Title :
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
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;
Conference_Titel :
Industrial Electronics, 1996. ISIE '96., Proceedings of the IEEE International Symposium on
Conference_Location :
Warsaw
Print_ISBN :
0-7803-3334-9
DOI :
10.1109/ISIE.1996.548454
