A Machine Learning-Based Prediction Model for Acute Kidney Injury in Patients With Congestive Heart Failure

Abstract

A prediction model for AKI in patients with CHF was established based on LightGBM, and the prediction performance of this model was better than that of other models. This model may help in predicting RRT requirement and in identifying the population with poor prognosis among patients with CHF.