Fuzzy logic in clinical practice decision support systems
Warren, Jim, Beliakov, Gleb and van der Zwaag, Berend 2000, Fuzzy logic in clinical practice decision support systems, in Proceedings of the 33rd Hawaii International Conference on System Sciences, IEEE Computer Society, Los Alamitos, Calif., pp. 1-10.
Hawaii International Conference on System Sciences
IEEE Computer Society
Place of publication
Los Alamitos, Calif.
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.
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Field of Research
010107 Mathematical Logic, Set Theory, Lattices and Universal Algebra
Socio Economic Objective
970101 Expanding Knowledge in the Mathematical Sciences
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