An interpretable machine learning model integrating early immune biomarkers for predicting outcomes after spinal cord injury
Objective To characterize early systemic immune-inflammatory alterations after acute spinal cord injury (SCI), evaluate their association with 12-month neurological outcomes, and develop an interpretable model for early risk stratification. Methods This retrospective cohort study included 664 patients with acute trauma...