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  

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

作　　者：贾盈盈 宋剑平[1] 程继芳[2] 贾婷婷 JIA Yingying;SONG Jianping;CHENG Jifang;JIA Tingting(Nursing Department,The Second Affiliated Hospital,Zhejiang University School of Medicine,Hangzhou,310009,China)

机构地区：[1]浙江大学医学院附属第二医院护理部,杭州市310009 [2]浙江大学医学院附属第二医院心血管介入中心,杭州市310009 [3]浙江大学医学院护理系 [4]甘肃省人民医院普外科

出　　处：《中国护理管理》2024年第4期621-625,共5页Chinese Nursing Management

基　　金：浙江省教育厅科研项目资助(Y202352490)。

摘　　要：机器学习能个性化预测患者术后并发症等不良结局事件发生风险,辅助医护人员开展个性化治疗和护理。文章从机器学习的概述、机器学习在预测经导管主动脉瓣置换术患者术后不良结局事件中的应用、研究展望和启示3个方面展开阐述,以期为我国经导管主动脉瓣置换术患者术后精准护理提供参考。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.

关 键 词：机器学习 经导管主动脉瓣置换术 并发症 术后 综述 

分 类 号：R47[医药卫生—护理学] R197[医药卫生—临床医学]