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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Detalles Bibliográficos
Autores principales: Jiang, Haiye, Liu, Leping, Wang, Yongjun, Ji, Hongwen, Ma, Xianjun, Wu, Jingyi, Huang, Yuanshuai, Wang, Xinhua, Gui, Rong, Zhao, Qinyu, Chen, Bingyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716451/
https://www.ncbi.nlm.nih.gov/pubmed/34977184
http://dx.doi.org/10.3389/fcvm.2021.771246

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716451/
https://www.ncbi.nlm.nih.gov/pubmed/34977184
http://dx.doi.org/10.3389/fcvm.2021.771246

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