Enhancing Robustness of Machine Learning Integration With Routine Laboratory Blood Tests to Predict Inpatient Mortality After Intracerebral Hemorrhage

Objective: The accurate evaluation of outcomes at a personalized level in patients with intracerebral hemorrhage (ICH) is critical clinical implications. This study aims to evaluate how machine learning integrates with routine laboratory tests and electronic health records (EHRs) data to predict inp...

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Detalles Bibliográficos
Autores principales: Chen, Wei, Li, Xiangkui, Ma, Lu, Li, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761736/
https://www.ncbi.nlm.nih.gov/pubmed/35046885
http://dx.doi.org/10.3389/fneur.2021.790682

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761736/
https://www.ncbi.nlm.nih.gov/pubmed/35046885
http://dx.doi.org/10.3389/fneur.2021.790682

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