International journal of general medicine
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To assess the performance of models for early prediction of acute kidney injury (AKI) in the Intensive Care Unit (ICU) setting. ⋯ LightGBM demonstrated the best capability for predicting AKI in the first 72 h of ICU admission. LightGBM and XGBoost showed great potential for clinical application owing to their high recall value. This study can provide references for artificial intelligence-powered clinical decision support systems for AKI early prediction in the ICU setting.