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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Frontiers in cardiovascular medicine Jg. 8; S. 771246
Hauptverfasser:	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
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Media S.A 16.12.2021
Schlagworte:	cardiac valvular surgery Cardiovascular Medicine complications machine learning predict cardiac valvular surgery predict model complications machine learning
ISSN:	2297-055X, 2297-055X
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!