DocumentCode
3069721
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.
fYear
1995
fDate
20-23 Sep 1995
Firstpage
292
Lastpage
298
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neuroinformatics and Neurocomputers, 1995., Second International Symposium on
Conference_Location
Rostov on Don
Print_ISBN
0-7803-2512-5
Type
conf
DOI
10.1109/ISNINC.1995.480871
Filename
480871
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