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[42192] Artykuł: Fuzzy neural networks versus alternative approaches in medical decision supportCzasopismo: Proceedings of the IEEE International Symposium on Industrial Electronics (ISIE 97), Guimaraes, Portugalia Tom: 3, Strony: 1270-1275ISBN: 0-7803-3936-3 Wydawca: IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA Opublikowano: 1997 Autorzy / Redaktorzy / Twórcy
Grupa MNiSW: Materiały z konferencji międzynarodowej (zarejestrowane w Web of Science) Punkty MNiSW: 0 Klasyfikacja Web of Science: Proceedings Paper DOI Web of Science |
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).