle and mathematical modeling technique to knowledge expression system for crop cultural management, the fundamental relationships and quantitative algorithms of wheat growth and management indices to variety types, ecological environments and production levels were analysed and extracted, and a dynamic knowledge model with temporal and spatial characters for wheat management (WheatKnow) was developed. By adopting the soft component characteristics as non language rele vance, re-utilization and portable system maintenance, and by further integrating the wheat growth simulation model (WheatGrow) and intelligent system for wheat management, a comprehensive and digital knowledge model, growth model and component-based decision support system for wheat management (MBDSSWM) was established on the platforms of Visual C++ and Visual Basic. The MBDSSWM realized the effective integration and coupling of the prediction and decision-making functions for digital crop management.

  16. Examination of decision support systems for composite CBA & MCDA assessments of transport infrastructure projects

    DEFF Research Database (Denmark)

    Barfod, Michael Bruhn; Jensen, Anders Vestergaard; Leleur, Steen

    This paper examines decision support systems (DSS) for composite appraisals of transport infrastructure projects comprising both cost-benefit analysis (CBA) and multi-criteria analysis (MCA). Two DSS are in this context examined and compared using a case study dealing with alternatives for a new...... high-speed railway line between the two cities, Norrköping and Bäckeby, in Sweden. Both systems are based on additive value functions and makes use of pair wise comparisons. The first system examined, which is widely used and based on acknowledged methods, comprises the REMBRANDT technique using pair...... of the examination and comparison of the two systems is to determine which is the most appropriate for conducting composite appraisals of transport infrastructure projects. The first system provides a conventional widely used and theoretical well founded framework. The COSIMA framework is founded on a somewhat...

  17. Decision support system based on DPSIR framework for a low flow Mediterranean river basin

    Science.gov (United States)

    Bangash, Rubab Fatima; Kumar, Vikas; Schuhmacher, Marta

    2013-04-01

    The application of decision making practices are effectively enhanced by adopting a procedural approach setting out a general methodological framework within which specific methods, models and tools can be integrated. Integrated Catchment Management is a process that recognizes the river catchment as a basic organizing unit for understanding and managing ecosystem process. Decision support system becomes more complex by considering unavoidable human activities within a catchment that are motivated by multiple and often competing criteria and/or constraints. DPSIR is a causal framework for describing the interactions between society and the environment. This framework has been adopted by the European Environment Agency and the components of this model are: Driving forces, Pressures, States, Impacts and Responses. The proposed decision support system is a two step framework based on DPSIR. Considering first three component of DPSIR, Driving forces, Pressures and States, hydrological and ecosystem services models are developed. The last two components, Impact and Responses, helped to develop Bayesian Network to integrate the models. This decision support system also takes account of social, economic and environmental aspects. A small river of Catalonia (Northeastern Spain), Francoli River with a low flow (~2 m3/s) is selected for integration of catchment assessment models and to improve knowledge transfer from research to the stakeholders with a view to improve decision making process. DHI's MIKE BASIN software is used to evaluate the low-flow Francolí River with respect to the water bodies' characteristics and also to assess the impact of human activities aiming to achieve good water status for all waters to comply with the WFD's River Basin Management Plan. Based on ArcGIS, MIKE BASIN is a versatile decision support tool that provides a simple and powerful framework for managers and stakeholders to address multisectoral allocation and environmental issues in river

  18. Diverting the tourists: a spatial decision-support system for tourism planning on a developing island

    Science.gov (United States)

    Beedasy, Jaishree; Whyatt, Duncan

    Mauritius is a small island (1865 km 2) in the Indian Ocean. Tourism is the third largest economic sector of the country, after manufacturing and agriculture. A limitation of space and the island's vulnerable ecosystem warrants a rational approach to tourism development. The main problems so far have been to manipulate and integrate all the factors affecting tourism planning and to match spatial data with their relevant attributes. A Spatial Decision Support System (SDSS) for sustainable tourism planning is therefore proposed. The proposed SDSS design would include a GIS as its core component. A first GIS model has already been constructed with available data. Supporting decision-making in a spatial context is implicit in the use of GIS. However the analytical capability of the GIS has to be enhanced to solve semi-structured problems, where subjective judgements come into play. The second part of the paper deals with the choice, implementation and customisation of a relevant model to develop a specialised SDSS. Different types of models and techniques are discussed, in particular a comparison of compensatory and non-compensatory approaches to multicriteria evaluation (MCE). It is concluded that compensatory multicriteria evaluation techniques increase the scope of the present GIS model as a decision-support tool. This approach gives the user or decision-maker the flexibility to change the importance of each criterion depending on relevant objectives.

  19. An engineering approach to modelling, decision support and control for sustainable systems.

    Science.gov (United States)

    Day, W; Audsley, E; Frost, A R

    2008-02-12

    Engineering research and development contributes to the advance of sustainable agriculture both through innovative methods to manage and control processes, and through quantitative understanding of the operation of practical agricultural systems using decision models. This paper describes how an engineering approach, drawing on mathematical models of systems and processes, contributes new methods that support decision making at all levels from strategy and planning to tactics and real-time control. The ability to describe the system or process by a simple and robust mathematical model is critical, and the outputs range from guidance to policy makers on strategic decisions relating to land use, through intelligent decision support to farmers and on to real-time engineering control of specific processes. Precision in decision making leads to decreased use of inputs, less environmental emissions and enhanced profitability-all essential to sustainable systems.

  20. Disaster Reduction Decision Support System Against Debris Flows and Landslides Along Highway in Mountainous Area

    Institute of Scientific and Technical Information of China (English)

    LiFa-bin; WeiFang-qiang; CuiPeng; ZhouWan-cun

    2003-01-01

    Highways in mountainous areas are easy to be damaged by such natural disasters as debris flows and landslides and disaster reduction decision support system (DRDSS) is one of the important means to mitigate these disasters. Guided by the theories and technologies of debris flow and landslide reduction and supported by geographical information system (GIS), remote sensing and database techniques, a DRDSS against debris flow and landslide along highways in mountainous areas has been established on the basis of such principles as pertinence, systematicness, effectiveness, easy to use, open and expandability. The system consists of database, disaster analysis models and decisions on reduction of debris flows and landslides, mainly functioning to zone disaster dangerous degree, analyze debris flow activity,simulate debris flow deposition and diffusion, analyze landslide stability, select optimal highway renovation scheme and plan disaster prevention and control engineering. This system has been applied successfully to the debris flow and landslide treatment works along Palongzangbu Section of Siehuan-Tibet Highway.

  1. Disaster Reduction Decision Support System Against Debris Flows and Landslides Along Highway in Mountainous Area

    Institute of Scientific and Technical Information of China (English)

    Li Fa-bin; Wei Fang-qiang; Cui Peng; Zhou Wan-cun

    2003-01-01

    Highways in mountainous areas are easy to be damaged by such natural disasters as debris flows and landslides and disaster reduction decision support system (DRDSS) is one of the important means to mitigate these disasters. Guided by the theories and technologies of debris flow and landslide reduction and supported by geographical information system (GIS), remote sensing and database techniques, a DRDSS against debris flow and landslide along highways in mountainous areas has been established on the basis of such principles as pertinence, systematicness, effectiveness, easy to use, open and expandability. The system consists of database, disaster analysis models and decisions on reduction of debris flows and landslides, mainly functioning to zone disaster dangerous degree, analyze debris flow activity,simulate debris flow deposition and diffusion, analyze landslide stability, select optimal highway renovation scheme and plan disaster prevention and control ergineering. This system has been applied successfully to the debris flow and landslide treatment works along Palongzangbu Section of Sichuan-Tibet Highway.

  2. Development of the Model of Decision Support for Alternative Choice in the Transportation Transit System

    Directory of Open Access Journals (Sweden)

    Kabashkin Igor

    2015-02-01

    Full Text Available The decision support system is one of the instruments for choosing the most effective decision for cargo owner in constant fluctuated business environment. The objective of this Paper is to suggest the multiple-criteria approach for evaluation and choice the alternatives of cargo transportation in the large scale transportation transit system for the decision makers - cargo owners. The large scale transportation transit system is presented by directed finite graph. Each of 57 alternatives is represented by the set of key performance indicators Kvi and set of parameters Paj. There has been developed a two-level hierarchy system of criteria with ranging expert evaluations based on Analytic Hierarchy Process Method. The best alternatives were suggested according to this method.

  3. Automatic decision support system based on SAR data for oil spill detection

    Science.gov (United States)

    Mera, David; Cotos, José M.; Varela-Pet, José; Rodríguez, Pablo G.; Caro, Andrés

    2014-11-01

    Global trade is mainly supported by maritime transport, which generates important pollution problems. Thus, effective surveillance and intervention means are necessary to ensure proper response to environmental emergencies. Synthetic Aperture Radar (SAR) has been established as a useful tool for detecting hydrocarbon spillages on the oceans surface. Several decision support systems have been based on this technology. This paper presents an automatic oil spill detection system based on SAR data which was developed on the basis of confirmed spillages and it was adapted to an important international shipping route off the Galician coast (northwest Iberian Peninsula). The system was supported by an adaptive segmentation process based on wind data as well as a shape oriented characterization algorithm. Moreover, two classifiers were developed and compared. Thus, image testing revealed up to 95.1% candidate labeling accuracy. Shared-memory parallel programming techniques were used to develop algorithms in order to improve above 25% of the system processing time.

  4. Evaluation of SOVAT: an OLAP-GIS decision support system for community health assessment data analysis.

    Science.gov (United States)

    Scotch, Matthew; Parmanto, Bambang; Monaco, Valerie

    2008-06-09

    Data analysis in community health assessment (CHA) involves the collection, integration, and analysis of large numerical and spatial data sets in order to identify health priorities. Geographic Information Systems (GIS) enable for management and analysis using spatial data, but have limitations in performing analysis of numerical data because of its traditional database architecture.On-Line Analytical Processing (OLAP) is a multidimensional datawarehouse designed to facilitate querying of large numerical data. Coupling the spatial capabilities of GIS with the numerical analysis of OLAP, might enhance CHA data analysis. OLAP-GIS systems have been developed by university researchers and corporations, yet their potential for CHA data analysis is not well understood. To evaluate the potential of an OLAP-GIS decision support system for CHA problem solving, we compared OLAP-GIS to the standard information technology (IT) currently used by many public health professionals. SOVAT, an OLAP-GIS decision support system developed at the University of Pittsburgh, was compared against current IT for data analysis for CHA. For this study, current IT was considered the combined use of SPSS and GIS ("SPSS-GIS"). Graduate students, researchers, and faculty in the health sciences at the University of Pittsburgh were recruited. Each round consisted of: an instructional video of the system being evaluated, two practice tasks, five assessment tasks, and one post-study questionnaire. Objective and subjective measurement included: task completion time, success in answering the tasks, and system satisfaction. Thirteen individuals participated. Inferential statistics were analyzed using linear mixed model analysis. SOVAT was statistically significant (alpha = .01) from SPSS-GIS for satisfaction and time (p < .002). Descriptive results indicated that participants had greater success in answering the tasks when using SOVAT as compared to SPSS-GIS. Using SOVAT, tasks were completed more

  5. Psychotherapy treatment decisions supported by SelectCare

    NARCIS (Netherlands)

    Witteman, C.L.M.

    2008-01-01

    SelectCare is a computerized decision support system for psychotherapists who decide how to treat their depressed patients. This paper descibes the decision making model that is implemented in SelectCare and the decision elements it uses to give advice to its users. The system itself is then present

  6. Psychotherapy treatment decisions supported by SelectCare

    NARCIS (Netherlands)

    Witteman, C.L.M.

    SelectCare is a computerized decision support system for psychotherapists who decide how to treat their depressed patients. This paper descibes the decision making model that is implemented in SelectCare and the decision elements it uses to give advice to its users. The system itself is then

  7. Analysis and design of a web-based decision support system for choosing higher education studies

    Directory of Open Access Journals (Sweden)

    Kostoglou Vassilis

    2014-01-01

    Full Text Available The vocational orientation of the youngsters who are about to enter, study, or have recently graduated at higher education (HE institutions, and linking HE with labor market are two research areas which have not been investigated extensively in Balkan countries. Job (or occupational profiles, among other tools used in vocational orientation, provide standardized and digitized descriptions of different professions. This article focuses on the analysis and the design of a web-based decision support system (DSS to assist its users in getting thoroughly informed about HE studies in Greece, and eventually in choosing their vocational prospects. Apart from reviewing the related previous research work and relevant web-based systems, we present the main elements of the system’s analysis and its design, the extensions that could lead to even more powerful systems, and conclusions about the advantages, limitations and practical application of the DSS.

  8. Design of a Multi-mode Flight Deck Decision Support System for Airborne Conflict Management

    Science.gov (United States)

    Barhydt, Richard; Krishnamurthy, Karthik

    2004-01-01

    NASA Langley has developed a multi-mode decision support system for pilots operating in a Distributed Air-Ground Traffic Management (DAG-TM) environment. An Autonomous Operations Planner (AOP) assists pilots in performing separation assurance functions, including conflict detection, prevention, and resolution. Ongoing AOP design has been based on a comprehensive human factors analysis and evaluation results from previous human-in-the-loop experiments with airline pilot test subjects. AOP considers complex flight mode interactions and provides flight guidance to pilots consistent with the current aircraft control state. Pilots communicate goals to AOP by setting system preferences and actively probing potential trajectories for conflicts. To minimize training requirements and improve operational use, AOP design leverages existing alerting philosophies, displays, and crew interfaces common on commercial aircraft. Future work will consider trajectory prediction uncertainties, integration with the TCAS collision avoidance system, and will incorporate enhancements based on an upcoming air-ground coordination experiment.

  9. BIM-Based Decision Support System for Material Selection Based on Supplier Rating

    Directory of Open Access Journals (Sweden)

    Abiola Akanmu

    2015-12-01

    Full Text Available Material selection is a delicate process, typically hinged on a number of factors which can be either cost or environmental related. This process becomes more complicated when designers are faced with several material options of building elements and each option can be supplied by different suppliers whose selection criteria may affect the budgetary and environmental requirements of the project. This paper presents the development of a decision support system based on the integration of building information models, a modified harmony search algorithm and supplier performance rating. The system is capable of producing the cost and environmental implications of different material combinations or building designs. A case study is presented to illustrate the functionality of the developed system.

  10. Four Principles for User Interface Design of Computerised Clinical Decision Support Systems

    DEFF Research Database (Denmark)

    Kanstrup, Anne Marie; Christiansen, Marion Berg; Nøhr, Christian

    2011-01-01

    Abstract.  The paper presents results from design of a user interface for a Computerised Clinical Decision Support System (CSSS). The ambition has been to design Human-Computer Interaction that can minimise medication errors. Through an iterative design process a digital prototype for prescription...... emphasises a focus on how users interact with the system, a focus on how information is provided by the system, and four principles of interaction. The four principles for design of user interfaces for CDSS are summarised as four A’s: All in one, At a glance, At hand and Attention. It is recommended that all...... four interaction principles are integrated in the design of user interfaces for CDSS, i.e. the model is an integrated model which we suggest as a guide for interaction design when working with preventing medication errors....

