Predicting Spinal Cord Injury Prognosis Using Machine Learning: Systematic Review and Meta-Analysis.

ABSTRACT:

Background

Spinal cord injury (SCI) is complicated and varied conditions that receive a lot of attention. However, the prognosis of patients with SCI is increasingly being predicted using machine learning (ML) techniques.

Objective

This study aims to evaluate the efficacy and caliber of ML models in forecasting the consequences of SCI.

Methods

Literature searches were conducted in PubMed, Web of Science, Embase, PROSPERO, Scopus, Cochrane Library, China National Knowledge Infrastructure, China Biomedical Literature Service System, and Wanfang databases. Meta-analysis of the area under the receiver operating characteristic curve of ML models was performed to comprehensively evaluate their performance.

Results

A total of 1254 articles were retrieved, and 13 eligi

SUBMITTER: Zhong L 

PROVIDER: S-EPMC12680090 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature