An idea of the application of fuzzy neural networks to medical decision support systems

Author

Gorzalczany, Marian B.

Author_Institution

Dept. of Electr. & Comput. Eng., Kielce Univ. of Technol., Poland

Volume

1

fYear

1996

fDate

17-20 Jun 1996

Firstpage

398

Abstract

The paper presents a methodology for medical decision support systems design which combines a fuzzy-set approach with artificial neural networks. The proposed methodology can deal with two types of medical knowledge which usually contribute to medical diagnosis: fuzzy knowledge (linguistic rules provided by human experts); and nonfuzzy knowledge (numerical data obtained from medical tests). The proposed approach has been successfully applied in medical diagnosis as a support system in the treatment of duodenal ulcers with the use of highly selective vagotomy

Keywords

decision support systems; fuzzy neural nets; medical diagnostic computing; medical expert systems; patient diagnosis; application; artificial neural networks; duodenal ulcers treatment; fuzzy neural networks; fuzzy-set approach; highly selective vagotomy; human experts; linguistic rules; medical decision support systems; medical diagnosis; medical knowledge; medical tests; Artificial neural networks; Computer networks; Decision support systems; Diseases; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Humans; Medical diagnostic imaging; Medical tests;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 1996. ISIE '96., Proceedings of the IEEE International Symposium on

Conference_Location

Warsaw

Print_ISBN

0-7803-3334-9

Type

conf

DOI

10.1109/ISIE.1996.548454

Filename

548454