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

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...

Full description

Bibliographic Details
Main Authors: Ahammed Mekkodathil, Ayman El-Menyar, Mashhood Naduvilekandy, Sandro Rizoli, Hassan Al-Thani
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Diagnostics
Subjects:
trauma
brain injury
head
machine learning
predictors
support vector machine
Online Access:https://www.mdpi.com/2075-4418/13/15/2605

Internet

https://www.mdpi.com/2075-4418/13/15/2605

Similar Items