Machine learning for predicting the outcomes and risks of cardiovascular diseases in patients with hypertension: results of ESSE-RF in the Primorsky Krai

Machine learning for predicting the outcomes and risks of cardiovascular diseases in patients with hypertension: results of ESSE-RF in the Primorsky Krai

Aim. To assess the prospects of using artificial intelligence technologies in predicting the outcomes and risks of cardiovascular diseases (CVD) in patients with hypertension (HTN).Material and methods. A software application was created for data mining from respondent profiles in a semi-automatic m...

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Bibliographic Details
Main Authors: V. A. Nevzorova, N. G. Plekhova, L. G. Priseko, I. N. Chernenko, D. Yu. Bogdanov, M. V. Mokshina, N. V. Kulakova
Format: Article
Language:Russian
Published: «FIRMA «SILICEA» LLC 2020-04-01
Series:Российский кардиологический журнал
Subjects:
cardiovascular risk factors
hypertension
artificial intelligence
Online Access:https://russjcardiol.elpub.ru/jour/article/view/3751
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