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Combination of neural networks and fuzzy sets as a basis for medical expert systems

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2 Author(s)
Gorzalczany, M.B. ; Dept. of Comput. & Inf. Sci., Guelph Univ., Ont., Canada ; McLeish, M.

Presents a technique for building expert systems which combines the fuzzy-set approach with artificial neural network structures. This technique can effectively deal with two types of medical knowledge, a nonfuzzy one and a fuzzy one, which usually contribute to the process of medical diagnosis. Nonfuzzy numerical data are obtained from medical tests. Fuzzy linguistic rules describing the diagnosis process are provided by a human expert. The proposed method has been successfully applied in veterinary medicine as a support system in the diagnosis of canine liver diseases

Published in:

Computer-Based Medical Systems, 1992. Proceedings., Fifth Annual IEEE Symposium on

Date of Conference:

14-17 Jun 1992