Early prediction of clinical scores for left ventricular reverse remodeling using extreme gradient random forest, boosting, and logistic regression algorithm representations

OBJECTIVE: At present, there is no early prediction model of left ventricular reverse remodeling (LVRR) for people who are in cardiac arrest with an ejection fraction (EF) of ≤35% at first diagnosis; thus, the purpose of this article is to provide a supplement to existing research. MATERIALS AND MET...

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Detalles Bibliográficos
Autores principales: Liu, Lu, Qiao, Cen, Zha, Jun-Ren, Qin, Huan, Wang, Xiao-Rui, Zhang, Xin-Yu, Wang, Yi-Ou, Yang, Xiu-Mei, Zhang, Shu-Long, Qin, Jing
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/PMC9428443/
https://www.ncbi.nlm.nih.gov/pubmed/36061535
http://dx.doi.org/10.3389/fcvm.2022.864312

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428443/
https://www.ncbi.nlm.nih.gov/pubmed/36061535
http://dx.doi.org/10.3389/fcvm.2022.864312

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