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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Bibliografske podrobnosti

Principais autores:	M. A. Druzhilov, T. Yu. Kuznetsova, D. V. Gavrilov, A. V. Gusev
Format:	Artigo
Jezik:	Russo
Izdano:	«SILICEA-POLIGRAF» LLC 2022-08-01
Serija:	Кардиоваскулярная терапия и профилактика
Teme:	subclinical carotid atherosclerosis cardiovascular risk obesity machine learning methods
Online dostop:	https://cardiovascular.elpub.ru/jour/article/view/3222
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