beliakov-fuzzylogicinclinical-2000.pdf (112.51 kB)
Fuzzy logic in clinical practice decision support systems
conference contribution
posted on 2000-01-01, 00:00 authored by J Warren, Gleb BeliakovGleb Beliakov, B van der ZwaagComputerized 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 - 10Publisher
IEEE Computer SocietyLocation
Maui, HawaiiPlace of publication
Los Alamitos, Calif.Start date
2000-01-04End date
2000-01-07ISBN-13
9780769504933ISBN-10
0769504930Language
engNotes
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 - refereedCopyright notice
2000, IEEEEditor/Contributor(s)
R SpragueTitle of proceedings
Proceedings of the 33rd Hawaii International Conference on System SciencesUsage metrics
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