Fuzzy logic for decision support in chronic care

Beliakov, Gleb and Warren, James R. 2001, Fuzzy logic for decision support in chronic care, Artificial intelligence in medicine, vol. 21, no. 1-3, pp. 209-213.

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Title Fuzzy logic for decision support in chronic care
Author(s) Beliakov, Gleb
Warren, James R.
Journal name Artificial intelligence in medicine
Volume number 21
Issue number 1-3
Start page 209
End page 213
Publisher Burgverlag
Place of publication Tecklenburg, Germany
Publication date 2001
ISSN 0933-3657
1873-2860
Keyword(s) clinical guidelines
decision support systems
vagueness
aggregation operators
coordinated care
Summary Computerized clinical guidelines can provide significant benefits in terms of health outcomes and costs, however, their effective computer implementation presents significant problems. Vagueness and ambiguity inherent in natural language (textual) clinical guidelines makes them problematic for formulating automated alerts or advice. Fuzzy logic allows us to formalize the treatment of vagueness in a decision support architecture. In care plan on-line (CPOL), an intranet-based chronic disease care planning system for general practitioners (GPs) in use in South Australia, we formally treat fuzziness in interpretation of quantitative data, formulation of recommendations and unequal importance of clinical indicators. We use expert judgment on cases, as well as direct estimates by experts, to optimize aggregation operators and treat heterogeneous combinations of conjunction and disjunction that are present in the natural language decision rules formulated by specialist teams.


Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2001, Elsevier Science B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30001295

Document type: Journal Article
Collection: School of Information Technology
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