Machine Learning Approach for the Prediction of In-Hospital Mortality in Traumatic Brain Injury Using Bio-Clinical Markers at Presentation to the Emergency Department

Background: Accurate prediction of in-hospital mortality is essential for better management of patients with traumatic brain injury (TBI). Machine learning (ML) algorithms have been shown to be effective in predicting clinical outcomes. This study aimed to identify predictors of in-hospital mortalit...

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Detalles Bibliográficos
Autores principales: Mekkodathil, Ahammed, El-Menyar, Ayman, Naduvilekandy, Mashhood, Rizoli, Sandro, Al-Thani, Hassan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417008/
https://www.ncbi.nlm.nih.gov/pubmed/37568968
http://dx.doi.org/10.3390/diagnostics13152605

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417008/
https://www.ncbi.nlm.nih.gov/pubmed/37568968
http://dx.doi.org/10.3390/diagnostics13152605

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