Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery

Background: This study intended to use a machine learning model to identify critical preoperative and intraoperative variables and predict the risk of several severe complications (myocardial infarction, stroke, renal failure, and hospital mortality) after cardiac valvular surgery. Study Design and...

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Bibliographic Details

Published in:	Frontiers in cardiovascular medicine Vol. 8; p. 771246
Main Authors:	Jiang, Haiye, Liu, Leping, Wang, Yongjun, Ji, Hongwen, Ma, Xianjun, Wu, Jingyi, Huang, Yuanshuai, Wang, Xinhua, Gui, Rong, Zhao, Qinyu, Chen, Bingyu
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media S.A 16.12.2021
Subjects:	cardiac valvular surgery Cardiovascular Medicine complications machine learning predict cardiac valvular surgery predict model complications machine learning
ISSN:	2297-055X, 2297-055X
Online Access:	Get full text
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