Phenotyping of risk factors and prediction of inhospital mortality in patients with coronary artery disease after coronary artery bypass grafting based on explainable artificial intelligence methods

Phenotyping of risk factors and prediction of inhospital mortality in patients with coronary artery disease after coronary artery bypass grafting based on explainable artificial intelligence methods

Aim. To develop predictive models of inhospital mortality (IHM) in patients with coronary artery disease after coronary artery bypass grafting (CABG), taking into account the results of phenotyping of preoperative risk factors.Material and methods. This retrospective study was conducted based on the...

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Bibliographic Details
Main Authors: B. I. Geltser, K. I. Shakhgeldyan, V. Yu. Rublev, I. G. Domzhalov, M. M. Tsivanyuk, O. I. Shekunova
Format: Article
Language:Russian
Published: «FIRMA «SILICEA» LLC 2023-05-01
Series:Российский кардиологический журнал
Subjects:
coronary artery bypass grafting
inhospital mortality
risk factor phenotyping
predictive models
explainable artificial intelligence
Online Access:https://russjcardiol.elpub.ru/jour/article/view/5302
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