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Fuzzy logic in clinical practice decision support systems

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conference contribution
posted on 2000-01-01, 00:00 authored by J Warren, Gleb BeliakovGleb Beliakov, B van der Zwaag
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.

History

Event

Hawaii International Conference on System Sciences (33rd : 2000 : Maui, Hawaii)

Pagination

1 - 10

Publisher

IEEE Computer Society

Location

Maui, Hawaii

Place of publication

Los Alamitos, Calif.

Start date

2000-01-04

End date

2000-01-07

ISBN-13

9780769504933

ISBN-10

0769504930

Language

eng

Notes

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2000, IEEE

Editor/Contributor(s)

R Sprague

Title of proceedings

Proceedings of the 33rd Hawaii International Conference on System Sciences

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