Machine Learning Methods for Predicting Long-Term Mortality in Patients After Cardiac Surgery

OBJECTIVE: This study aims to construct and validate several machine learning (ML) algorithms to predict long-term mortality and identify risk factors in unselected patients post-cardiac surgery. METHODS: The Medical Information Mart for Intensive Care (MIMIC-III) database was used to perform a retr...

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Detalles Bibliográficos
Autores principales: Yu, Yue, Peng, Chi, Zhang, Zhiyuan, Shen, Kejia, Zhang, Yufeng, Xiao, Jian, Xi, Wang, Wang, Pei, Rao, Jin, Jin, Zhichao, Wang, Zhinong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110683/
https://www.ncbi.nlm.nih.gov/pubmed/35592400
http://dx.doi.org/10.3389/fcvm.2022.831390

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110683/
https://www.ncbi.nlm.nih.gov/pubmed/35592400
http://dx.doi.org/10.3389/fcvm.2022.831390

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