Title :
Neural networks for forecasting of myocardial infarction complications
Author :
Rossiev, D.A. ; Golovenkin, S.E. ; Shulman, V.A. ; Matjushin, G.V.
Author_Institution :
Krasnoyarsk State Med. Inst.
Abstract :
This paper presents the computer expert system which allows one to forecast four kinds of complications appearing in hospital patients with myocardial infarction. The system is based on artificial neural networks which accumulate experience while working and trained themselves on the real clinical cases
Keywords :
learning systems; medical diagnostic computing; medical expert systems; neural nets; patient monitoring; computer expert system; learning systems; myocardial infarction complication forecasting; neural networks; patient diagnosis; real clinical cases; Arteries; Cardiac disease; Cardiovascular diseases; Heart; Hospitals; Medical expert systems; Medical treatment; Myocardium; Neural networks; Rhythm;
Conference_Titel :
Neuroinformatics and Neurocomputers, 1995., Second International Symposium on
Conference_Location :
Rostov on Don
Print_ISBN :
0-7803-2512-5
DOI :
10.1109/ISNINC.1995.480871
