Twenty-eight-day in-hospital mortality prediction for elderly patients with ischemic stroke in the intensive care unit: Interpretable machine learning models

BACKGROUND: Risk stratification of elderly patients with ischemic stroke (IS) who are admitted to the intensive care unit (ICU) remains a challenging task. This study aims to establish and validate predictive models that are based on novel machine learning (ML) algorithms for 28-day in-hospital mort...

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Detalles Bibliográficos
Autores principales: Huang, Jian, Jin, Wanlin, Duan, Xiangjie, Liu, Xiaozhu, Shu, Tingting, Fu, Li, Deng, Jiewen, Chen, Huaqiao, Liu, Guojing, Jiang, Ying, Liu, Ziru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878123/
https://www.ncbi.nlm.nih.gov/pubmed/36711330
http://dx.doi.org/10.3389/fpubh.2022.1086339

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878123/
https://www.ncbi.nlm.nih.gov/pubmed/36711330
http://dx.doi.org/10.3389/fpubh.2022.1086339

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