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[42192] Artykuł:

Fuzzy neural networks versus alternative approaches in medical decision support

Czasopismo: Proceedings of the IEEE International Symposium on Industrial Electronics (ISIE 97), Guimaraes, Portugalia   Tom: 3, Strony: 1270-1275
ISBN:  0-7803-3936-3
Wydawca:  IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Opublikowano: 1997
 
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Marian Bolesław Gorzałczany orcid logoWEAiIKatedra Elektroniki i Systemów Inteligentnych *****100.00  

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Abstract:

One of two goals of this paper is to briefly present a methodology for medical decision support systems design which is able to utilize two main types of medical knowledge usually contributing to medical diagnosis: a qualitative one (linguistic rules provided by human experts) and a quantitative one (numerical data obtained from medical tests). This methodology is based on fuzzy neural networks and has been successfully applied to the design of a support system for the treatment of duodenal ulcer with the use of highly selective vagotomy. The second goal of the paper is to carry out a broad comparative analysis of the proposed methodology with several alternative approaches (rough sets, discriminant analysis, location model, probabilistic inductive learning).