Machine Learning Algorithms to Predict In-Hospital Mortality in Patients with Traumatic Brain Injury

Traumatic brain injury (TBI) can lead to severe adverse clinical outcomes, including death and disability. Early detection of in-hospital mortality in high-risk populations may enable early treatment and potentially reduce mortality using machine learning. However, there is limited information on in...

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Autores principales:	Sheng-Der Hsu, En Chao, Sy-Jou Chen, Dueng-Yuan Hueng, Hsiang-Yun Lan, Hui-Hsun Chiang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	electronic medical record machine learning Glasgow coma scale (GCS) injury severity scale (ISS) blood pressure traumatic brain injury (TBI) Medicine R
Acceso en línea:	https://doaj.org/article/b95ca00222b442da8d7599de820ae4c7
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Machine Learning Algorithms to Predict In-Hospital Mortality in Patients with Traumatic Brain Injury

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