Development and validation of a prehospital-stage prediction tool for traumatic brain injury: a multicentre retrospective cohort study in Korea.

ABSTRACT:

Objectives

Predicting diagnosis and prognosis of traumatic brain injury (TBI) at the prehospital stage is challenging; however, using comprehensive prehospital information and machine learning may improve the performance of the predictive model. We developed and tested predictive models for TBI that use machine learning algorithms using information that can be obtained in the prehospital stage.

Design

This was a multicentre retrospective study.

Setting and participants

This study was conducted at three tertiary academic emergency departments (EDs) located in an urban area of South Korea. The data from adult patients with severe trauma who were assessed by emergency medical service providers and transported to three participating hospitals between 2014 to 2018 were ana

SUBMITTER: Choi Y 

PROVIDER: S-EPMC8756263 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature