Predicting All-Cause Mortality Risk in Atrial Fibrillation Patients: A Novel LASSO-Cox Model Generated From a Prospective Dataset

Background: Although mortality remains high in patients with atrial fibrillation (AF), there have been limited studies exploring machine learning (ML) models on mortality risk prediction in patients with AF. Objectives: This study sought to develop an ML model that captures important variables in or...

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Detalles Bibliográficos
Autores principales: Chen, Yu, Wu, Shiwan, Ye, Jianfeng, Wu, Muli, Xiao, Zhongbo, Ni, Xiaobin, Wang, Bin, Chen, Chang, Chen, Yequn, Tan, Xuerui, Liu, Ruisheng
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/PMC8558306/
https://www.ncbi.nlm.nih.gov/pubmed/34733891
http://dx.doi.org/10.3389/fcvm.2021.730453

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8558306/
https://www.ncbi.nlm.nih.gov/pubmed/34733891
http://dx.doi.org/10.3389/fcvm.2021.730453

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