A neuro-fuzzy approach for identifying practice variations based on modelling relationships between clinical variables and treatment decisions

Faiyaz Doctor, Raouf N G Naguib, Rahat Iqbal

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding

    Abstract

    Variations in treatment decisions made by individual physicians can lead to practice variations in which different doctors may treat patients with the same type of medical conditions differently. There is a need to develop novel decision support systems that can interpret the decision-making behaviour of clinicians and identify the factors influencing particular treatment decisions. Such a tool will ensure that patients with the same medical conditions consistently receive the same kind of treatment and care. This paper proposes a novel neuro-fuzzy decision modelling approach; using neural networks for automatically determining the key clinical characteristics influencing a physician's treatment decisions, and using fuzzy classifiers to model the relationships between clinical characteristics and treatment decisions using linguistically interpretable fuzzy rules. The approach aims to help identify the factors and reasons for variations in treatment decisions made by different physicians in order to improve patient care. In order to demonstrate the usefulness of the proposed work, we conducted several quick and dirty ethnographic studies, which prove that variations in physicians' treatment exist.

    Original languageEnglish
    Title of host publicationProceedings - 4th International Conference on Developments in eSystems Engineering, DeSE 2011
    Pages126-131
    Number of pages6
    DOIs
    Publication statusPublished - 2011
    Event4th International Conference on Developments in eSystems Engineering, DeSE 2011 - Dubai, United Arab Emirates
    Duration: 6 Dec 20118 Dec 2011

    Conference

    Conference4th International Conference on Developments in eSystems Engineering, DeSE 2011
    CountryUnited Arab Emirates
    CityDubai
    Period6/12/118/12/11

    Keywords

    • Decision making
    • feature extraction
    • Neural Networks
    • Mathematical model
    • wounds

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Control and Systems Engineering

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