Machine learning for assessing the pretest probability of obstructive and non-obstructive coronary artery disease

Machine learning for assessing the pretest probability of obstructive and non-obstructive coronary artery disease

The review presents an analysis of publications on use of machine learning (ML) to assess the pretest probability of obstructive and non-obstructive coronary artery disease (CAD). Data on the high prevalence of non-obstructive CAD among patients referred for coronary angiography are presented, which...

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Bibliographic Details
Main Authors:	B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, V. Yu. Rublev
Format:	Article
Language:	Russian
Published:	«FIRMA «SILICEA» LLC 2020-06-01
Series:	Российский кардиологический журнал
Subjects:	pre-test probability machine learning coronary artery disease
Online Access:	https://russjcardiol.elpub.ru/jour/article/view/3802

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