人工智能应用慢性病领域研究进展——基于Citespace可视化计量分析

Research Progress in the Field of Artificial Intelligence Application of Chronic Diseases —Based on Citespace Visual Econometric Analysis

摘要: 背景：慢性病防控工作面临巨大挑战，我国从20世纪80年代就开始探索将人工智能应用到慢性病管理中。目的：明确我国当前人工智能应用慢性病应用现状与热点。方法：利用Citespace软件通过关键词共现、关键词聚类以及关键词时区分布等功能，形成可视化图谱，展示人工智能应用慢性病管理方面的研究进展、研究热点和前沿趋势。结果：共纳入217篇文献，分析发现学者对这一领域的研究不断深入，学界研究热点主要集中在人工智能应用于慢性病领域的应用现状、人工智能应用于慢性病领域的影响因素以及人工智能应用于慢性病领域对传统就医秩序的改变。

Abstract: Background: The prevention and control of chronic diseases is facing great challenges. China has been exploring the application of artificial intelligence in the management of chronic diseases since the 1980s. Objective: To clarify the current situation and hotspot of chronic disease application of artificial intelligence in China. Methods: Citespace software was used to form a visual atlas through keywords co-occurrence, keyword clustering and keyword time zone distribution, to display the re-search progress, hot spots and cutting-edge trends in the application of artificial intelligence in chronic disease management. Results: A total of 217 literatures were included, and it was found that scholars’ research in this field was deepening. The hot spots of academic research mainly fo-cused on the application status of artificial intelligence in the field of chronic diseases, the influenc-ing factors of artificial intelligence in the field of chronic diseases, and the changes of artificial intel-ligence in the field of chronic diseases to the traditional order of medical treatment.