
Machine-learning model incorporating perioperative hemodynamics predicts moderate-to-severe AKI after heart transplantation
A machine-learning model using perioperative hemodynamic indices accurately predicted stage 2-3 acute kidney injury after orthotopic heart transplantation in 114 patients, with light gradient boosting machine achieving AUC 0.898.











