Machine Learning Model for Predicting Acute Respiratory Failure in Individuals With Moderate-to-Severe Traumatic Brain Injury

Background: There is a high incidence of acute respiratory failure (ARF) in moderate or severe traumatic brain injury (M-STBI), worsening outcomes. This study aimed to design a predictive model for ARF. Methods: Adult patients with M-STBI [3 ≤ Glasgow Coma Scale (GCS) ≤ 12] with a definite history o...

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Detalles Bibliográficos
Autores principales: Ma, Rui Na, He, Yi Xuan, Bai, Fu Ping, Song, Zhi Peng, Chen, Ming Sheng, Li, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739486/
https://www.ncbi.nlm.nih.gov/pubmed/35004766
http://dx.doi.org/10.3389/fmed.2021.793230

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739486/
https://www.ncbi.nlm.nih.gov/pubmed/35004766
http://dx.doi.org/10.3389/fmed.2021.793230

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