Decision Support System Abstract

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Healthcare Decision Support System for Administration of ...

    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4141131/
    Jul 31, 2014 · A healthcare decision support system (HDSS) is the tool selected to provide guidelines, which uses the concept of a clinical decision support system (CDSS) appropriately modified with respect to chronic patients . The HDSS is a newly named decision support system designed in this study.Cited by: 7

(PDF) Decision Support Systems: an Overview

    https://www.researchgate.net/publication/281085064_Decision_Support_Systems_an_Overview
    Decision Support Systems: an Overview ... (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. ... A decision support system involves ...

Guide for authors - Decision Support Systems - ISSN 0167-9236

    https://www.elsevier.com/journals/decision-support-systems/0167-9236/guide-for-authors
    Decision Support Systems; Guide for authors; Guide for Authors. ... Submission Our online submission system guides you stepwise through the process of entering your article details and uploading your files. The system converts your article files to a single PDF file used in the peer-review process. ... Graphical abstract Although a graphical ...

The Accuracy and Potential Impact of a Diagnostic Decision ...

    https://acrabstracts.org/abstract/the-accuracy-and-potential-impact-of-a-diagnostic-decision-support-system-in-rare-disease-cases/
    Oct 21, 2018 · Background/Purpose: Diagnosis in rare diseases cases is often delayed by several years. Main factors for delayed diagnosis are believed to be lack of awareness and knowledge about rare diseases among health care professionals. Diagnostic decision support systems (DDSS) have the potential to enhance clinical diagnosis by assessing case data based on incorporated medical …

Clinical Decision Support System - an overview ...

    https://www.sciencedirect.com/topics/medicine-and-dentistry/clinical-decision-support-system
    Mar 30, 2016 · Clinical Decision Support System. ... Abstract. Today, the use of clinical decision support systems (CDSSs) in medicine is quite prominent, yet developments in this area have lagged behind for nurses; and the prototypes that do exist, are not engineered with nursing practice in mind. Even for advance practice nurses, that have similar scopes of ...

A decision support system for phosphorus management at a ...

    http://europepmc.org/abstract/MED/12026098
    Jan 01, 2002 · To address this issue, a decision support system (DSS) consisting of the Maryland Phosphorus Index (PI), diagnosis expert system (ES), prescription ES, and a nonpoint-source pollution model, Ground Water Loading Effects of Agricultural Management Systems (GLEAMS), was developed and applied to an agricultural watershed in southern Sweden.Cited by: 94

Decision Support System for Cancer Treatment Management ...

    http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.551.1494&rep=rep1&type=pdf
    Decision Support System for Cancer Treatment Management Antônio Augusto Gonçalves MADE (UNESA),INCA [email protected] Altino Ribeiro Leitão INCA, [email protected] Mário Jorge Ferreira de Oliveira COPPE/UFRJ, [email protected] Abstract Cancer in Brazil is a severe public health problem. One of the critical success factors in

Decision Support Systems and Decision-Making Processes ...

    https://www.igi-global.com/chapter/decision-support-systems-decision-making/11258
    Decision Support Systems and Decision-Making Processes: 10.4018/978-1-59904-843-7.ch025: Decision support systems (DSS) deal with semi-structured problems. Such problems arise when managers in organisations are faced with decisions where some butCited by: 6

A decision support system for cost-effective diagnosis ...

    https://experts.umn.edu/en/publications/a-decision-support-system-for-cost-effective-diagnosis
    title = "A decision support system for cost-effective diagnosis", abstract = "Objective: Speed, cost, and accuracy are three important goals in disease diagnosis. This paper proposes a machine learning-based expert system algorithm to optimize these goals and assist diagnostic decisions in a sequential decision-making setting.



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