Machine learning-based models to predict the need for neurosurgical intervention after moderate traumatic brain injury.

ABSTRACT:

Background and aims

Traumatic brain injury (TBI) is a widespread global health issue with significant economic consequences. However, no existing model exists to predict the need for neurosurgical intervention in moderate TBI patients with positive initial computed tomography scans. This study determines the efficacy of machine learning (ML)-based models in predicting the need for neurosurgical intervention.

Methods

This is a retrospective study of patients admitted to the neuro-intensive care unit of Emtiaz Hospital, Shiraz, Iran, between January 2018 and December 2020. The most clinically important variables from patients that met our inclusion and exclusion criteria were collected and used as predictors. We developed models using multilayer perceptron, random forest, supp

SUBMITTER: Habibzadeh A 

PROVIDER: S-EPMC10613807 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature