Scientific journal
Научное обозрение. Медицинские науки
ISSN 2500-0780
ПИ №ФС77-57452

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PRACTICAL USING OF NEURAL NETWORK IN THE PROGNOSTIC MODELS OF ESTIMATING OF FUNCTIONAL HEALTH OF THE CARDIOVASCULAR SYSTEM

Ovchinkina T.V. 1 Mitin V.V. 1 Kuzmin A.A. 1
1 Southwest State University
The possibility of practical using of neural network in the prognostic models of estimating of functional health of the cardiovascular system is considered in the article. Some factors more are needed for the definition of groups of patients for search of its functional health, because the pathological lesions are not enough reflected on the electrocardiogram. Disturbances of certain parameters of the functional health of the cardiovascular system can irritate unexpected acute coronary insufficiency and death. For the teaching (programming) of the artificial neural network is necessary to take into account a lot of parameters and information volume. In can be done with the help of neural fuzzy systems, which belong to the class of hybrid systems, which are based on fuzzy logic and neural networks. Practical using of neural networks let prognosticate the functional health of the cardiovascular system taking into account optimal quantity of parameters of a patient. The structural scheme of the prognostic model and description its blocks are considered in the article. This scheme let give short-dated prognoses.