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
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