USE OF ARTIFICIAL NEURONIC NEURAL NETWORKS IN DIAGNOSTICS OF THE CARDIALGIA SYNDROME
Autor: | A. V. Korotaev, A. A. Litvin, N. A. Manak, V. Ja. Latysheva |
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Rok vydání: | 2008 |
Zdroj: | Health and Ecology Issues. :23-28 |
ISSN: | 2708-6011 2220-0967 |
DOI: | 10.51523/2708-6011.2008-5-4-4 |
Popis: | The purpose of research - development of a method of an estimation of a pain set of symptoms in the field of heart with use Artificial Neural Networks (ANN) in view of singularities of the clinical data for a solution of a problem of differential diagnostics cardialgia syndrome a vertebral and coronary genesis. The developed system of differentiation of cardialgia syndrome with help ANN has shown appreciable diagnostic possibilities with high indexes of sensitivity (97,7 %) and specificity (91,1 %). |
Databáze: | OpenAIRE |
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