Chuan-Wei Zhao

An interpretable XGBoost model for contrast-associated acute kidney injury in patients with acute coronary syndrome: development and geographical external validation

Background Contrast-associated acute kidney injury (CA-AKI) is a clinically relevant complication after coronary angiography in patients with acute coronary syndrome (ACS). We aimed to develop and geographically validate a compact, interpretable machine-learning model and to determine whether the nonlinear algorithm pr...