  11. Analysis and Study of Parallel Processing Mode in VLDB Decision Support System

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    Nowadays, many kinds of computer network data management systems have been built widely in China. People have realized widely that management information system (MIS) has brought a revolution to the management mechanism. Moreover, the managers of company need wide-range and comprehensive decision information more and more urgently which is the character of information explosion era. The needs of users become harsher and harsher in the design of MIS, and these needs have brought new problems to the general designers of MIS. Furthermore, the current method of traditional database development can't solve so big and complex problems of wide-range and comprehensive information processing. This paper proposes the adoption of parallel processing mode, the built of new decision support system (DSS) is to discuss and analyze the problems of information collection, processing and the acquirement of full-merit information with cross-domain and cross-VLDB (very-large database).

  12. A decision support system for quantitative measurement of operational efficiency in a blood collection facility.

    Science.gov (United States)

    Kros, John F; Yim Pang, Robyn

    2004-04-01

    A decision support system (DSS) is presented that allows users to input, analyze, and output data derived from blood banking operations. The DSS developed is a hybrid system that is both data and model driven. The system provides information, models, and data manipulation tools to assist users in the quantitative measurement of the operational efficiency in a blood collection facility. A relational database was developed to address the four major variables, which impact the cost per unit of blood being collected. Using visual basic, a user interface and mathematical model were developed establishing the relationships to analyze cost per unit of collected blood. Using inputs from users and historical financial data, the DSS calculates the cost per unit as each of the major variables is altered. Real life situations by the mobile operations team at a blood collection facility were used to test the DSS.

  13. A Decision Support System for Construction Projects Based on Standardized Exchanged Documents

    Institute of Scientific and Technical Information of China (English)

    MA Zhiliang; LU Ning; GU Weihua

    2008-01-01

    Large amounts of documents are exchanged during the construction phase of projects, which covers the important management information. To utilize the exchanged documents to support decision-making of the management staffs, the requirement analysis was carried out based on the interviews to the practitioners. A decision support system called Explyzer+ was developed based on the previous prototype system Explyzer. The latter was enhanced by adding the functions to automate the whole process and the techniques of data mining including decision tree analysis and clustering analysis. A case study for in-depth information analysis was conducted based on the data obtained from a large construction project to demon-strate its feasibility and effectiveness. The system could effectively assist the management staffs to carry out in-depth information analysis for decision-making in construction projects.

  14. Principles of Creating Data Warehouses in Decision Support Systems of Railway Transport

    Science.gov (United States)

    Kopytov, Eugene; Demidovs, Vasilijs; Petoukhova, Natalia

    2004-08-01

    The basic aspect of operation of any transport company is connected with the freight and passenger traffic. Any mistakes in the planning of any transportation process result in a considerable decrease of the efficiency of a company's operation and of the quality of customers' service. The search of the effective solutions of the future system functioning on the railway should be based on the forecast of a great number of economic, social and technical characteristics of transport processes. For this purpose it is necessary to create up-to-date Data Warehouse, which can store large amounts of information to be used for prediction. The questions of reliability and completeness of source data as well as the account of their temporal nature and the possibility of their flexible usage present the foreground of such systems. The present paper presents a new approach to creating Data Warehouses in the Decision Support Systems.

  15. Enabling active and healthy ageing decision support systems with the smart collection of TV usage patterns.

    Science.gov (United States)

    Billis, Antonis S; Batziakas, Asterios; Bratsas, Charalampos; Tsatali, Marianna S; Karagianni, Maria; Bamidis, Panagiotis D

    2016-03-01

    Smart monitoring of seniors behavioural patterns and more specifically activities of daily living have attracted immense research interest in recent years. Development of smart decision support systems to support the promotion of health smart homes has also emerged taking advantage of the plethora of smart, inexpensive and unobtrusive monitoring sensors, devices and software tools. To this end, a smart monitoring system has been used in order to extract meaningful information about television (TV) usage patterns and subsequently associate them with clinical findings of experts. The smart TV operating state remote monitoring system was installed in four elderly women homes and gathered data for more than 11 months. Results suggest that TV daily usage (time the TV is turned on) can predict mental health change. Conclusively, the authors suggest that collection of smart device usage patterns could strengthen the inference capabilities of existing health DSSs applied in uncontrolled settings such as real senior homes.

  16. Usability aspects of data acquisition tools for environmental decision support systems

    Energy Technology Data Exchange (ETDEWEB)

    Pundt, H.; Kuhn, W. [Univ. of Muenster, Inst. for Geoinformatics, Muenster (Germany)

    1996-10-01

    The usability of Geographic Information Systems (GIS) and of Environmental Decision Support Systems (EDSS) has become a central issue in theory and practice. People working in environmental management would like to work with tools that support their daily work, but they cannot or do not want to use most of them, because the tools lack usability. User interfaces and data formats are two immediate aspects of usability, but workflow and data semantics are often the major underlying problems. In this paper, we focus on the usability aspects of data acquisition processes and tools. The project CADCOS, funded by the European Commission, is described, in which a system architecture for a GPS-supported data acquisition tool has been drafted and a prototype is currently being tested. (au)

  17. Image data integration and analysis for natural disaster decision support systems

    Science.gov (United States)

    Roper, William E.

    2001-06-01

    Natural disasters have a major impact, globally and within the United States causing injury and loss of life, as well as economic losses. To better address disaster response needs, a task force has been established to leverage technological capabilities to improve disaster response management. Web based geospatial analysis is one of these important capabilities. Samples of geospatial technologies applicable to disaster management are presented. These include 3D visualization, hyperspectral imagery, LIDAR, use of spectral libraries, digital multispectral video, radar imaging systems, photogeologic analysis and geographic information systems. An example scenario of a hurricane with landfall at Mobile, Alabama is used to demonstrate the interoperable use of web-based geospatial information to support decision support systems and assist public information communication.

  18. Advances in intelligent analysis of medical data and decision support systems

    CERN Document Server

    Iantovics, Barna

    2013-01-01

    This volume is a result of the fruitful and vivid discussions during the MedDecSup'2012 International Workshop bringing together a relevant body of knowledge, and new developments in the increasingly important field of medical informatics. This carefully edited book presents new ideas aimed at the development of intelligent processing of various kinds of medical information and the perfection of the contemporary computer systems for medical decision support. The book presents advances of the medical information systems for intelligent archiving, processing, analysis and search-by-content which will improve the quality of the medical services for every patient and of the global healthcare system. The book combines in a synergistic way theoretical developments with the practicability of the approaches developed and presents the last developments and achievements in  medical informatics to a broad range of readers: engineers, mathematicians, physicians, and PhD students.

  19. Computerized Systems: Centralized or Decentralized?

    Science.gov (United States)

    Seitz, Linda Ludington

    1985-01-01

    Computerized management information systems have long been used in business, and data integration and sophisticated programing now enable many businesses to decentralize their information operations. This approach has advantages and disadvantages that colleges and universities must weigh and plan for carefully. (MSE)

  20. Decision support at home (DS@HOME – system architectures and requirements

    Directory of Open Access Journals (Sweden)

    Marschollek Michael

    2012-05-01

    Full Text Available Abstract Background Demographic change with its consequences of an aging society and an increase in the demand for care in the home environment has triggered intensive research activities in sensor devices and smart home technologies. While many advanced technologies are already available, there is still a lack of decision support systems (DSS for the interpretation of data generated in home environments. The aim of the research for this paper is to present the state-of-the-art in DSS for these data, to define characteristic properties of such systems, and to define the requirements for successful home care DSS implementations. Methods A literature review was performed along with the analysis of cross-references. Characteristic properties are proposed and requirements are derived from the available body of literature. Results 79 papers were identified and analyzed, of which 20 describe implementations of decision components. Most authors mention server-based decision support components, but only few papers provide details about the system architecture or the knowledge base. A list of requirements derived from the analysis is presented. Among the primary drawbacks of current systems are the missing integration of DSS in current health information system architectures including interfaces, the missing agreement among developers with regard to the formalization and customization of medical knowledge and a lack of intelligent algorithms to interpret data from multiple sources including clinical application systems. Conclusions Future research needs to address these issues in order to provide useful information – and not only large amounts of data – for both the patient and the caregiver. Furthermore, there is a need for outcome studies allowing for identifying successful implementation concepts.

  1. Shaping the Future Landscape: Catchment Systems Engineering and the Decision Support Matrix Approach

    Science.gov (United States)

    Hewett, Caspar; Quinn, Paul; Wilkinson, Mark; Wainwright, John

    2017-04-01

    Land degradation is widely recognised as one of the great environmental challenges facing humanity today, much of which is directly associated with human activity. The negative impacts of climate change and of the way in which we have engineered the landscape through, for example, agriculture intensification and deforestation, need to be addressed. However, the answer is not a simple matter of doing the opposite of current practice. Nor is non-intervention a viable option. There is a need to bring together approaches from the natural and social sciences both to understand the issues and to act to solve real problems. We propose combining a Catchment Systems Engineering (CSE) approach that builds on existing approaches such as Natural Water Retention Measures, Green infrastructure and Nature-Based Solutions with a multi-scale framework for decision support that has been successfully applied to diffuse pollution and flood risk management. The CSE philosophy follows that of Earth Systems Engineering and Management, which aims to engineer and manage complex coupled human-natural systems in a highly integrated, rational manner. CSE is multi-disciplinary, and necessarily involves a wide range of subject areas including anthropology, engineering, environmental science, ethics and philosophy. It offers a rational approach which accepts the fact that we need to engineer and act to improve the functioning of the existing catchment entity on which we rely. The decision support framework proposed draws on physical and mathematical modelling; Participatory Action Research; and demonstration sites at which practical interventions are implemented. It is predicated on the need to work with stakeholders to co-produce knowledge that leads to proactive interventions to reverse the land degradation we observe today while sustaining the agriculture humanity needs. The philosophy behind CSE and examples of where it has been applied successfully are presented. The Decision Support Matrix

  2. Argumentative SOX Compliant and Quality Decision Support Intelligent Expert System over the Suppliers Selection Process

    Directory of Open Access Journals (Sweden)

    Jesus Angel Fernandez Canelas

    2013-01-01

    Full Text Available The objective of this paper is to define a decision support system over SOX (Sarbanes-Oxley Act compatibility and quality of the Suppliers Selection Process based on Artificial Intelligence and Argumentation Theory knowledge and techniques. The present SOX Law, in effect nowadays, was created to improve financial government control over US companies. This law is a factor standard out United States due to several factors like present globalization, expansion of US companies, or key influence of US stock exchange markets worldwide. This paper constitutes a novel approach to this kind of problems due to following elements: (1 it has an optimized structure to look for the solution, (2 it has a dynamic learning method to handle court and control gonvernment bodies decisions, (3 it uses fuzzy knowledge to improve its performance, and (4 it uses its past accumulated experience to let the system evolve far beyond its initial state.

  3. Ontology-Based Clinical Decision Support System for Predicting High-Risk Pregnant Woman

    Directory of Open Access Journals (Sweden)

    Umar Manzoor

    2015-12-01

    Full Text Available According to Pakistan Medical and Dental Council (PMDC, Pakistan is facing a shortage of approximately 182,000 medical doctors. Due to the shortage of doctors; a large number of lives are in danger especially pregnant woman. A large number of pregnant women die every year due to pregnancy complications, and usually the reason behind their death is that the complications are not timely handled. In this paper, we proposed ontology-based clinical decision support system that diagnoses high-risk pregnant women and refer them to the qualified medical doctors for timely treatment. The Ontology of the proposed system is built automatically and enhanced afterward using doctor’s feedback. The proposed framework has been tested on a large number of test cases; experimental results are satisfactory and support the implementation of the solution.

  4. Decision Support System for the Intelligient Identification of Alzheimer using Neuro Fuzzy logic

    Directory of Open Access Journals (Sweden)

    Obi J.C

    2011-05-01

    Full Text Available Alzheimer Disease (AD is a form of dementia; it is a progressive, degenerative disease. Alzheimer is abrain disease that causes problems with memory, thinking and behavior. It is severe enough to interferewith daily activities. Alzheimer symptoms are characterized by memory loss that affects day-to-dayfunction, difficulty performing familiar tasks, problems with language, disorientation of time and place,poor or decreased judgment, problems with abstract thinking, misplacing things, changes in mood andbehavior, changes in personality and loss of initiative. Neuro-Fuzzy Logic explores approximationtechniques from neural networks to find the parameter of a fuzzy system. In this paper, the traditionalprocedure for the medical diagnosis of Alzheimer employed by physician is analyzed using neuro-fuzzyinference procedure. The proposed system is a useful decision support approach for the diagnosis ofAlzheimer.

  5. A Decision Support System for Business Location Based on Open GIS Technology and Data

    Directory of Open Access Journals (Sweden)

    Cornel Ghita

    2014-06-01

    Full Text Available This article presents the architecture, features, and operating mode of a DSS (Decision Support System aiming to assist entrepreneurs and managers in the process of location decision making. The research assembled concepts derived from theory, findings of empirical studies, together with open GIS (Geographical Information System software and data, and modelled them into a DSS software tool, according to an original methodology and design. The users are guided step-by-step to input information on their businesses into the DSS (industry, preferences for land-use areas and facility types, weights of key location factors, and are returned two sets of results: one based on own options, and another one aggregate for the industry they operate in. The results consist in the top five locations for the user's firm, as well as for the industry, depicted both in a graphical report (map and a text report (explanation of results.

  6. Development of a GIS-based decision-support system of forest resource management

    Institute of Scientific and Technical Information of China (English)

    LI Fengri; ZHAO Yinghui

    2006-01-01

    Based on forest inventory data and a variety of spatial data layers, including topographic maps, forest type maps, forest themes, etc., a multilevel decision-support system (DSS) for forest resource management was developed for Shangzhi National Forestry Bureau, Heilongjiang Province, China. This paper induced the procedure of the DSS development and its main functions, including displaying, cartography, dual-comprehensive querying of spatial and attribute data, GPS positioning, statistical analysis, updating resource data, etc. The applications of the DSS in resources analysis and management proved effective both in forestry bureau and forest farm levels. Traditional approaches of forest resource management were accordingly updated and the digitization of forest management was realized in deed for state-owned forest industries. The system provides a basis for rational forest management towards sustainable forestry by means of stratified management.

  7. A Framework for a Decision Support System in a Hierarchical Extended Enterprise Decision Context

    Science.gov (United States)

    Boza, Andrés; Ortiz, Angel; Vicens, Eduardo; Poler, Raul

    Decision Support System (DSS) tools provide useful information to decision makers. In an Extended Enterprise, a new goal, changes in the current objectives or small changes in the extended enterprise configuration produce a necessary adjustment in its decision system. A DSS in this context must be flexible and agile to make suitable an easy and quickly adaptation to this new context. This paper proposes to extend the Hierarchical Production Planning (HPP) structure to an Extended Enterprise decision making context. In this way, a framework for DSS in Extended Enterprise context is defined using components of HPP. Interoperability details have been reviewed to identify the impact in this framework. The proposed framework allows overcoming some interoperability barriers, identifying and organizing components for a DSS in Extended Enterprise context, and working in the definition of an architecture to be used in the design process of a flexible DSS in Extended Enterprise context which can reuse components for futures Extended Enterprise configurations.

  8. Partnering With Your Health System to Select and Implement Clinical Decision Support for Imaging.

    Science.gov (United States)

    Jensen, Jeff D; Durand, Daniel J

    2017-02-01

    Recent legislation mandates the documentation of appropriateness criteria consultation when ordering advanced imaging for Medicare patients to remain eligible for reimbursement. Implementation of imaging clinical decision support (CDS) is a solution adopted by many systems to automate compliance with the new requirements. This article is intended to help radiologists who are employed by, contracted with, or otherwise affiliated with systems planning to implement CDS in the near future and ensure that they are able to understand and contribute to the process wherever possible. It includes an in-depth discussion of the legislation, evidence for and against the efficacy of imaging CDS, considerations for selecting a CDS vendor, tips for configuring CDS in a fashion consistent with departmental goals, and pointers for implementation and change management.

  9. Urbanization susceptibility maps: a dynamic spatial decision support system for sustainable land use

    Directory of Open Access Journals (Sweden)

    M. Cerreta

    2012-10-01

    Full Text Available Recent developments in land consumption assessment identify the need to implement integrated evaluative approaches, with particular attention to the identification of multidimensional tools for guiding and managing sustainable land use. Policy decisions defining land use are mostly implemented through spatial planning and related zoning, and this involves trade-offs between many sectoral interests and conflicting challenges aimed at win-win solutions. In order to identify a decision-making process for land use allocation, the paper proposes a methodological approach for a Dynamic Spatial Decision Support System (DSDSS, named Integrated Spatial Assessment (ISA, supported by Geographical Information Systems (GIS combined with Analytic Hierarchy Process (AHP. Through the empirical investigation in an operative case study, an integrated evaluative approach implemented in a DSDSS helps to elaborate "urbanization susceptibility maps", where spatial analysis combined with a multi-criteria method proved to be useful for facing the main issues related to land consumption and minimizing environmental impacts of spatial planning.

  10. A multi-agent-based, semantic-driven system for decision support in epidemic management.

    Science.gov (United States)

    Li, Sen; Mackaness, William A

    2015-09-01

    Issues in epidemiology are truly multidisciplinary, requiring knowledge from diverse disciplines such as sociology, medicine, biology, geography and information science. Such inherent complexity has led to a challenge in developing decision support systems for epidemic information management, especially when data are from heterogeneous origins. In order to achieve a solution, an integrative framework is proposed. The Semantic Web is introduced in the context of enriching meaningful and machine-readable descriptions of epidemiological data. Software agents are utilised to achieve automation in semantic discovery, composition of data and process services. The objective is to enhance the performance in information retrieval in a dynamic decision-making environment while concealing technical complexity from inexperienced users. We illustrate how a prototype system can be developed by considering an epidemiology management scenario in which spatio-temporal analysis is undertaken of a specified epidemic.

  11. A decision support system for planning biomass-based energy production

    Energy Technology Data Exchange (ETDEWEB)

    Frombo, Francesco; Robba, Michela [DIST, Department of Communication, Computer and System Sciences, University of Genoa, Via Opera Pia 13, 16145 Genova (Italy); Renewable Energy Laboratory, Modelling and Optimization, Via A. Magliotto 2, 17100 Savona (Italy); Minciardi, Riccardo; Sacile, Roberto [DIST, Department of Communication, Computer and System Sciences, University of Genoa, Via Opera Pia 13, 16145 Genova (Italy)

    2009-03-15

    Environmental decision support systems (EDSS) are recognized as valuable tools for environmental planning and management. In this paper, a geographic information system (GIS)-based EDSS for the optimal planning of forest biomass use for energy production is presented. A user-friendly interface allows the creation of Scenarios and the running of the developed decision and environmental models. In particular, the optimization model regards decisions over a long-term period (e.g. years) and includes decision variables related to plant locations, conversion processes (pyrolisis, gasification, combustion), harvested biomass. Moreover, different energy products and different definitions of the harvesting and pre-treatment operations are taken into account. The correct management of the forest is considered through specific constraints, security factors, and procedures for parcel selection. The EDSS features and capabilities are described in detail, with specific reference to a case study. Discussion and further research are reported. (author)

  12. [A computerised clinical decision-support system for the management of depression in Primary Care].

    Science.gov (United States)

    Aragonès, Enric; Comín, Eva; Cavero, Myriam; Pérez, Víctor; Molina, Cristina; Palao, Diego

    Despite its clinical relevance and its importance as a public health problem, there are major gaps in the management of depression. Evidence-based clinical guidelines are useful to improve processes and clinical outcomes. In order to make their implementation easier these guidelines have been transformed into computerised clinical decision support systems. In this article, a description is presented on the basics and characteristics of a new computerised clinical guideline for the management of major depression, developed in the public health system in Catalonia. This tool helps the clinician to establish reliable and accurate diagnoses of depression, to choose the best treatment a priori according to the disease and the patient characteristics. It also emphasises the importance of systematic monitoring to assess the clinical course, and to adjust therapeutic interventions to the patient's needs at all times. Copyright © 2016 Elsevier España, S.L.U. All rights reserved.

  13. Developing a fuzzy decision support system to determine the location of a landfill site.

    Science.gov (United States)

    Alves, Maria C M; Lima, Beatriz S L P; Evsukoff, Alexandre G; Vieira, Ian N

    2009-10-01

    This paper presents two case studies of municipal solid waste site location using a decision-support system based on fuzzy logic. This problem is very complex, as it requires the evaluation of different criteria, which involve environmental, social and economic data. Such data deal with a wide range of information that presents not only quantitative, but also qualitative knowledge. In order to deal with this characteristic, the developed system employs fuzzy rules due to its ability to treat linguistic variables and the human way of thinking. Conventional approaches tend to be less effective in dealing with the imprecise or vague nature of the linguistic assessment. A case study for selecting the location of a new municipal solid waste landfill for the city of Petropolis in Rio de Janeiro is presented. Testing of the proposed method was carried out using data from the municipal solid waste location for another municipality in Rio de Janeiro, Brazil.

  14. Developing an Intelligent Reservoir Flood Control Decision Support System through Integrating Artificial Neural Networks

    Science.gov (United States)

    Chang, L. C.; Kao, I. F.; Tsai, F. H.; Hsu, H. C.; Yang, S. N.; Shen, H. Y.; Chang, F. J.

    2015-12-01

    Typhoons and storms hit Taiwan several times every year and cause serious flood disasters. Because the mountainous terrain and steep landform rapidly accelerate the speed of flood flow, rivers cannot be a stable source of water supply. Reservoirs become one of the most important and effective floodwater storage facilities. However, real-time operation for reservoir flood control is a continuous and instant decision-making process based on rules, laws, meteorological nowcast, in addition to the immediate rainfall and hydrological data. The achievement of reservoir flood control can effectively mitigate flood disasters and store floodwaters for future uses. In this study, we construct an intelligent decision support system for reservoir flood control through integrating different types of neural networks and the above information to solve this problem. This intelligent reservoir flood control decision support system includes three parts: typhoon track classification, flood forecast and adaptive water release models. This study used the self-organizing map (SOM) for typhoon track clustering, nonlinear autoregressive with exogenous inputs (NARX) for multi-step-ahead reservoir inflow prediction, and adaptive neuro-fuzzy inference system (ANFIS) for reservoir flood control. Before typhoons landfall, we can estimate the entire flood hydrogragh of reservoir inflow by using SOM and make a pre-release strategy and real-time reservoir flood operating by using ANFIS. In the meanwhile, NARX can be constantly used real-time five-hour-ahead inflow prediction for providing the newest flood information. The system has been successfully implemented Typhoons Trami (2013), Fitow (2013) and Matmo (2014) in Shihmen Reservoir.

  15. Developing a Decision Support System for Flood Response: NIMS/ICS Fundamentals

    Science.gov (United States)

    Gutenson, J. L.; Zhang, X.; Ernest, A. N. S.; Oubeidillah, A.; Zhu, L.

    2015-12-01

    Effective response to regional disasters such as floods requires a multipronged, non-linear approach to reduce loss of life, property and harm to the environment. These coordinated response actions are typically undertaken by multiple jurisdictions, levels of government, functional agencies and other responsible entities. A successful response is highly dependent on the effectiveness and efficiency of each coordinated response action undertaken across a broad spectrum of organizations and activities. In order to provide a unified framework for those responding to incidents or planned events, FEMA provides a common and flexible approach for managing incidents, regardless of cause, size, location or complexity, referred to as the National Incident Management System (NIMS). Integral to NIMS is the Incident Command System (ICS), which establishes a common, pre-defined organizational structure to ensure coordination and management of procedures, resources and communications, for efficient incident management. While being both efficient and rigorous, NIMS, and ICS to a lesser extent, is an inherently complex framework that requires significant amount of training for planners, responders and managers to master, especially considering the wide array of incident types that Local Emergency Planning Committees (LEPCs) must be prepared to respond to. The existing Water-Wizard Decision Support System (DSS), developed to support water distribution system recovery operations for Decontamination (Decon), Operational Optimization (WDS), and Economic Consequence Assessment (Econ), is being evolved to integrate incident response functions. Water-Wizard runs on both mobile and desktop devices, and is being extended to utilize smartphone and mobile device specific data streams (e.g GPS location) to augment its fact-base in real-time for situational-aware DSS recommendations. In addition, the structured NIMS and ICS frameworks for incident management and response are being incorporated

  16. Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics.

    Science.gov (United States)

    Kuru, Kaya; Niranjan, Mahesan; Tunca, Yusuf; Osvank, Erhan; Azim, Tayyaba

    2014-10-01

    In general, medical geneticists aim to pre-diagnose underlying syndromes based on facial features before performing cytological or molecular analyses where a genotype-phenotype interrelation is possible. However, determining correct genotype-phenotype interrelationships among many syndromes is tedious and labor-intensive, especially for extremely rare syndromes. Thus, a computer-aided system for pre-diagnosis can facilitate effective and efficient decision support, particularly when few similar cases are available, or in remote rural districts where diagnostic knowledge of syndromes is not readily available. The proposed methodology, visual diagnostic decision support system (visual diagnostic DSS), employs machine learning (ML) algorithms and digital image processing techniques in a hybrid approach for automated diagnosis in medical genetics. This approach uses facial features in reference images of disorders to identify visual genotype-phenotype interrelationships. Our statistical method describes facial image data as principal component features and diagnoses syndromes using these features. The proposed system was trained using a real dataset of previously published face images of subjects with syndromes, which provided accurate diagnostic information. The method was tested using a leave-one-out cross-validation scheme with 15 different syndromes, each of comprised 5-9 cases, i.e., 92 cases in total. An accuracy rate of 83% was achieved using this automated diagnosis technique, which was statistically significant (pdiagnostic DSSs to that described in the present study, i.e., visual diagnostic DSS, thereby demonstrating the benefits of using hybrid image processing and ML-based computer-aided diagnostics for identifying facial phenotypes. Copyright © 2014. Published by Elsevier B.V.

  17. An Evolutionary Complex Systems Decision-Support Tool for the Management of Operations

    Science.gov (United States)

    Baldwin, J. S.; Allen, P. M.; Ridgway, K.

    2011-12-01

    This research aimed to add both to the development of complex systems thinking in the subject area of Operations and Production Management and to the limited number of applications of computational models and simulations from the science of complex systems. The latter potentially offer helpful decision-support tools for operations and production managers. A mechanical engineering firm was used as a case study where a combined qualitative and quantitative methodological approach was employed to extract the required data from four senior managers. Company performance measures as well as firm technologies, practices and policies, and their relation and interaction with one another, were elicited. The data were subjected to an evolutionary complex systems model resulting in a series of simulations. The findings included both reassuring and some unexpected results. The simulation based on the CEO's opinions led the most cohesive and synergistic collection of practices describing the firm, closely followed by the Marketing and R&D Managers. The Manufacturing Manager's responses led to the most extreme evolutionary trajectory where the integrity of the entire firm came into question particularly when considering how employees were utilised. By drawing directly from the opinions and views of managers rather than from logical 'if-then' rules and averaged mathematical representations of agents that characterise agent-based and other self-organisational models, this work builds on previous applications by capturing a micro-level description of diversity and a learning effect that has been problematical not only in terms of theory but also in application. This approach can be used as a decision-support tool for operations and other managers providing a forum with which to explore a) the strengths, weaknesses and consequences of different decision-making capacities within the firm; b) the introduction of new manufacturing technologies, practices and policies; and, c) the

  18. SIAM-SERVIR: An Environmental Monitoring and Decision Support System for Mesoamerica

    Science.gov (United States)

    Irwin, Daniel E.; Sever, Tom; Graves, Sara; Hardin, Danny

    2005-01-01

    In 2002/2003 NASA, the World Bank and the United States Agency for International Development (USAID) joined with the Central American Commission for Environment and Development (CCAD) to develop an advanced decision support system for Mesoamerica (named SERVIR) as part of the Mesoamerican Environmental Information System (SIAM). Mesoamerica - composed of the seven Central American countries and the five southernmost states of Mexico - make up only a small fraction of the world s land surface. However, the region is home to seven to eight percent of the planet s biodiversity (14 biosphere reserves, 31 Ramsar sites, 8 world heritage sites, 589 protected areas) and 45 million people including more than 50 different ethnic groups. Today Mesoamerica s biological and cultural diversity is severely threatened by extensive deforestation, illegal logging, water pollution, and uncontrolled slash and burn agriculture. Additionally, Mesoamerica's distinct geology and geography result in disproportionate vulnerability to natural disasters such as earthquakes, hurricanes, drought, and volcanic eruptions. NASA Marshall Space Flight Center, together with the University of Alabama in Huntsville (UAH) and the SIAM-SERVIR partners are developing state-of-the-art decision support tools for environmental monitoring as well as disaster prevention and mitigation in Mesoamerica. These partners are contributing expertise in space-based observation with information management technologies and intimate knowledge of local ecosystems to create a system that is being used by scientists, educators, and policy makers to monitor and forecast ecological changes, respond to natural disasters and better understand both natural and human induced effects. In its first year of development and operation, the SIAM-SERVIR project has already yielded valuable information on Central American fires, weather conditions, and the first ever real-time data on red tides. This paper presents the progress thus far

  19. SIAM-SERVIR: An Environmental Monitoring and Decision Support System for Mesoamerica

    Science.gov (United States)

    Irwin, Daniel E.; Sever, Tom; Graves, Sara; Hardin, Danny

    2005-01-01

    In 2002/2003 NASA, the World Bank and the United States Agency for International Development (USAID) joined with the Central American Commission for Environment and Development (CCAD) to develop an advanced decision support system for Mesoamerica (named SERVIR) as part of the Mesoamerican Environmental Information System (SIAM). Mesoamerica - composed of the seven Central American countries and the five southernmost states of Mexico - make up only a small fraction of the world s land surface. However, the region is home to seven to eight percent of the planet s biodiversity (14 biosphere reserves, 31 Ramsar sites, 8 world heritage sites, 589 protected areas) and 45 million people including more than 50 different ethnic groups. Today Mesoamerica s biological and cultural diversity is severely threatened by extensive deforestation, illegal logging, water pollution, and uncontrolled slash and burn agriculture. Additionally, Mesoamerica's distinct geology and geography result in disproportionate vulnerability to natural disasters such as earthquakes, hurricanes, drought, and volcanic eruptions. NASA Marshall Space Flight Center, together with the University of Alabama in Huntsville (UAH) and the SIAM-SERVIR partners are developing state-of-the-art decision support tools for environmental monitoring as well as disaster prevention and mitigation in Mesoamerica. These partners are contributing expertise in space-based observation with information management technologies and intimate knowledge of local ecosystems to create a system that is being used by scientists, educators, and policy makers to monitor and forecast ecological changes, respond to natural disasters and better understand both natural and human induced effects. In its first year of development and operation, the SIAM-SERVIR project has already yielded valuable information on Central American fires, weather conditions, and the first ever real-time data on red tides. This paper presents the progress thus far

  20. A decision support system for delivering optimal quality peach and tomato

    Science.gov (United States)

    Thai, C. N.; Pease, J. N.; Shewfelt, R. L.

    1990-01-01

    Several studies have indicated that color and firmness are the two quality attributes most important to consumers in making purchasing decisions of fresh peaches and tomatoes. However, at present, retail produce managers do not have the proper information for handling fresh produce so it has the most appealing color and firmness when it reaches the consumer. This information should help them predict the consumer color and firmness perception and preference for produce from various storage conditions. Since 1987, for 'Redglobe' peach and 'Sunny' tomato, we have been generating information about their physical quality attributes (firmness and color) and their corresponding consumer sensory scores. This article reports on our current progress toward the goal of integrating such information into a model-based decision support system for retail level managers in handling fresh peaches and tomatoes.

  1. Application of decision support systems in county urban planning: a proposal for Macaé county

    Directory of Open Access Journals (Sweden)

    GALANTE, A. C.

    2008-06-01

    Full Text Available The Macaé County is one of the greatest economy of the state of Rio de Janeiro. With the use of the information technology is possible to create a powerful tool for supporting the decision making processing for this County, aiding the process of improvement of life quality. For that one, intends to use a Decision Support System able to give different kind of information of County areas, like health and education. For the union of all information the datawarehouse technology will be used. For query implementation the technologies of OLAP and GIS are used together. Therefore, those technologies together make a powerful tool for aiding the decision making process of the Macaé County.

  2. A Conceptual Framework for Occupant-Centered Building Management Decision Support System

    DEFF Research Database (Denmark)

    Lazarova-Molnar, Sanja; Shaker, Hamid Reza

    2016-01-01

    -obvious/-direct incentive to reduce energy use and no access to their levels of consumption. In this paper we present a framework for a building energy management decision support system that is motivated by these findings, and therefore, centres the occupants and motivates them to both achieve business-wise and improve......Buildings’ energy consumption makes the largest portion of the overall energy consumption. Commercial buildings are specific and their energy efficiency should not be viewed as a standalone issue. On the contrary, it needs to be viewed in function of the goals of the hosted businesses....... Human behaviour is, however, very complex and hard to predict, and there needs to be a set of conditions satisfied for occupants to cooperate on the energy efficiency level. Majority of commercial buildings’ occupants are not directly affected by their energy-consumption related behaviour due to the non...

  3. A generic concept for the development of model-guided clinical decision support systems

    Directory of Open Access Journals (Sweden)

    Denecke Kerstin

    2015-09-01

    Full Text Available Disease development and progression are very complex processes which make clinical decision making non-trivial. On the one hand, examination results that are stored in multiple formats and data types in clinical information systems need to be considered. Beyond, biological or molecular-biological processes can influence clinical decision making. So far, biological knowledge and patient data is separated from each other. This complicates inclusion of all relevant knowledge and information into the decision making. In this paper, we describe a concept of model-based decision support that links knowledge about biological processes, treatment decisions and clinical data. It consists of three models: 1 a biological model, 2 a decision model encompassing medical knowledge about the treatment workflow and decision parameters, and 3 a patient data model generated from clinical data. Requirements and future steps for realizing the concept will be presented and it will be shown how the concept can support the clinical decision making.

  4. Artificial Intelligence (AI), Operations Research (OR), and Decision Support Systems (DSS): A conceptual framework

    Science.gov (United States)

    Parnell, Gregory S.; Rowell, William F.; Valusek, John R.

    1987-01-01

    In recent years there has been increasing interest in applying the computer based problem solving techniques of Artificial Intelligence (AI), Operations Research (OR), and Decision Support Systems (DSS) to analyze extremely complex problems. A conceptual framework is developed for successfully integrating these three techniques. First, the fields of AI, OR, and DSS are defined and the relationships among the three fields are explored. Next, a comprehensive adaptive design methodology for AI and OR modeling within the context of a DSS is described. These observations are made: (1) the solution of extremely complex knowledge problems with ill-defined, changing requirements can benefit greatly from the use of the adaptive design process, (2) the field of DSS provides the focus on the decision making process essential for tailoring solutions to these complex problems, (3) the characteristics of AI, OR, and DSS tools appears to be converging rapidly, and (4) there is a growing need for an interdisciplinary AI/OR/DSS education.

  5. Bayesian inference-based environmental decision support systems for oil spill response strategy selection.

    Science.gov (United States)

    Davies, Andrew J; Hope, Max J

    2015-07-15

    Contingency plans are essential in guiding the response to marine oil spills. However, they are written before the pollution event occurs so must contain some degree of assumption and prediction and hence may be unsuitable for a real incident when it occurs. The use of Bayesian networks in ecology, environmental management, oil spill contingency planning and post-incident analysis is reviewed and analysed to establish their suitability for use as real-time environmental decision support systems during an oil spill response. It is demonstrated that Bayesian networks are appropriate for facilitating the re-assessment and re-validation of contingency plans following pollutant release, thus helping ensure that the optimum response strategy is adopted. This can minimise the possibility of sub-optimal response strategies causing additional environmental and socioeconomic damage beyond the original pollution event.

  6. A REAL TIME DECISION SUPPORT SYSTEM FOR THE ADJUSTMENT OF SAILBOAT RIGGING

    Directory of Open Access Journals (Sweden)

    Inmaculada Ortigosa

    2016-01-01

    Full Text Available The operational complexity and performance requirements of modern racing yachts demand the use of advanced applications, such as a decision support system (DSS able to assist crew members during navigation. In this article, the authors describe a near-time computational solver as the main piece of a DSS which analyses and monitors the behaviour of sails and rigging. The solver is made up of two different interconnected tools: an iterative Fluid-Structure Interaction algorithm and an advanced Wireless Sensor Network to monitor rigging. The real-time DSS quantifies crew manoeuvres in physical terms, which are reproduced by a simulation program. It can be used in the design phase of sailing yachts and as an aid for real-time boat performance optimisation and accident prevention. This novel DSS is a useful tool for navigation, especially in races.

  7. Using a geographical-information-system-based decision support to enhance malaria vector control in zambia.

    Science.gov (United States)

    Chanda, Emmanuel; Mukonka, Victor Munyongwe; Mthembu, David; Kamuliwo, Mulakwa; Coetzer, Sarel; Shinondo, Cecilia Jill

    2012-01-01

    Geographic information systems (GISs) with emerging technologies are being harnessed for studying spatial patterns in vector-borne diseases to reduce transmission. To implement effective vector control, increased knowledge on interactions of epidemiological and entomological malaria transmission determinants in the assessment of impact of interventions is critical. This requires availability of relevant spatial and attribute data to support malaria surveillance, monitoring, and evaluation. Monitoring the impact of vector control through a GIS-based decision support (DSS) has revealed spatial relative change in prevalence of infection and vector susceptibility to insecticides and has enabled measurement of spatial heterogeneity of trend or impact. The revealed trends and interrelationships have allowed the identification of areas with reduced parasitaemia and increased insecticide resistance thus demonstrating the impact of resistance on vector control. The GIS-based DSS provides opportunity for rational policy formulation and cost-effective utilization of limited resources for enhanced malaria vector control.

  8. Student-centered Role-based Case Study Model to Improve Learning in Decision Support Systems

    Directory of Open Access Journals (Sweden)

    Farrukh Nadeem

    2014-10-01

    Full Text Available One of the important learning objectives of our bachelor course on "Techniques in Decision Support Systems" is to develop understanding of core decision making process in real-life business situations. The conventional teaching methods are unable to explain complexities of real-life business. Although the classroom discussions can be effective to understand general factors, such as opportunity cost, return on investment, etc. affecting business decisions, the effects of factors like dynamic business environment, incomplete information, time pressure etc. can not be truly explained through such simple discussions. In this paper, we describe our experience of adopting student-centered, role-based, case study to deal with this situation. The interactive case-based study not only provided students with experiential learning, but also gave them liberty to test their thoughts. As a result, we observed improved students' learning as well as improved grades. In addition, this approach made classes more dynamic and interesting.

  9. A cloud-based fuzzy approach for spatial site selection in decision support system

    Institute of Scientific and Technical Information of China (English)

    FU Xiao-xi; Byeong-Seob You; XIA Ying; Gyung-Bae Kim; Hae-Young Bae

    2007-01-01

    In decision support system for spatial site selection, the fuzzy synthetic evaluation is a useful way. However, the method can't pay attention to the randomness in factors. To remedy the problem, this paper proposes a clouded-base fuzzy approach which combines advantages of cloud transform and fuzzy synthetic evaluation. The cloud transform considers the randomness in the factors and product the higher concept layer for data mining. At the same time, the check mechanism controls the quality of partitions in factors. Then the fuzzy approach was used to get final evaluation value with randomness and fuzziness. It make the final result is optimization. Finally, performance evaluations show that this approach spent less runtime and got more accuracy than the fuzzy synthetic. The experiments prove that the proposed method is faster and more accuracy than the original method.

  10. Spatial decision support system to evaluate crop residue energy potential by anaerobic digestion.

    Science.gov (United States)

    Escalante, Humberto; Castro, Liliana; Gauthier-Maradei, Paola; Rodríguez De La Vega, Reynel

    2016-11-01

    Implementing anaerobic digestion (AD) in energy production from crop residues requires development of decision tools to assess its feasibility and sustainability. A spatial decision support system (SDSS) was constructed to assist decision makers to select appropriate feedstock according to biomethanation potential, identify the most suitable location for biogas facilities, determine optimum plant capacity and supply chain, and evaluate associated risks and costs. SDSS involves a spatially explicit analysis, fuzzy multi-criteria analysis, and statistical and optimization models. The tool was validated on seven crop residues located in Santander, Colombia. For example, fique bagasse generates about 0.21millionm(3)CH4year(-1) (0.329m(3)CH4kg(-1) volatile solids) with a minimum profitable plant of about 2000tonyear(-1) and an internal rate of return of 10.5%. SDSS can be applied to evaluate other biomass resources, availability periods, and co-digestion potential.

  11. Project management in mine actions using Multi-Criteria-Analysis-based decision support system

    Directory of Open Access Journals (Sweden)

    Marko Mladineo

    2014-12-01

    Full Text Available In this paper, a Web-based Decision Support System (Web DSS, that supports humanitarian demining operations and restoration of mine-contaminated areas, is presented. The financial shortage usually triggers a need for priority setting in Project Management in Mine actions. As part of the FP7 Project TIRAMISU, a specialized Web DSS has been developed to achieve a fully transparent priority setting process. It allows stakeholders and donors to actively join the decision making process using a user-friendly and intuitive Web application. The main advantage of this Web DSS is its unique way of managing a mine action project using Multi-Criteria Analysis (MCA, namely the PROMETHEE method, in order to select priorities for demining actions. The developed Web DSS allows decision makers to use several predefined scenarios (different criteria weights or to develop their own, so it allows project managers to compare different demining possibilities with ease.

  12. Developing a Virtual Group Decision Support System Based on Fuzzy Hybrid MCDM Approach

    Directory of Open Access Journals (Sweden)

    Bahram Izadi

    2013-01-01

    Full Text Available Organizational decisions involve with unusually vague and conflicting criteria. This controversy increases empirical uncertainties, disputes, and the resulting consequences of these decisions. One possible method in subduing this problem is to apply quantitative approaches to provide a transparent process for resolute conclusions which enables decision makers to formulate accurate and decisive on time decisions. Although numerous methods are presented in the literature, the majority of them aim to develop theoretical models. However, this article aims to develop and implement an integrated fuzzy virtual MCDM model based on fuzzy AHP and fuzzy TOPSIS as a decision support system (DDS. Preventing disadvantageous face-to-face decision-making by achieving positive benefit from virtual decision making causes the proposed DDS to be suitable for making crucial decisions such as supplier selection, employee selection, employee appraisal, R&D project selection, etc. The proposed DDS has been implemented in an optical company in Iran.

  13. A decision support system improves the interpretation of myocardial perfusion imaging

    DEFF Research Database (Denmark)

    Tagil, K.; Bondouy, M.; Chaborel, J.P.;

    2008-01-01

    PURPOSE: The aim of this study was to investigate the influence of a computer-based decision support system (DSS) on performance and inter-observer variability of interpretations regarding ischaemia and infarction in myocardial perfusion scintigraphy (MPS). METHODS: Seven physicians independently...... interpreted 97 MPS studies, first without and then with the advice of a DSS. Four physicians had long experience and three had limited experience in the interpretation of MPS. Each study was interpreted regarding myocardial ischaemia and infarction in five myocardial regions. The patients had undergone...... from 81% without the DSS to 86% with the DSS (p = 0.01). The increase in sensitivity was higher for the three inexperienced physicians (9%) than for the four experienced physicians (2%). There was no significant change in specificity between the interpretations. The interpretations of ischaemia made...

  14. An overview of emerging technologies in contemporary decision support system development

    Energy Technology Data Exchange (ETDEWEB)

    Nursal, Ahmad Taufik, E-mail: taufiknursal@yahoo.com, E-mail: faizal-omar@uum.edu.my; Omar, Mohd Faizal, E-mail: taufiknursal@yahoo.com, E-mail: faizal-omar@uum.edu.my [School of Quantitative Sciences, College of Arts and Sciences, Universiti Utara Malaysia, 06010 Sintok, Kedah (Malaysia); Nawi, Mohd Nasrun Mohd, E-mail: nasrun@uum.edu.my [School of Technology Management and Logistics, Universiti Utara Malaysia, 06010 Sintok, Kedah (Malaysia)

    2014-12-04

    The rapid development of Web technology has opened a new approach to Decision Support System (DSS) development. For instance, Social Media is one of the Web 2.0 digital platforms that allow the creation and exchanges of user-generate content through an interactive interface, high user control and mass participation. The concept and characteristics of Web 2.0 such as remote, platform-independent, context-rich and easy to use, which is fulfill the concept and purpose of DSS. This paper outlines some of the elementary concepts of Web 2.0 and social media technology which can be potentially integrated within DSS to enhance the decision-making process. Our initial investigation indicates that there is limited study attempt to embed Web 2.0 into DSS. Thus, this paper highlights the importance of Web 2.0 technology in order to foster the betterment of DSS development and its usability.

  15. A decision support system for real-time stress detection during virtual reality exposure.

    Science.gov (United States)

    Gaggioli, Andrea; Cipresso, Pietro; Serino, Silvia; Pioggia, Giovanni; Tartarisco, Gennaro; Baldus, Giovanni; Corda, Daniele; Ferro, Marcello; Carbonaro, Nicola; Tognetti, Alessandro; De Rossi, Danilo; Giakoumis, Dimitris; Tzovaras, Dimitrios; Riera, Alejandro; Riva, Giuseppe

    2014-01-01

    Virtual Reality (VR) is increasingly being used in combination with psycho-physiological measures to improve assessment of distress in mental health research and therapy. However, the analysis and interpretation of multiple physiological measures is time consuming and requires specific skills, which are not available to most clinicians. To address this issue, we designed and developed a Decision Support System (DSS) for automatic classification of stress levels during exposure to VR environments. The DSS integrates different biosensor data (ECG, breathing rate, EEG) and behavioral data (body gestures correlated with stress), following a training process in which self-rated and clinical-rated stress levels are used as ground truth. Detected stress events for each VR session are reported to the therapist as an aggregated value (ranging from 0 to 1) and graphically displayed on a diagram accessible by the therapist through a web-based interface.

  16. Prediction of First-Order Vessel Responses with Applications to Decision Support Systems

    DEFF Research Database (Denmark)

    Nielsen, Ulrik D.; Iseki, Toshio

    2015-01-01

    The paper presents a practical and simple approach for making vessel response predictions. Features of the procedure include a) predictions which are scaled so to better agree with corresponding true, future values to be measured at the time the predictions apply at; and b) predictions that are a......The paper presents a practical and simple approach for making vessel response predictions. Features of the procedure include a) predictions which are scaled so to better agree with corresponding true, future values to be measured at the time the predictions apply at; and b) predictions...... that are assigned an uncertainty measure to reflect a level of confidence. The approach is tested with full-scale data and the obtained results/predictions agree well with measured values. Potentially, the procedure is therefore very useful in future developments of general decision support systems....

  17. Evaluation of renewable energy potential using a GIS decision support system

    Energy Technology Data Exchange (ETDEWEB)

    Voivontas, D.; Assimacopoulos, D.; Mourelatos, A. [National Technical University of Athens, Section II : Process Analysis and Plant Design, Zografou Campus (Greece); Corominas, J. [ECOSERVEIS, Barcelona (Spain)

    1998-07-01

    A GIS Decision Support System has been developed for the evaluation of Renewable Energy Sources potential and the financial analysis of RE investments. A GIS database with data on wind, topography, urban areas, and special activities has been developed and used for the evaluation of theoretical potential through the spatially continuous mapping of Renewable Energy Sources. The available and technological potential are evaluated by the application of availability and technological restrictions. The evaluation of economical potential is performed by a precise estimation of the expected energy output and installation cost. The financial analysis based on the Internal Rate of Return, identifies the financial viability of alternative investments. The evaluation of wind energy potential for the island of Crete and the financial analysis of a wind park installation are presented as a case study. (author)

  18. IONIO Project: Computer-mediated Decision Support System and Communication in Ocean Science

    Science.gov (United States)

    Oddo, Paolo; Acierno, Arianna; Cuna, Daniela; Federico, Ivan; Galati, Maria Barbara; Awad, Esam; Korres, Gerasimos; Lecci, Rita; Manzella, Giuseppe M. R.; Merico, Walter; Perivoliotis, Leonidas; Pinardi, Nadia; Shchekinova, Elena; Mannarini, Gianandrea; Vamvakaki, Chrysa; Pecci, Leda; Reseghetti, Franco

    2013-04-01

    A decision Support System is composed by four main steps. The first one is the definition of the problem, the issue to be covered, decisions to be taken. Different causes can provoke different problems, for each of the causes or its effects it is necessary to define a list of information and/or data that are required in order to take the better decision. The second step is the determination of sources from where information/data needed for decision-making can be obtained and who has that information. Furthermore it must be possible to evaluate the quality of the sources to see which of them can provide the best information, and identify the mode and format in which the information is presented. The third step is relying on the processing of knowledge, i.e. if the information/data are fitting for purposes. It has to be decided which parts of the information/data need to be used, what additional data or information is necessary to access, how can information be best presented to be able to understand the situation and take decisions. Finally, the decision making process is an interactive and inclusive process involving all concerned parties, whose different views must be taken into consideration. A knowledge based discussion forum is necessary to reach a consensus. A decision making process need to be examined closely and refined, and modified to meet differing needs over time. The report is presenting legal framework and knowledge base for a scientific based decision support system and a brief exploration of some of the skills that enhances the quality of decisions taken.

  19. Informing physicians using a situated decision support system: Disease management for the smart city

    Directory of Open Access Journals (Sweden)

    Raafat George Saade

    2014-12-01

    Full Text Available We are in the midst of a healthcare paradigm shift driven by the wide adoption of ubiquitous computing and various modes of information communications technologies. As a result, cities worldwide are undergoing a major process of urbanization with ever increasing wealth of sensing capabilities – hence the Internet of Things (IoT. These trends impose great pressure on how healthcare is done. This paper describes the design and implementation of a situated clinical decision support (SCDSS system, most appropriate for smart cities. The SCDSS was prototyped and enhanced in a clinic. The SCDSS was then used in a clinic as well as in a university hospital centre. In this article, the system’s architecture, subcomponents and integrated workflow are described. The systems’ design was the result of a knowledge acquisition process involving interviews with five specialists and testing with 50 patients. The reports (specialist consultation report generated by the SCDSS were shown to general practitioners who were not able to distinguish them from human specialist reports. We propose a context-aware CDSS and assess its effectiveness in managing a wide medical range of patients. Five different patient cases were identified for analysis. The SCDSS was used to produce draft electronic specialist consultations, which were then compared to the original specialists’ consultations. It was found that the SCDSS-generated consults were of better quality for a number of reasons discussed herein. SCDSSs have great promise for their use in the clinical environment of smart cities. Valuable insights into the integration and use of situated clinical decision support systems are highlighted and suggestions for future research are given.

  20. Decision support system in an international-voice-services business company

    Science.gov (United States)

    Hadianti, R.; Uttunggadewa, S.; Syamsuddin, M.; Soewono, E.

    2017-01-01

    We consider a problem facing by an international telecommunication services company in maximizing its profit. From voice services by controlling cost and business partnership. The competitiveness in this industry is very high, so that any efficiency from controlling cost and business partnership can help the company to survive in the very high competitiveness situation. The company trades voice traffic with a large number of business partners. There are four trading schemes that can be chosen by this company, namely, flat rate, class tiering, volume commitment, and revenue capped. Each scheme has a specific characteristic on the rate and volume deal, where the last three schemes are regarded as strategic schemes to be offered to business partner to ensure incoming traffic volume for both parties. This company and each business partner need to choose an optimal agreement in a certain period of time that can maximize the company’s profit. In this agreement, both parties agree to use a certain trading scheme, rate and rate/volume/revenue deal. A decision support system is then needed in order to give a comprehensive information to the sales officers to deal with the business partners. This paper discusses the mathematical model of the optimal decision for incoming traffic volume control, which is a part of the analysis needed to build the decision support system. The mathematical model is built by first performing data analysis to see how elastic the incoming traffic volume is. As the level of elasticity is obtained, we then derive a mathematical modelling that can simulate the impact of any decision on trading to the revenue of the company. The optimal decision can be obtained from these simulations results. To evaluate the performance of the proposed method we implement our decision model to the historical data. A software tool incorporating our methodology is currently in construction.

  1. A GIS-based decision support system for rainwater harvesting (RHADESS)

    Science.gov (United States)

    Mwenge Kahinda, J.; Taigbenu, A. E.; Sejamoholo, B. B. P.; Lillie, E. S. B.; Boroto, R. J.

    Rainwater harvesting (RWH) is an unconventional water source that is increasingly adopted in South Africa. Its implementation is promoted by non-governmental organisations and government programmes to alleviate temporal and spatial water scarcity for domestic, crop and livestock production and support the overall water resources management. Unreliable water supply is one of the elements central to the poverty level of rural population. As the potential of RWH to improve water access for drinking and other basic human needs is still untapped, the technique will spread further in the coming decades. Studies on the hydrological impacts of RWH are focused on plot scale and very little is known about its impacts at catchment scale. To integrate RWH into the development and management of water resources in South Africa, there is a need to develop tools and methodologies that not only assist planners with the identification of areas suitable but also quantify the associated hydrological impacts of its wide scale adoption. This paper presents the rainwater harvesting decision support system (RHADESS) that was built to assist decision makers and stakeholders by indicating the suitability of RWH in any selected part of South Africa and quantifying the potential impacts associated with its adoption at catchment scale. RHADESS is GIS-based and uses ArcView 3.3 as a platform to assess the RWH suitability of any given area of South Africa. Results are thereafter exported into an Excel spreadsheet that contains the hydrological impact, as runoff reduction, of different levels of adoption of RWH assessed by using the Pitman model. The decision support system guides the implementation of the following RWH categories: Infield RWH and ex-field RWH and domestic RWH. RHADESS was tested in two selected quaternary catchments C52A and V13D located in the Upper Orange water management area and the Thukela water management area, respectively.

  2. Designing an automated clinical decision support system to match clinical practice guidelines for opioid therapy for chronic pain

    Directory of Open Access Journals (Sweden)

    Clark Michael E

    2010-04-01

    Full Text Available Abstract Background Opioid prescribing for chronic pain is common and controversial, but recommended clinical practices are followed inconsistently in many clinical settings. Strategies for increasing adherence to clinical practice guideline recommendations are needed to increase effectiveness and reduce negative consequences of opioid prescribing in chronic pain patients. Methods Here we describe the process and outcomes of a project to operationalize the 2003 VA/DOD Clinical Practice Guideline for Opioid Therapy for Chronic Non-Cancer Pain into a computerized decision support system (DSS to encourage good opioid prescribing practices during primary care visits. We based the DSS on the existing ATHENA-DSS. We used an iterative process of design, testing, and revision of the DSS by a diverse team including guideline authors, medical informatics experts, clinical content experts, and end-users to convert the written clinical practice guideline into a computable algorithm to generate patient-specific recommendations for care based upon existing information in the electronic medical record (EMR, and a set of clinical tools. Results The iterative revision process identified numerous and varied problems with the initially designed system despite diverse expert participation in the design process. The process of operationalizing the guideline identified areas in which the guideline was vague, left decisions to clinical judgment, or required clarification of detail to insure safe clinical implementation. The revisions led to workable solutions to problems, defined the limits of the DSS and its utility in clinical practice, improved integration into clinical workflow, and improved the clarity and accuracy of system recommendations and tools. Conclusions Use of this iterative process led to development of a multifunctional DSS that met the approval of the clinical practice guideline authors, content experts, and clinicians involved in testing. The

  3. Perceptions of risk, risk aversion, and barriers to adoption of decision support systems and integrated pest management: an introduction.

    Science.gov (United States)

    Gent, David H; De Wolf, Erick; Pethybridge, Sarah J

    2011-06-01

    Rational management of plant diseases, both economically and environmentally, involves assessing risks and the costs associated with both correct and incorrect tactical management decisions to determine when control measures are warranted. Decision support systems can help to inform users of plant disease risk and thus assist in accurately targeting events critical for management. However, in many instances adoption of these systems for use in routine disease management has been perceived as slow. The under-utilization of some decision support systems is likely due to both technical and perception constraints that have not been addressed adequately during development and implementation phases. Growers' perceptions of risk and their aversion to these perceived risks can be reasons for the "slow" uptake of decision support systems and, more broadly, integrated pest management (IPM). Decision theory provides some tools that may assist in quantifying and incorporating subjective and/or measured probabilities of disease occurrence or crop loss into decision support systems. Incorporation of subjective probabilities into IPM recommendations may be one means to reduce grower uncertainty and improve trust of these systems because management recommendations could be explicitly informed by growers' perceptions of risk and economic utility. Ultimately though, we suggest that an appropriate measure of the value and impact of decision support systems is grower education that enables more skillful and informed management decisions independent of consultation of the support tool outputs.

  4. Application of Multi-agent Technology to Information Systems: An Agent-based Design Architecture for Decision Support Systems

    Directory of Open Access Journals (Sweden)

    Hao Lan Zhang

    2008-05-01

    Full Text Available One of the most difficult issues in building efficient Information Systems (IS is the integration of these systems with the organization’s other systems. This issue is particularly acute for Decision Support Systems (DSSs. To become more effective and efficient, a DSS must have an open structure to adapt to the dynamic environment. However, current IS, especially DSSs, tend to rely excessively on traditional System Development Life Cycle (SDLC and this places limitations on current systems’ infrastructures. The emergence of multi-agent technology addresses this issue and its applications to IS are becoming highly efficient. In this paper, we introduce a Matrix-Agent connection design, called Agent based Open Connectivity for Decision Support Systems (AOCD, which balances the manageability and flexibility in a system and maximizes system performance.

  5. Analysis of a Multilevel Diagnosis Decision Support System and Its Implications: A Case Study

    Directory of Open Access Journals (Sweden)

    Alejandro Rodríguez-González

    2012-01-01

    Full Text Available Medical diagnosis can be performed in an automatic way with the use of computer-based systems or algorithms. Such systems are usually called diagnostic decision support systems (DDSSs or medical diagnosis systems (MDSs. An evaluation of the performance of a DDSS called ML-DDSS has been performed in this paper. The methodology is based on clinical case resolution performed by physicians which is then used to evaluate the behavior of ML-DDSS. This methodology allows the calculation of values for several well-known metrics such as precision, recall, accuracy, specificity, and Matthews correlation coefficient (MCC. Analysis of the behavior of ML-DDSS reveals interesting results about the behavior of the system and of the physicians who took part in the evaluation process. Global results show how the ML-DDSS system would have significant utility if used in medical practice. The MCC metric reveals an improvement of about 30% in comparison with the experts, and with respect to sensitivity the system returns better results than the experts.

  6. Analysis of a Multilevel Diagnosis Decision Support System and Its Implications: A Case Study

    Science.gov (United States)

    Rodríguez-González, Alejandro; Torres-Niño, Javier; Mayer, Miguel A.; Alor-Hernandez, Giner; Wilkinson, Mark D.

    2012-01-01

    Medical diagnosis can be performed in an automatic way with the use of computer-based systems or algorithms. Such systems are usually called diagnostic decision support systems (DDSSs) or medical diagnosis systems (MDSs). An evaluation of the performance of a DDSS called ML-DDSS has been performed in this paper. The methodology is based on clinical case resolution performed by physicians which is then used to evaluate the behavior of ML-DDSS. This methodology allows the calculation of values for several well-known metrics such as precision, recall, accuracy, specificity, and Matthews correlation coefficient (MCC). Analysis of the behavior of ML-DDSS reveals interesting results about the behavior of the system and of the physicians who took part in the evaluation process. Global results show how the ML-DDSS system would have significant utility if used in medical practice. The MCC metric reveals an improvement of about 30% in comparison with the experts, and with respect to sensitivity the system returns better results than the experts. PMID:23320043

  7. Decision Support System for Indonesian Government Fast E-Tendering Based on Vendor Classification

    Directory of Open Access Journals (Sweden)

    Edi Wahyu Widodo

    2016-06-01

    Full Text Available In the last few years in the world of auctions, electronic auctions become a hot topic for discussion, especially in Indonesia. In Indonesia, the auction has been using online electronic system since 2007 with all its advantages and disadvantages. This system is one of a fairly successful program in a good governance. Until now, there are 620 government agencies in Indonesia have been using this electronic procurement systems[19]. The Government can perform a budget efficiency nearly 5% of the total budget by using today's electronic procurement system. The current system is good enough, but there are still some deficiencies found. Some of solutions to cover the deficiency offered in this paper. Starting from the classification of goods or services according to the UNSPSC, applying business classification with ISIC Indonesia in 2009, recording the activity of vendors for consideration decision, and implementing a decision support system using AHP to facilitate the auction committee to determine the winner. All of above matters are intended to improve the effectiveness and efficiency of the current system.

