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

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 M...

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Bibliographic Details
Main Authors: Haiye Jiang, Leping Liu, Yongjun Wang, Hongwen Ji, Xianjun Ma, Jingyi Wu, Yuanshuai Huang, Xinhua Wang, Rong Gui, Qinyu Zhao, Bingyu Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-12-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
machine learning
cardiac valvular surgery
complications
predict
model
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2021.771246/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2021.771246/full

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