Development of a Gradient Boosting Decision Tree-based model to predict walking ability in patients with nontraumatic spinal cord injury (NTSCI) using admission clinical data.
The model demonstrated strong performance (AUC 0.91, recall 0.92) on internal testing and maintained promising accuracy (0.81) in a temporal external validation cohort.
Key predictive features included total lower limb muscle strength and patient age, highlighting important clinical factors for prognosis.
Findings are preliminary; external multicenter validation and larger sample sizes are needed before clinical integration.
