Title :
Medical decision making systems in pulmonology: a creative environment based on artificial neural networks
Author :
Economou, G.-P.K. ; Spiropoulos, C. ; Economopoulos, N.M. ; Charokopos, N. ; Lymberopoulos, Dimitrios ; Spiliopoulou, M. ; Haralambopulu, E. ; Goutis, C.E.
Author_Institution :
Dept. of Electr. Eng., Patras Univ., Greece
Abstract :
A powerful formation of artificial neural networks (ANNs) for implementing a medical decision making system (MDMS) in the field of the entire spectrum of pulmonary diseases (PDs), is the topic treated in this article. These ANNs were taught by means of real-world medical data patterns given by a team of PDs medical experts. Preliminary and more elaborate experiments showed an overall accuracy of about 92% in the MDMS´ generalization results, a very promising achievement considering the complexity of the task
Keywords :
decision support systems; learning (artificial intelligence); medical diagnostic computing; medical expert systems; neural nets; generalization; learning; medical decision making system; neural networks; pulmonary diseases; real-world medical data patterns; Artificial intelligence; Artificial neural networks; Automated highways; Decision making; Diseases; Hospitals; Information processing; Intelligent networks; Medical diagnostic imaging; Signal processing algorithms;
Conference_Titel :
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2129-4
DOI :
10.1109/ICSMC.1994.399963
