Open access
Aug 2026
An interpretable XGBoost model for contrast-associated acute kidney injury in patients with acute coronary syndrome: development and geographical external validation
The fixed eight-predictor XGBoost model provided useful cross-hospital risk discrimination for CA-AKI, but its incremental advantage over same-variable logistic regression was limited and external calibration was imperfect.
Chuan-Wei Zhao, Hong-Lin Li, Ya-Ne Yang et al.
· Frontiers in Digital Health · 0 citations