机器学习在经导管主动脉瓣置换术患者术后精准护理中的应用进展

doi:10.3969/j.issn.1672-1756.2024.04.026

Abstract

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

CLC Number: R47；R197

JIA Yingying, SONG Jianping, CHENG Jifang, JIA Tingting. Application progress on machine learning for prognostic precision care of patients undergoing Transcatheter Aortic Valve Replacement[J].Chinese Nursing Management, 2024, 24(4): 621-625.

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Application progress on machine learning for prognostic precision care of patients undergoing Transcatheter Aortic Valve Replacement

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