Machine learning-based models for the prediction of pediatric CSA-AKI

The machine learning-based models to predict the development of acute kidney injury following pediatric cardiac surgery, which were established using the eXtreme Gradient Boosting (XGBoost) algorithm. Model 1: the model with only the preoperative variables. Model 2: the model with the preoperative and intraoperative variables.