Machine Learning Prediction Model for Acute Renal Failure After Acute Aortic Syndrome Surgery

Abstract

We have developed a machine learning model that has better predictive performance than traditional LR prediction models as well as other existing risk scoring systems for postoperative ARF. This model can be utilized to provide early warnings when high-risk patients are found, enabling clinicians to take prompt measures.