Verification of subclinical carotid atherosclerosis as part of risk stratification in overweight and obesity: the role of machine learning in the development of a diagnostic algorithm

Aim. Comparative analysis of mathematical models obtained using multivariate logistic regression (MLR) with stepwise inclusion of predictors and machine learning (ML) for assessing the probability of subclinical carotid atherosclerosis in normotensive overweight and obese patients without cardiovasc...

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Bibliographic Details
Main Authors: M. A. Druzhilov, T. Yu. Kuznetsova, D. V. Gavrilov, A. V. Gusev
Format: Article
Language:Russian
Published: «SILICEA-POLIGRAF» LLC 2022-08-01
Series:Кардиоваскулярная терапия и профилактика
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Online Access:https://cardiovascular.elpub.ru/jour/article/view/3222
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