Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models.

ABSTRACT:

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 (TBI).

Methods

Hospitalized adult patients registered in the Trauma Registry System between January 2009 and December 2015 were enrolled in this study. Only patients with an Abbreviated Injury Scale (AIS) score ≥ 3 points related to head injuries were included in this study. A total of 1734 (1564 survival and 170 non-survival) and 325 (293 survival and 32 non-survival) patients were included in the training and test sets, respectively.

Results

Using demographics and injury characteristics, as well as patient laboratory data, predictive tools (e.g., logistic regression [LR], support vecto

SUBMITTER: Rau CS 

PROVIDER: S-EPMC6226171 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature