关键词: 机器学习；经导管主动脉瓣置换术；并发症；术后；综述

Abstract: Machine learning can personalized predict the risk of adverse outcomes such as postoperative complications in patients, assisting medical staff in personalized treatment and care. In this review, the overview of machine learning, the application of machine learning in predicting adverse outcomes of patients undergoing Transcatheter Aortic Valve Replacement, and the outlook and revelation are presented in order to provide reference for the postoperative precision care of patients undergoing Transcatheter Aortic Valve Replacement in China.

Key words: machine learning; Transcatheter Aortic Valve Replacement; complication; postoperative; review