Interpretable machine learning for predicting 28-day all-cause in-hospital mortality for hypertensive ischemic or hemorrhagic stroke patients in the ICU: a multi-center retrospective cohort study with internal and external cross-validation

BACKGROUND: Timely and accurate outcome prediction plays a critical role in guiding clinical decisions for hypertensive ischemic or hemorrhagic stroke patients admitted to the ICU. However, interpreting and translating the predictive models into clinical applications are as important as the predicti...

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Detalles Bibliográficos
Autores principales: Huang, Jian, Chen, Huaqiao, Deng, Jiewen, Liu, Xiaozhu, Shu, Tingting, Yin, Chengliang, Duan, Minjie, Fu, Li, Wang, Kai, Zeng, Song
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10443100/
https://www.ncbi.nlm.nih.gov/pubmed/37614971
http://dx.doi.org/10.3389/fneur.2023.1185447

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10443100/
https://www.ncbi.nlm.nih.gov/pubmed/37614971
http://dx.doi.org/10.3389/fneur.2023.1185447

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