Title :
Medical diagnosis and artificial neural networks: a medical expert system applied to pulmonary diseases
Author :
Economou, G.-P.K. ; Spiropoulos, C. ; Economopoulos, N.M. ; Charokopos, N. ; Lymberopoulos, D. ; Spiliopoulou, M. ; Haralambopulu, E. ; Goutis, C.E.
Author_Institution :
Dept. of Electr. Eng., Patras Univ., Greece
Abstract :
An original medical expert system (MES) in the field of pulmonary diseases (PDs), is the topic of this article. This MES covers the full spectrum of PDs, being the first that attempts to treat a whole category of distressed body organs. It is based on a first presented composition of powerful artificial neural networks (ANNs) that have been taught by means of real patients´ clinical data,. The proposed MES exhibits an overall performance of at least 85% in its generalization results
Keywords :
lung; medical diagnostic computing; medical expert systems; neural nets; artificial neural networks; generalization; medical diagnosis; medical expert system; pulmonary diseases; Artificial intelligence; Artificial neural networks; Diagnostic expert systems; Diseases; Hospitals; Humans; Medical diagnosis; Medical diagnostic imaging; Medical expert systems; Research and development;
Conference_Titel :
Neural Networks for Signal Processing [1994] IV. Proceedings of the 1994 IEEE Workshop
Conference_Location :
Ermioni
Print_ISBN :
0-7803-2026-3
DOI :
10.1109/NNSP.1994.366018
