摘要
为探讨机器学习方法在电子病历领域应用的研究现状、研究热点与前沿,以2000~2022年中国知网数据库和Web of Science核心合集数据库中关于机器学习在电子病历中应用的相关文献为数据来源,运用CiteSpace软件绘制国家/地区、作者、机构、关键词共现以及关键词突现5个方面科学知识图谱进行可视化对比分析,以便了解国内外研究的差异,为该领域的研究和发展提供参考。
The research status,hotspots and frontiers of machine learning application in electronic medical record are explored in the study.The research papers related to the application of machine learning in electronic medical record published from 2000 to 2022 in CNKI and Web of Science core collection are taken as data source.CiteSpace was used to draw the knowledge maps of countries/regions,authors,institutions,keywords co-occurrence and burst keywords for visualization analysis,so as to understand the research differences at home and abroad and provide reference for the related researches.
作者
韦彩萍
李翔
翁梦晴
吴旭生
胡庆元
刘建炜
胡德华
WEI Caiping;LI Xiang;WENG Mengqing;WU Xusheng;HU Qingyuan;LIU Jianwei;HU Dehua(School of Life Sciences,Central South University,Changsha 410013,China;School of Information and Management,Guangxi Medical University,Nanning 530021,China;Shenzhen Health Development Research and Data Management Center,Shenzhen 518028,China;The Third Xiangya Hospital of Central South University,Changsha 410013,China)
出处
《中国医学物理学杂志》
CSCD
2023年第4期521-528,共8页
Chinese Journal of Medical Physics
基金
湖南省重点领域研发项目(2021WK2003)
湖南省临床医疗技术创新引导项目(2021SK53703)
深圳市卫生健康发展研究与大数据管理中心与中南大学合作项目(H202206140250001)。
关键词
电子病历
知识图谱
机器学习
深度学习
可视化分析
electronic medical record
knowledge map
machine learning
deep learning
visualization analysis