  8. Decision Support System (DSS) for MSMA Integrated Stormwater Management Ecohydrology for Sustainable Green Infrastructure

    Science.gov (United States)

    Sidek, L. M.; Mohiyaden, H. A.; Haris, H.; Basri, H.; Muda, Z. C.; Roseli, Z. A.; Norlida, M. D.

    2016-03-01

    Rapid urbanization has known to have several adverse impacts towards hydrological cycle due to increasing impervious surface and degradation of water quality in stormwater runoff. In the past, urban waterways have been confined to narrow river corridors with the channels canalised and concrete and other synthetic materials forming the bed and banks of the river. Apart from that, stormwater pollutants such as litter, debris and sediments in drainage system are common problems that can lead to flooding and the degradation of water quality. To solve this problem, implementing stormwater Best Management Practices (BMPs) proves very promising due to its near natural characteristics and multiple effects on the drainage of stormwater runoff in urban areas. This judgment of using BMPs depends on not only relevant theoretical considerations, but also a large amount of practical experience and the availability of relevant data, as well. To fulfil this task, the so-called Decision Support System (DSS) in MSMA Design Aid and Database system are able to assist engineers and developers in management and improvement of water quantity and quality entering urban rivers from urban regions. This system is also helpful when an expert level judgment procure some repetitive and large amount of cases, like in the planning of stormwater BMPs systems for an entire city catchment. One of the advantages of an expert system is that it provides automation of expert-level judgement using availability of checking tools system.

  9. A clinical decision support system with an integrated EMR for diagnosis of peripheral neuropathy.

    Science.gov (United States)

    Kunhimangalam, Reeda; Ovallath, Sujith; Joseph, Paul K

    2014-04-01

    The prevalence of peripheral neuropathy in general population is ever increasing. The diagnosis and classification of peripheral neuropathies is often difficult as it involves careful clinical and electro-diagnostic examination by an expert neurologist. In developing countries a large percentage of the disease remains undiagnosed due to lack of adequate number of experts. In this study a novel clinical decision support system has been developed using a fuzzy expert system. The study was done to provide a solution to the demand of systems that can improve health care by accurate diagnosis in limited time, in the absence of specialists. It employs a graphical user interface and a fuzzy logic controller with rule viewer for identification of the type of peripheral neuropathy. An integrated medical records database is also developed for the storage and retrieval of the data. The system consists of 24 input fields, which includes the clinical values of the diagnostic test and the clinical symptoms. The output field is the disease diagnosis, whether it is Motor (Demyelinating/Axonopathy) neuropathy, sensory (Demyelinating/Axonopathy) neuropathy, mixed type or a normal case. The results obtained were compared with the expert's opinion and the system showed 93.27 % accuracy. The study aims at showing that Fuzzy Expert Systems may prove useful in providing diagnostic and predictive medical opinions. It enables the clinicians to arrive at a better diagnosis as it keeps the expert knowledge in an intelligent system to be used efficiently and effectively.

  10. Design and implementation of visualization methods for the CHANGES Spatial Decision Support System

    Science.gov (United States)

    Cristal, Irina; van Westen, Cees; Bakker, Wim; Greiving, Stefan

    2014-05-01

    The CHANGES Spatial Decision Support System (SDSS) is a web-based system aimed for risk assessment and the evaluation of optimal risk reduction alternatives at local level as a decision support tool in long-term natural risk management. The SDSS use multidimensional information, integrating thematic, spatial, temporal and documentary data. The role of visualization in this context becomes of vital importance for efficiently representing each dimension. This multidimensional aspect of the required for the system risk information, combined with the diversity of the end-users imposes the use of sophisticated visualization methods and tools. The key goal of the present work is to exploit efficiently the large amount of data in relation to the needs of the end-user, utilizing proper visualization techniques. Three main tasks have been accomplished for this purpose: categorization of the end-users, the definition of system's modules and the data definition. The graphical representation of the data and the visualization tools were designed to be relevant to the data type and the purpose of the analysis. Depending on the end-users category, each user should have access to different modules of the system and thus, to the proper visualization environment. The technologies used for the development of the visualization component combine the latest and most innovative open source JavaScript frameworks, such as OpenLayers 2.13.1, ExtJS 4 and GeoExt 2. Moreover, the model-view-controller (MVC) pattern is used in order to ensure flexibility of the system at the implementation level. Using the above technologies, the visualization techniques implemented so far offer interactive map navigation, querying and comparison tools. The map comparison tools are of great importance within the SDSS and include the following: swiping tool for comparison of different data of the same location; raster subtraction for comparison of the same phenomena varying in time; linked views for comparison

  11. Open Source and Open Standard based decision support system: the example of lake Verbano floods management.

    Science.gov (United States)

    Cannata, Massimiliano; Antonovic, Milan; Pozzoni, Maurizio; Graf, Andrea

    2015-04-01

    The Locarno area (Switzerland, Canton Ticino) is exposed to lacual floods with a return period of about 7-8 years. The risk is of particular concern because the area is located in a floodplain that registered in the last decades a great increase in settlement and values of the real estates. Moreover small differences in lake altitude may produce a significant increase in flooded area due to the very low average slope of the terrain. While fatalities are not generally registered, several important economic costs are associated, e.g.: damages to real estates, interruption of activities, evacuation and relocation and environmental damages. While important events were registered in 1978, 1993, 2000, 2002 and 2014 the local stakeholder invested time and money in the set-up of an up-to-date decision support system that allows for the reduction of risks. Thanks to impressive technological advances the visionary concept of the Digital Earth (Gore 1992, 1998) is being realizing: geospatial coverages and monitoring systems data are increasingly available on the Web, and more importantly, in a standard format. As a result, today is possible to develop innovative decision support systems (Molinari et al. 2013) which mesh-up several information sources and offers special features for risk scenarios evaluation. In agreement with the exposed view, the authors have recently developed a new Web system whose design is based on the Service Oriented Architecture pattern. Open source software (e.g.: Geoserver, PostGIS, OpenLayers) has been used throughout the whole system and geospatial Open Standards (e.g.: SOS, WMS, WFS) are the pillars it rely on. SITGAP 2.0, implemented in collaboration with the Civil protection of Locarno e Vallemaggia, combines a number of data sources such as the Federal Register of Buildings and Dwellings, the Cantonal Register of residents, the Cadastral Surveying, the Cantonal Hydro-meteorological monitoring observations, the Meteoswiss weather forecasts, and

  12. Evaluating acceptance and user experience of a guideline-based clinical decision support system execution platform.

    Science.gov (United States)

    Buenestado, David; Elorz, Javier; Pérez-Yarza, Eduardo G; Iruetaguena, Ander; Segundo, Unai; Barrena, Raúl; Pikatza, Juan M

    2013-04-01

    This study aims to determine what the initial disposition of physicians towards the use of Clinical Decision Support Systems (CDSS) based on Computerised Clinical Guidelines and Protocols (CCGP) is; and whether their prolonged utilisation has a positive effect on their intention to adopt them in the future. For a period of 3 months, 8 volunteer paediatricians monitored each up to 10 asthmatic patients using two CCGPs deployed in the-GuidesMed CDSS. A Technology Acceptance Model (TAM) questionnaire was supplied to them before and after using the system. Results from both questionnaires are analysed searching for significant improvements in opinion between them. An additional survey was performed to analyse the usability of the system. It was found that initial disposition of physicians towards e-GuidesMed is good. Improvement between the pre and post iterations of the TAM questionnaire has been found to be statistically significant. Nonetheless, slightly lower values in the Compatibility and Habit variables show that participants perceive possible difficulties to integrate e-GuidesMed into their daily routine. The variable Facilitators shows the highest correlation with the Intention to Use. Usability of the system has also been rated very high and, in this regard, no fundamental flaw has been detected. Initial views towards e-GuidesMed are positive, and become reinforced after continued utilisation of the system. In order to achieve an effective implementation, it becomes essential to facilitate conditions to integrate the system into the physician's daily routine.

  13. STRUCTURE AND CONTENTS OF A DECISION SUPPORT SYSTEM IN THE PREFERENTIAL MEDICINAL MAINTENANCE SPHERE

    Directory of Open Access Journals (Sweden)

    Khalafyan A. A.

    2016-04-01

    Full Text Available According to the Federal Law "On state social assistance" of 17 July 1999 ( 178-FL, the medicaleconomic preferential drugs prescription control (MEC is considered to be one of the tools for improving the management activity by enhancing the information efficiency and reliability at all management levels in the health care hierarchical structure. MEC is one of the medical care quality examination forms. Theoretical and applied research of system linkages and regularities of the MEC process functioning is a relevant direction of information technologies development in medicine. The importance of application of system analysis methods to the health care sphere consists in the development of new and the improvement of existing methods and analysis tools, data processing and management of complex automation systems of medical and economic drugs prescription validity control (MEC planning. The developed decision support system (DSS includes the MEC information system as basic and the ABC / VEN-analysis subsystem, implemented as a standalone application. The interaction between the DSS modules is provided by the unified exchange formats of preferential recipes data. At the same time, the MEC information system and ABC / VEN-analysis subsystem could be the most effective tools as an integral part of situational centers

  14. A Decision Support System For Equipment Allocation In A Telemedicine Referral Network

    Directory of Open Access Journals (Sweden)

    Treurnicht, Maria J.

    2014-05-01

    Full Text Available Telemedicine applications have had much success in strengthening health systems worldwide. Unfortunately, many systems are implemented without decisions based on proper needs assessments. In South Africa, this technology push approach has led to a large amount of equipment standing dormant. It is proposed that the potential of telemedicine be measured prior to implementation, thus pulling the technology towards a clinical need. A decision support system is developed that uses health informatics and computational intelligence to determine the need for telemedicine and to allocate equipment in a network of facilities to achieve the best cost benefit. The system facilitates the collection and storage of electronic health record (EHR data in a data warehouse. A linear programming model is used with a genetic algorithm. The system was developed and tested for the South African public health sector, using data from 27 hospitals in the Western Cape Province. Results have shown that if telemedicine workstations with specific peripheral equipment, as determined by the algorithm, were implemented in the given period, an estimated R8.7 million in referral costs could have been saved for the 27 hospitals. Thus the case study provided evidence for the benefits of implementation in the chosen network of hospitals. This new application of health informatics could provide telemedicine management with a useful tool for making implementation decisions based on evidence. Future work would include the development of similar systems for other markets.

  15. Physicians’ use of computerized clinical decision supports to improve medication management in the elderly – the Seniors Medication Alert and Review Technology intervention

    Directory of Open Access Journals (Sweden)

    Alagiakrishnan K

    2016-01-01

    Full Text Available Kannayiram Alagiakrishnan,1 Patricia Wilson,2 Cheryl A Sadowski,3 Darryl Rolfson,1 Mark Ballermann,4,5 Allen Ausford,6,7 Karla Vermeer,7 Kunal Mohindra,8 Jacques Romney,9 Robert S Hayward10 1Department of Medicine, Division of Geriatric Medicine, 2Department of Medicine, 3Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, 4Chief Medical Information Office, Alberta Health Services, 5Division of Critical Care, Department of Medicine, University of Alberta, 6Department of Family Medicine, University of Alberta, 7Lynwood Family Physician, 8eClinician EMR, Alberta Health Services-Information Systems, 9Department of Medicine, Division of Endocrinology, 10Division of General Internal Medicine, University of Alberta, Edmonton, AB, Canada Background: Elderly people (aged 65 years or more are at increased risk of polypharmacy (five or more medications, inappropriate medication use, and associated increased health care costs. The use of clinical decision support (CDS within an electronic medical record (EMR could improve medication safety.Methods: Participatory action research methods were applied to preproduction design and development and postproduction optimization of an EMR-embedded CDS implementation of the Beers’ Criteria for medication management and the Cockcroft–Gault formula for estimating glomerular filtration rates (GFR. The “Seniors Medication Alert and Review Technologies” (SMART intervention was used in primary care and geriatrics specialty clinics. Passive (chart messages and active (order-entry alerts prompts exposed potentially inappropriate medications, decreased GFR, and the possible need for medication adjustments. Physician reactions were assessed using surveys, EMR simulations, focus groups, and semi-structured interviews. EMR audit data were used to identify eligible patient encounters, the frequency of CDS events, how alerts were managed, and when evidence links were followed.Results: Analysis of

  16. Development of GIS-Based Decision Support System for Optimizing Transportation Cost in Underground Limestone Mining

    Science.gov (United States)

    Oh, Sungchan; Park, Jihwan; Suh, Jangwon; Lee, Sangho; Choi, Youngmin

    2014-05-01

    In mining industry, large amount of cost has been invested in early stages of mine development such as prospecting, exploration, and discovery. Recent changes in mining, however, also raised the cost in operation, production, and environmental protection because ore depletion at shallow depth caused large-scale, deep mining. Therefore, many mining facilities are installed or relocated underground to reduce transportation cost as well as environmental pollution. This study presents GIS-based decision support system that optimizes transportation cost from various mining faces to mine facility in underground mines. The development of this system consists of five steps. As a first step, mining maps were collected which contains underground geo-spatial informations. In mine maps, then, mine network and contour data were converted to GIS format in second step for 3D visualization and spatial analysis. In doing so, original tunnel outline data were digitized with ground level, and converted to simplified network format, and surface morphology, contours were converted to digital elevation model (DEM). The next step is to define calculation algorithm of transportation cost. Among the many component of transportation cost, this study focused on the fuel cost because it can be easily estimated if mining maps are available by itself. The cost were calculated by multiplication of the number of blasting, haulage per blasting, distance between mining faces to facility, fuel cost per liter, and two for downhill and uphill, divided by fuel efficiency of mining trucks. Finally, decision support system, SNUTunnel was implemented. For the application of SNUTunnel in actual underground mine, Nammyeong Development Corporation, Korea, was selected as study site. This mine produces limestone with high content of calcite for paper, steel manufacture, or desulfurization, and its development is continuously ongoing to reach down to deeper calcite ore body, so the mine network is expanding

  17. Integrating NASA Earth Science Enterprise (ESE) Data Into Global Agricultural Decision Support Systems

    Science.gov (United States)

    Teng, W.; Kempler, S.; Chiu, L.; Doraiswamy, P.; Liu, Z.; Milich, L.; Tetrault, R.

