机器学习在电子病历中应用的可视化分析

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。

Visualization analysis on machine learning application in electronic medical record

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.