Fuzzy logic in clinical practice decision support systems

Jim Warren, Gleb Beliakov, B.J. van der Zwaag

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    35 Citations (Scopus)
    147 Downloads (Pure)


    Computerized clinical guidelines can provide significant benefits to health outcomes and costs, however, their effective implementation presents significant problems. Vagueness and ambiguity inherent in natural (textual) clinical guidelines is not readily amenable to formulating automated alerts or advice. Fuzzy logic allows us to formalize the treatment of vagueness in a decision support architecture. This paper discusses sources of fuzziness in clinical practice guidelines. We consider how fuzzy logic can be applied and give a set of heuristics for the clinical guideline knowledge engineer for addressing uncertainty in practice guidelines. We describe the specific applicability of fuzzy logic to the decision support behavior of Care Plan On-Line, an intranet-based chronic care planning system for General Practitioners.
    Original languageUndefined
    Title of host publicationProceedings of the 33rd Hawaii International Conference on Systems Sciences
    Place of PublicationMaui, Hawaii
    Number of pages10
    ISBN (Print)0 7695 0493 0
    Publication statusPublished - Jan 2000
    Event33rd Hawaii International Conference on System Sciences, HICSS 2000 - Maui, United States
    Duration: 4 Jan 20007 Jan 2000
    Conference number: 33

    Publication series

    PublisherIEEE Computer Society Press


    Conference33rd Hawaii International Conference on System Sciences, HICSS 2000
    Abbreviated titleHICSS
    Country/TerritoryUnited States


    • EWI-1778
    • IR-17305
    • METIS-114200

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