    2003-12-01

    Monitoring global agricultural crop conditions during the growing season and estimating potential seasonal production are critically important for market development of U.S. agricultural products and for global food security. Two major operational users of satellite remote sensing for global crop monitoring are the USDA Foreign Agricultural Service (FAS) and the U.N. World Food Programme (WFP). The primary goal of FAS is to improve foreign market access for U.S. agricultural products. The WFP uses food to meet emergency needs and to support economic and social development. Both use global agricultural decision support systems that can integrate and synthesize a variety of data sources to provide accurate and timely information on global crop conditions. The Goddard Space Flight Center Earth Sciences Distributed Active Archive Center (GES DAAC) has begun a project to provide operational solutions to FAS and WFP, by fully leveraging results from previous work, as well as from existing capabilities of the users. The GES DAAC has effectively used its recently developed prototype TRMM Online Visualization and Analysis System (TOVAS) to provide ESE data and information to the WFP for its agricultural drought monitoring efforts. This prototype system will be evolved into an Agricultural Information System (AIS), which will operationally provide ESE and other data products (e.g., rainfall, land productivity) and services, to be integrated into and thus enhance the existing GIS-based, decision support systems of FAS and WFP. Agriculture-oriented, ESE data products (e.g., MODIS-based, crop condition assessment product; TRMM derived, drought index product) will be input to a crop growth model in collaboration with the USDA Agricultural Research Service, to generate crop condition and yield prediction maps. The AIS will have the capability for remotely accessing distributed data, by being compliant with community-based interoperability standards, enabling easy access to

  18. THE APPLICATION OF A COMPUTERISED DECISION SUPPORT SYSTEM FOR GENERATOR MAINTENANCE SCHEDULING: A SOUTH AFRICAN CASE STUDY

    Directory of Open Access Journals (Sweden)

    Schlünz, E. B.

    2012-11-01

    Full Text Available In the generator maintenance scheduling (GMS problem, a schedule is sought for the planned maintenance outages of generating units in a power system. The GMS model considered in this paper is formulated as a mixed-integer quadratic program assuming a reliability objective, subject to certain constraints. A generic GMS solution methodology is derived, capable of solving general GMS problem instances that conform to this model structure, and implemented in a computerised decision support system. The decision support system is then used to solve a real-life case study in the South African national power system.

  19. DEVELOPING EXPERT DECISION SUPPORT SYSTEM WTH VP-EXPERT AND LOTUS 1-2-3 IN RE -BLENDING BY USE

    Institute of Scientific and Technical Information of China (English)

    舒航; 杨鹏

    1994-01-01

    An expert decision support system (EDSS) for multi-bins balance and control of ore quality in production ore bins of some large-scale open pit iron mine in China has been developed by expert system tool software VP-EXPERT and integration software LOTUS 1-2-3 in this paper. It is known by practicing that a medium-scale EDSS constructed on microcomputer is completely feasible by means of VP-EXEPERT to construct knowledge base system (KBS), LOTUS 1-2-3 to make decision support system (DSS) and link them with BAT.

  20. Renal Drug Dosing. Effectiveness of Outpatient Pharmacist-Based vs. Prescriber-Based Clinical Decision Support Systems.

    Science.gov (United States)

    Vogel, Erin A; Billups, Sarah J; Herner, Sheryl J; Delate, Thomas

    2016-07-27

    The purpose of this study was to compare the effectiveness of an outpatient renal dose adjustment alert via a computerized provider order entry (CPOE) clinical decision support system (CDSS) versus a CDSS with alerts made to dispensing pharmacists. This was a retrospective analysis of patients with renal impairment and 30 medications that are contraindicated or require dose-adjustment in such patients. The primary outcome was the rate of renal dosing errors for study medications that were dispensed between August and December 2013, when a pharmacist-based CDSS was in place, versus August through December 2014, when a prescriber-based CDSS was in place. A dosing error was defined as a prescription for one of the study medications dispensed to a patient where the medication was contraindicated or improperly dosed based on the patient's renal function. The denominator was all prescriptions for the study medications dispensed during each respective study period. During the pharmacist- and prescriber-based CDSS study periods, 49,054 and 50,678 prescriptions, respectively, were dispensed for one of the included medications. Of these, 878 (1.8%) and 758 (1.5%) prescriptions were dispensed to patients with renal impairment in the respective study periods. Patients in each group were similar with respect to age, sex, and renal function stage. Overall, the five-month error rate was 0.38%. Error rates were similar between the two groups: 0.36% and 0.40% in the pharmacist- and prescriber-based CDSS, respectively (p=0.523). The medication with the highest error rate was dofetilide (0.51% overall) while the medications with the lowest error rate were dabigatran, fondaparinux, and spironolactone (0.00% overall). Prescriber- and pharmacist-based CDSS provided comparable, low rates of potential medication errors. Future studies should be undertaken to examine patient benefits of the prescriber-based CDSS.

  1. Design and Implementation of a Robust Decision Support System for Marine Space Resource Utilization

    Directory of Open Access Journals (Sweden)

    Jing Xie

    2016-08-01

    Full Text Available Increasing coastal space resource utilization (CSRU activities and their impact on coastal environments has been recognized as a critical coastal zone stressor. Consequently, the need for sustainable and valid CSRU management has been highlighted. In this study, a highly-intelligent prototype decision-aided system for CSRU was developed. In contrast with existing coastal decision-aided systems, this system is aimed at the management of CSRU, providing reliable and dynamic numerical simulation, analysis, and aided decision making for real coastal engineering based on a self-developed fully automatic numerical program. It was established on multi-tier distributed architecture based on Java EE. The most efficient strategies for spatial data organization, automatic coastal numerical programs, and impact assessment modules are demonstrated. In addition, its integrated construction involving the addition of a new coastal project on the webpage, its one-click numerical prediction of coastal environmental impacts, assessments based on numerical results, and its aided decision-making capabilities are addressed. The system was applied to Ningbo Sea, China, establishing the Ningbo CSRU Decision Support System. Two projects were demonstrated: one reclamation project and one land-based outlet planning case. Results indicated that these projects had detrimental effects on local coastal environments. Therefore, the approvals of these projects were not recommended.

  2. An Interactive Real-time Decision Support System for Leachate Irrigation on Evapotranspiration Landfill Covers

    Science.gov (United States)

    Wang, Y.

    2015-12-01

    Landfill disposal is still the most common and economical practice for municipal solid waste in most countries. However, heavily polluted leachate generated by excess rainwater percolating through the landfill waste is the major drawback of this practice. Evapotranspiration (ET) cover systems are increasingly being used as alternative cover systems to minimize percolation by evapotranspiration. Leachate recirculation is one of the least expensive options for leachate treatment. The combination of ET cover systems and leachate recirculation can be an economical and environment-friendly practice for landfill leachate management. An interactive real-time decision support system is being developed to better manage leachate irrigation using historical and forecasting weather data, and real time soil moisture data. The main frame of this system includes soil water modules, and plant-soil modules. An inverse simulation module is also included to calibrate certain parameters based on observed data when necessary. It would be an objectives-oriented irrigation management tool to minimize landfill operation costs and negative environmental impacts.

  3. TECHNICAL ANALYSIS OF FUZZY METAGRAPH BASED DECISION SUPPORT SYSTEM FOR CAPITAL MARKET

    Directory of Open Access Journals (Sweden)

    Anbalagan Thirunavukarasu

    2013-01-01

    Full Text Available This study proposes a Fuzzy Metagraph based Decision Support System (DSS for short term and long term investment in share market. This rule base decision system will help traders to make correct decision at very low risk. Relative Strength Index (RSI, Moving Average Convergence Divergence (MACD and WILLIAM- %R are some of the Technical Indicators which are used as input to train the system which is integrated with Fuzzy Metagraph. This approach of incorporating Fuzzy Metagraph with RSI, MACD and WILLIAM-%R would be a new attempt in decision making on share market investment. Stocks listed in Bombay Stock Exchange (BSE in India are used to evaluate the performance of the system. The results obtained from the proposed Fuzzy Metagraph based model are found to be satisfactory with very low risk. Three most used technical indicators MACD, RSI and WILLIAM-%R integrated with Fuzzy Metagraph are used to support the system. This method reduces the risk factor considerably for both short term and long term investors.

  4. Intelligent decision support system of operation-optimization in copper smelting converter

    Institute of Scientific and Technical Information of China (English)

    姚俊峰; 梅炽; 彭小奇; 周安梁; 吴冬华

    2002-01-01

    An artificial intelligence technique was applied to the optimization of flux-adding systems and air-blasting systems, the display of on-line parameters, forecasting of mass and compositions of slag in the slagging period, optimization of cold material-adding systems and air-blasting systems, the display of on-line parameters, and the forecasting of copper mass in the copper blow period in copper smelting converters. They were integrated to build the Intelligent Decision Support System of the Operation-Optimization of Copper Smelting Converter(IDSSOOCSC), which is self-learning and self-adaptating. Development steps, monoblock structure and basic functions of the IDSSOOCSC were introduced. After it was applied in a copper smelting converter, every production quota was clearly improved after IDSSOOCSC had been run for 4 months. Blister copper productivity is increased by 6%, processing load of cold input is increased by 8% and average converter life-span is improved from 213 to 235 furnace times.

  5. Design of a decision support system, trained on GPU, for assisting melanoma diagnosis in dermatoscopy images

    Science.gov (United States)

    Glotsos, Dimitris; Kostopoulos, Spiros; Lalissidou, Stella; Sidiropoulos, Konstantinos; Asvestas, Pantelis; Konstandinou, Christos; Xenogiannopoulos, George; Konstantina Nikolatou, Eirini; Perakis, Konstantinos; Bouras, Thanassis; Cavouras, Dionisis

    2015-09-01

    The purpose of this study was to design a decision support system for assisting the diagnosis of melanoma in dermatoscopy images. Clinical material comprised images of 44 dysplastic (clark's nevi) and 44 malignant melanoma lesions, obtained from the dermatology database Dermnet. Initially, images were processed for hair removal and background correction using the Dull Razor algorithm. Processed images were segmented to isolate moles from surrounding background, using a combination of level sets and an automated thresholding approach. Morphological (area, size, shape) and textural features (first and second order) were calculated from each one of the segmented moles. Extracted features were fed to a pattern recognition system assembled with the Probabilistic Neural Network Classifier, which was trained to distinguish between benign and malignant cases, using the exhaustive search and the leave one out method. The system was designed on the GPU card (GeForce 580GTX) using CUDA programming framework and C++ programming language. Results showed that the designed system discriminated benign from malignant moles with 88.6% accuracy employing morphological and textural features. The proposed system could be used for analysing moles depicted on smart phone images after appropriate training with smartphone images cases. This could assist towards early detection of melanoma cases, if suspicious moles were to be captured on smartphone by patients and be transferred to the physician together with an assessment of the mole's nature.

  6. Towards a climate-driven dengue decision support system for Thailand

    Science.gov (United States)

    Lowe, Rachel; Cazelles, Bernard; Paul, Richard; Rodó, Xavier

    2014-05-01

    Dengue is a peri-urban mosquito-transmitted disease, ubiquitous in the tropics and the subtropics. The geographic distribution of dengue and its more severe form, dengue haemorrhagic fever (DHF), have expanded dramatically in the last decades and dengue is now considered to be the world's most important arboviral disease. Recent demographic changes have greatly contributed to the acceleration and spread of the disease along with uncontrolled urbanization, population growth and increased air travel, which acts as a mechanism for transporting and exchanging dengue viruses between endemic and epidemic populations. The dengue vector and virus are extremely sensitive to environmental conditions such as temperature, humidity and precipitation that influence mosquito biology, abundance and habitat and the virus replication speed. In order to control the spread of dengue and impede epidemics, decision support systems are required that take into account the multi-faceted array of factors that contribute to increased dengue risk. Due to availability of seasonal climate forecasts, that predict the average climate conditions for forthcoming months/seasons in both time and space, there is an opportunity to incorporate precursory climate information in a dengue decision support system to aid epidemic planning months in advance. Furthermore, oceanic indicators from teleconnected areas in the Pacific and Indian Ocean, that can provide some indication of the likely prevailing climate conditions in certain regions, could potentially extend predictive lead time in a dengue early warning system. In this paper we adopt a spatio-temporal Bayesian modelling framework for dengue in Thailand to support public health decision making. Monthly cases of dengue in the 76 provinces of Thailand for the period 1982-2012 are modelled using a multi-layered approach. Environmental explanatory variables at various spatial and temporal resolutions are incorporated into a hierarchical model in order to

  7. Decision-support information system to manage mass casualty incidents at a level 1 trauma center.

    Science.gov (United States)

    Bar-El, Yaron; Tzafrir, Sara; Tzipori, Idan; Utitz, Liora; Halberthal, Michael; Beyar, Rafael; Reisner, Shimon

    2013-12-01

    Mass casualty incidents are probably the greatest challenge to a hospital. When such an event occurs, hospitals are required to instantly switch from their routine activity to conditions of great uncertainty and confront needs that exceed resources. We describe an information system that was uniquely designed for managing mass casualty events. The web-based system is activated when a mass casualty event is declared; it displays relevant operating procedures, checklists, and a log book. The system automatically or semiautomatically initiates phone calls and public address announcements. It collects real-time data from computerized clinical and administrative systems in the hospital, and presents them to the managing team in a clear graphic display. It also generates periodic reports and summaries of available or scarce resources that are sent to predefined recipients. When the system was tested in a nationwide exercise, it proved to be an invaluable tool for informed decision making in demanding and overwhelming situations such as mass casualty events.

  8. A case study in specifying data requirements for a decision support system database

    Energy Technology Data Exchange (ETDEWEB)

    Ng, V.

    1990-08-01

    An atomic database is a collection of detailed and archival data primarily used to support a decision support system (DSS). Typically, atomic data are generated externally from other sources. In order to build an atomic data base in which data represent the information the DSS users expect, detailed data requirements must be specified to the source system. The basic types of information a source system needs are a list of required data items, the frequency and terms of data needs, and the method of interface. A detailed list of required items recommended for inclusion in any specifications of external data requirements is presented in this paper. Because of the volume of information involved in such specifications, a matrix presentation is believed to be the best organizational format to describe the requirements concisely and precisely. The specifications of external data requirements written for the Worldwide Household Goods Information System for Transportation Modernization (WHIST-MOD) project for the Personal Property Directorate (MTPP) of the Military Traffic Management Command (MTMC) are presented as a case study in this paper. It has been shown that the specifications in this case study effectively serve the objective of such a document. It is recommended that the concept presented in this paper be used as a guideline in specifying data requirements for an atomic database. 5 refs., 2 figs.

  9. A decision support system for drinking water production integrating health risks assessment.

    Science.gov (United States)

    Delpla, Ianis; Monteith, Donald T; Freeman, Chris; Haftka, Joris; Hermens, Joop; Jones, Timothy G; Baurès, Estelle; Jung, Aude-Valérie; Thomas, Olivier

    2014-07-18

    The issue of drinking water quality compliance in small and medium scale water services is of paramount importance in relation to the 98/83/CE European Drinking Water Directive (DWD). Additionally, concerns are being expressed over the implementation of the DWD with respect to possible impacts on water quality from forecast changes in European climate with global warming and further anticipated reductions in north European acid emissions. Consequently, we have developed a decision support system (DSS) named ARTEM-WQ (AwaReness Tool for the Evaluation and Mitigation of drinking Water Quality issues resulting from environmental changes) to support decision making by small and medium plant operators and other water stakeholders. ARTEM-WQ is based on a sequential risk analysis approach that includes consideration of catchment characteristics, climatic conditions and treatment operations. It provides a holistic evaluation of the water system, while also assessing human health risks of organic contaminants potentially present in treated waters (steroids, pharmaceuticals, pesticides, bisphenol-a, polychlorobiphenyls, polycyclic aromatic hydrocarbons, petrochemical hydrocarbons and disinfection by-products; n = 109). Moreover, the system provides recommendations for improvement while supporting decision making in its widest context. The tool has been tested on various European catchments and shows a promising potential to inform water managers of risks and appropriate mitigative actions. Further improvements should include toxicological knowledge advancement, environmental background pollutant concentrations and the assessment of the impact of distribution systems on water quality variation.

