Utilization of machine learning algorithm in the prediction of rehospitalization during one-year post traumatic spinal cord injury.

ABSTRACT:

Study design

Retrospective cohort study.

Objective

The primary aim was to develop a machine learning (ML) model to predict rehospitalization during the first year of traumatic spinal cord injury (TSCI) and to identify top predictors using data obtained during initial rehabilitation. The secondary aim was to predict prolonged hospital stay among the rehospitalized group.

Setting

Eighteen SCI Model Systems centers throughout the United States.

Methods

Data were retrieved from the National Spinal Cord Injury Model Systems Database. The participants were divided into 2 groups based on rehospitalization during the first year of injury. Those who experienced rehospitalization during first year were further grouped into prolonged stay (>75th quartile of the total leng

SUBMITTER: Aly S 

PROVIDER: S-EPMC12003193 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature