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
贾盈盈 1宋剑平 2程继芳 3贾婷婷4
作者信息
- 1. 浙江大学医学院附属第二医院护理部,310009 杭州市;浙江大学医学院护理系
- 2. 浙江大学医学院附属第二医院护理部,310009 杭州市
- 3. 浙江大学医学院附属第二医院心血管介入中心,310009 杭州市
- 4. 甘肃省人民医院普外科
- 折叠
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.
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.
关键词
机器学习/经导管主动脉瓣置换术/并发症/术后/综述Key words
machine learning/Transcatheter Aortic Valve Replacement/complication/postoperative/review引用本文复制引用
基金项目
浙江省教育厅科研项目资助(Y202352490)
出版年
2024
NETL
NSTL
万方数据