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Machine learning for assessing the pretest probability of obstructive and non-obstructive coronary artery disease
Author(s) -
Б. И. Гельцер,
М. М. Циванюк,
К. И. Шахгельдян,
V. RUBLEV
Publication year - 2020
Publication title -
rossijskij kardiologičeskij žurnal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.141
H-Index - 14
eISSN - 2618-7620
pISSN - 1560-4071
DOI - 10.15829/1560-4071-2020-3802
Subject(s) - medicine , coronary artery disease , cad , pre and post test probability , coronary angiography , cardiology , coronary anatomy , medical physics , myocardial infarction , engineering drawing , engineering

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