  10. A Decision Support System for Drinking Water Production Integrating Health Risks Assessment

    Directory of Open Access Journals (Sweden)

    Ianis Delpla

    2014-07-01

    Full Text Available The issue of drinking water quality compliance in small and medium scale water services is of paramount importance in relation to the 98/83/CE European Drinking Water Directive (DWD. Additionally, concerns are being expressed over the implementation of the DWD with respect to possible impacts on water quality from forecast changes in European climate with global warming and further anticipated reductions in north European acid emissions. Consequently, we have developed a decision support system (DSS named ARTEM-WQ (AwaReness Tool for the Evaluation and Mitigation of drinking Water Quality issues resulting from environmental changes to support decision making by small and medium plant operators and other water stakeholders. ARTEM-WQ is based on a sequential risk analysis approach that includes consideration of catchment characteristics, climatic conditions and treatment operations. It provides a holistic evaluation of the water system, while also assessing human health risks of organic contaminants potentially present in treated waters (steroids, pharmaceuticals, pesticides, bisphenol-a, polychlorobiphenyls, polycyclic aromatic hydrocarbons, petrochemical hydrocarbons and disinfection by-products; n = 109. Moreover, the system provides recommendations for improvement while supporting decision making in its widest context. The tool has been tested on various European catchments and shows a promising potential to inform water managers of risks and appropriate mitigative actions. Further improvements should include toxicological knowledge advancement, environmental background pollutant concentrations and the assessment of the impact of distribution systems on water quality variation.

  11. Web-based Expert Decision Support System for Tourism Destination Management in Nigeria

    Directory of Open Access Journals (Sweden)

    Yekini Nureni Asafe

    2013-04-01

    Full Text Available The use of Information Technologies have played and currently playing prominent roles in many organizations, such as business, education, commerce. The tourism industry has witnessed the use and application of various computer-based systems in carrying out one or more activities or operation. But currently there is no computer-based system tourist destination to integrate the tourists (from outside Nigeria and tourists center within Nigeria, so that tourists can make a pre destination plan and decision before venturing into tourism journey to the country Nigeria. The authors of this paper proposed the design of web-based Expert Decision System (WEDSS, to provide tourist to Nigeria and its environ essential data and tools to managing their tours and to base all the decisions concerning to queries on the, tourist centers and hotels based on the following issue; climate, road conditions, cultural aspects, lodging, health facilities, banking, etc. of the location to be visited on sound and rational bases. Web-Based Tourist Decision Support System (WEDSS for Nigeria will be developed to allow the tourist to find their route in Nigeria and ask for information about sights, accommodations and other places of interest which are nearby to him to improve the convenience, safety, efficiency of travel and enhance tourism attraction of tourists.

  12. Decision support systems and applications in ophthalmology: literature and commercial review focused on mobile apps.

    Science.gov (United States)

    de la Torre-Díez, Isabel; Martínez-Pérez, Borja; López-Coronado, Miguel; Díaz, Javier Rodríguez; López, Miguel Maldonado

    2015-01-01

    The growing importance that mobile devices have in daily life has also reached health care and medicine. This is making the paradigm of health care change and the concept of mHealth or mobile health more relevant, whose main essence is the apps. This new reality makes it possible for doctors who are not specialist to have easy access to all the information generated in different corners of the world, making them potential keepers of that knowledge. However, the new daily information exceeds the limits of the human intellect, making Decision Support Systems (DSS) necessary for helping doctors to diagnose diseases and also help them to decide the attitude that has to be taken towards these diagnoses. These could improve the health care in remote areas and developing countries. All of this is even more important in diseases that are more prevalent in primary care and that directly affect the people's quality of life, this is the case in ophthalmological problems where in first patient care a specialist in ophthalmology is not involved. The goal of this paper is to analyse the state of the art of DSS in Ophthalmology. Many of them focused on diseases affecting the eye's posterior pole. For achieving the main purpose of this research work, a literature review and commercial apps analysis will be done. The used databases and systems will be IEEE Xplore, Web of Science (WoS), Scopus, and PubMed. The search is limited to articles published from 2000 until now. Later, different Mobile Decision Support System (MDSS) in Ophthalmology will be analyzed in the virtual stores for Android and iOS. 37 articles were selected according their thematic (posterior pole, anterior pole, Electronic Health Records (EHRs), cloud, data mining, algorithms and structures for DSS, and other) from a total of 600 found in the above cited databases. Very few mobile apps were found in the different stores. It can be concluded that almost all existing mobile apps are focused on the eye's posterior

  13. Quick start users guide for the PATH/AWARE decision support system.

    Energy Technology Data Exchange (ETDEWEB)

    Knowlton, Robert G.; Melton, Brad J; Einfeld, Wayne; Tucker, Mark D; Franco, David Oliver; Yang, Lynn I.

    2013-06-01

    The Prioritization Analysis Tool for All-Hazards/Analyzer for Wide Area Restoration Effectiveness (PATH/AWARE) software system, developed by Sandia National Laboratories, is a comprehensive decision support tool designed to analyze situational awareness, as well as response and recovery actions, following a wide-area release of chemical, biological or radiological materials. The system provides capability to prioritize critical infrastructure assets and services for restoration. It also provides a capability to assess resource needs (e.g., number of sampling teams, laboratory capacity, decontamination units, etc.), timelines for consequence management activities, and costs. PATH/AWARE is a very comprehensive tool set with a considerable amount of database information managed through a Microsoft SQL (Structured Query Language) database engine, a Geographical Information System (GIS) engine that provides comprehensive mapping capabilities, as well as comprehensive decision logic to carry out the functional aspects of the tool set. This document covers the basic installation and operation of the PATH/AWARE tool in order to give the user enough information to start using the tool. A companion users manual is under development with greater specificity of the PATH/AWARE functionality.

  14. Adoption of web-based group decision support systems: experiences from the field and future developments

    Directory of Open Access Journals (Sweden)

    Jos van Hillegersberg

    2016-01-01

    Full Text Available While organizations have massively adopted enterprise information systems to support business processes, business meetings in which key decisions are made about products, services and processes, are usually held without much support of information systems. This is remarkable as group decision support systems (GDSS seems to fit for this purpose. They have existed for decades and modern versions benefit of web-based technologies, enabling low cost any-place, any time and device independent meeting support. In this exploratory case research, we study nine organizations in four different adoption categories to learn more about the reasons for the relatively slow adoption of web-based GDSS. Using the Fit-Viability adoption framework we conduct interviews with organizations that have experience with using GDSS. We conclude that adopting GDSS requires considerable and carefully planned change of processes that are deeply grounded in the organization. Existing meeting routines need to be adapted. Introduction needs to be carefully planned and room for face-to-face meetings and creativity sessions away from the keyboard need to be built in depending on the type of meeting. Not all companies find the cost level affordable. Clear and convincing business cases are lacking. Still the added value is ranked highly and there are frequent and enthusiastic user organizations that may lead the way for others. Their success stories show others how to mitigate problems.

  15. ANALYSIS AND SYNTHESIS OF A DECISION SUPPORT SYSTEM WITHIN MEDICALECONOMIC PREFERENTIAL DRUGS PRESCRIPTION CONTROL

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    Koshkarov A. A.

    2016-05-01

    Full Text Available There are about 575 thousand of citizens in the Krasnodar Region that are entitled to a preferential medical maintenance in accordance with the Federal Law of 17.07.1999 (№178-FZ "On state social assistance." About 120 thousand of preferential prescriptions for 150 thousand of medicines are serviced per month. In order to make the drugs prescription process based exceptionally on real medical indications in accordance with modern concepts of medical service quality it is necessary to plan the medical-economic drugs prescription validity control (MEC. The work proposes the analysis and synthesis method of decision support system (DSS modules for automation the selection of drugs prescription and medicinal maintenance cases, concerning the federal benefit recipients, while performing the MEC. DSS allows medical experts to estimate the efficiency of federal funds costs, that are spent on the preferential medicinal maintenance, moreover, it can serve as a basis for future purchases planning, as well as to correct and improve the efficiency of medical prescriptions. The DSS was developed in accordance with the approved procedure of information exchange in the Krasnodar Region; it involves the integration with existing systems. Furthermore, as the federal register of persons, entitled to the state social assistance, has common formats among all the Russian Federation subjects, the developed system can be easily adapted in other regions

  16. Including long-term biological index performance in a multi-criteria Decision Support System

    Science.gov (United States)

    Waddle, T.; Bowen, Z.; Bovee, K.D.

    1999-01-01

    A Decision Support System (DSS) was developed for the reservoirs operated by the U.S. Bureau of Reclamation that incorporates biological resources in a palette of decision variables. A scoring technique was developed for the DSS to help to evaluate the long-term effects of proposed reservoir system operations on those variables. The biological component of the DSS was developed to help Bureau of Reclamation reservoir operators evaluate the effects of different scenarios of reservoir operations on a variety of water-related biological resources. In this DSS, Reclamation's Reservoir Operations Modeling System (ROMS) is linked to modules evaluating power production, flood control benefits, irrigation water deliveries, municipal and industrial water supplies, habitat for endemic fish communities, tailwater fisheries, nesting habitat for shorebirds, reservoir recreation, reservoir fisheries, and regeneration of riparian cottonwood forests. Operation scenarios generated in ROMS are scored for each decision variable by comparison to a target range of a decision variable for a reference location and time period. The score for a variable is calculated based on the ratio between the percent of time that target conditions are met under alternative operating conditions and under the reference condition, respectively. A scoring technique was developed that recognizes that under either natural or highly managed conditions the reference target is not met at all times. Higher scores are achieved for environmental decision variables by operations scenarios that approach natural seasonal and annual variability in habitat availability.

  17. Enhanced Decision Support Systems in Intensive Care Unit Based on Intuitionistic Fuzzy Sets

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    Hanen Jemal

    2017-01-01

    Full Text Available In areas of medical diagnosis and decision-making, several uncertainty and ambiguity shrouded situations are most often imposed. In this regard, one may well assume that intuitionistic fuzzy sets (IFS should stand as a potent technique useful for demystifying associated with the real healthcare decision-making situations. To this end, we are developing a prototype model helpful for detecting the patients risk degree in Intensive Care Unit (ICU. Based on the intuitionistic fuzzy sets, dubbed Medical Intuitionistic Fuzzy Expert Decision Support System (MIFEDSS, the shown work has its origins in the Modified Early Warning Score (MEWS standard. It is worth noting that the proposed prototype effectiveness validation is associated through a real case study test at the Polyclinic ESSALEMA cited in Sfax, Tunisia. This paper does actually provide some practical initial results concerning the system as carried out in real life situations. Indeed, the proposed system turns out to prove that the MIFEDSS does actually display an imposing capability for an established handily ICU related uncertainty issues. The performance of the prototypes is compared with the MEWS standard which exposed that the IFS application appears to perform highly better in deferring accuracy than the expert MEWS score with higher degrees of sensitivity and specificity being recorded.

  18. A Descriptive Analysis of Decision Support Systems Research Between 1990 and 2003

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    David Arnott

    2005-05-01

    Full Text Available This paper is the first major report of a project that is investigating the theoretic foundations of decision support systems (DSS. The project was principally motivated by a concern for the direction and relevance of DSS research. The main areas of research focus are the decision and judgement theoretic base of the discipline, the research strategies used in published articles, and the professional relevance of DSS research. The project has analysed 926 DSS articles published in 14 major journals from 1990 to 2003. The findings indicate that DSS research is more dominated by positivist research than general information systems (in particular experiments, surveys, and descriptions of specific applications and systems, is heavily influenced by the work of Herbert Simon, is poorly grounded in contemporary judgement and decision-making research, and falls down in the identification of the nature of clients and users. Of great concern is the finding that DSS research has relatively low professional relevance. An overview of the direction of further analysis is presented.

  19. Will decision-support systems be widely used for the management of plant diseases?

    Science.gov (United States)

    Shtienberg, Dani

    2013-01-01

    Decision-support systems (DSSs) are interactive computer-based systems that help decision makers solve unstructured problems under complex, uncertain conditions. Experimental use of DSSs has resulted in improved disease suppression and lowered risks of crop damage. In many cases, it has also led to the use of smaller quantities of active substances, as compared with standard spraying practices. Hundreds of DSSs have been developed over the years and are readily available and affordable. However, most farm managers do not use them as part of their integrated pest management (IPM) practices. Since the mid-1980s, the author of this paper, together with numerous colleagues, has developed DSSs and decision rules for the management of diseases in a variety of crops, including extensive crops, such as wheat, sunflower, and pea; semi-intensive crops, such as pear, chickpea, cotton, and tarragon; and intensive crops, such as tomato, potato, cucumber, sweet pepper, carrot, and grapevine. Some of these systems were used widely, but others were not. This experience may allow us to draw general conclusions regarding the use of DSSs and decision rules. Possible explanations for the widely varying acceptance rates are presented, and the effects of anticipated changes in the agribusiness sector on the future use of DSSs are discussed.

  20. Operator decision support system for integrated wastewater management including wastewater treatment plants and receiving water bodies.

    Science.gov (United States)

    Kim, Minsoo; Kim, Yejin; Kim, Hyosoo; Piao, Wenhua; Kim, Changwon

    2016-06-01

    An operator decision support system (ODSS) is proposed to support operators of wastewater treatment plants (WWTPs) in making appropriate decisions. This system accounts for water quality (WQ) variations in WWTP influent and effluent and in the receiving water body (RWB). The proposed system is comprised of two diagnosis modules, three prediction modules, and a scenario-based supporting module (SSM). In the diagnosis modules, the WQs of the influent and effluent WWTP and of the RWB are assessed via multivariate analysis. Three prediction modules based on the k-nearest neighbors (k-NN) method, activated sludge model no. 2d (ASM2d) model, and QUAL2E model are used to forecast WQs for 3 days in advance. To compare various operating alternatives, SSM is applied to test various predetermined operating conditions in terms of overall oxygen transfer coefficient (Kla), waste sludge flow rate (Qw), return sludge flow rate (Qr), and internal recycle flow rate (Qir). In the case of unacceptable total phosphorus (TP), SSM provides appropriate information for the chemical treatment. The constructed ODSS was tested using data collected from Geumho River, which was the RWB, and S WWTP in Daegu City, South Korea. The results demonstrate the capability of the proposed ODSS to provide WWTP operators with more objective qualitative and quantitative assessments of WWTP and RWB WQs. Moreover, the current study shows that ODSS, using data collected from the study area, can be used to identify operational alternatives through SSM at an integrated urban wastewater management level.