Prediction of Acute Kidney Injury in Intracerebral Hemorrhage Patients Using Machine Learning

The random forest algorithm-based predictive model we developed incorporating important features, including platelet count, serum creatinine level, vancomycin level, hemoglobin level, and hematocrit level, performed the best in predicting AKI among patients with ICH.