Purpose With the in-depth application of machine learning (ML) in clinical practice, it has
been used to predict the mortality risk in patients with traumatic brain injuries (TBI). However …

Background and objective Predicting mortality from traumatic brain injury facilitates early
data-driven treatment decisions. Machine learning has predicted mortality from traumatic …

Background The purpose of this study was to build a model of machine learning (ML) for the
prediction of mortality in patients with isolated moderate and severe traumatic brain injury …

Background: Traumatic brain injury (TBI) is a leading cause of death and disability
worldwide. The use of machine learning (ML) has emerged as a key advancement in TBI …

Background The use of machine learning techniques to predict diseases outcomes has
grown significantly in the last decade. Several studies prove that the machine learning …

Recently, successful predictions using machine learning (ML) algorithms have been
reported in various fields. However, in traumatic brain injury (TBI) cohorts, few studies have …

Traumatic brain injury (TBI) is a significant healthcare concern in several countries,
accounting for a major burden of morbidity, mortality, disability, and socioeconomic losses …

One of the main challenges in traumatic brain injury (TBI) patients is to achieve an early and
definite prognosis. Despite the recent development of algorithms based on artificial …

Background The study aimed to introduce a machine learning model that predicts in-hospital
mortality in patients on mechanical ventilation (MV) following moderate to severe traumatic …

Background Traumatic brain injury (TBI) is a leading cause of death and disability world-
wide. The ability to accurately predict patient outcome after TBI has an important role in …