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人工智能在慢性疾病中的应用:基于CiteSpace的可视化分析

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目的 应用CiteSpace可视化分析人工智能在慢性疾病中的应用研究现状,并探讨该领域热点研究与演变进程。方法 以 Web of Science Core Collection(WOSCC)Index Expanded(SCI-Expanded)数据库(WOSCC SCI-Expanded数据库)为数据来源,利用布尔逻辑运算符"AND""NOT""OR"进行主题词检索,通过CiteSpace软件可视化分析人工智能在慢性疾病中的应用研究相关信息,包括发文量、国家、机构、作者、关键词共现/聚类/突现等主题热点,并绘制科学图谱。结果 共检索出1 302篇文献,符合标准的1 243篇纳入统计分析。自2018年以来,人工智能在慢性疾病领域中的应用研究呈明显逐年增长趋势。其中美国发文量最多,其哈佛大学和加州大学是发文量最多的机构。目前该领域尚缺乏核心的研究作者,且作者间的合作紧密度不高。热点研究疾病主要集中在成人心脏、肺脏、肾脏、内分泌代谢等方面,既往以干预治疗为主,然后逐渐过渡到精准医疗、决策支持、管理、心理健康、移动医疗保健等。结论 人工智能在慢性疾病中的应用研究目前仍是热点研究方向,本文为该领域研究提供了一定参考。
Application of artificial intelligence in chronic diseases:visual analysis based on CiteSpace
Objective To visually analyze the application research status quo of artificial intelligence in chronic diseases by using CiteSpace,and to discuss the hot research and evolution process in this field.Methods The SCI-Expanded database of the Web of Science Core Collection(WOSCC)was used as the data source,and the Boolean logic operators"AND,NOT,OR"were used for conducting the subjects terms retriev-al.The application research related information of artificial intelligence in chronic diseases conducted the visu-alized analysis by the CiteSpace software,including the number of published papers,countries,institutions,au-thors,keyword co-occurrence/clustering/emergence and other subjects hotspots,and the scientific map was drawn.Results A total of 1 302 literatures were retrieved and 1 243 literatures meeting the standard were in-cluded in the statistical analysis.Since 2018,the artificial intelligence researches in the field of chronic diseases show a significant growth trend year by year.Among them,the United States published the most,and Harvard University and the University of California were the most prolific institutions.At present,there is a lack of core researchers in this field,moreover the close cooperation among authors is not high.The hot research dis-eases mainly focus on adult heart,lung,kidney,endocrine metabolism and other aspects.Previous researchs fo-cused on intervention therapy,and gradually transitioning to precision medicine,decision support,manage-ment,mental health,mobile health care and other aspects.Conclusion At present,the application research of artificial intelligence in chronic diseases is still a hot research direction,and this paper provides some reference for the research in this field.

artificial intelligencechronic diseaseCiteSpacevisual analysisbibliometrics

陈珍珍、程成、宋莎、刘勇

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陆军军医大学第二附属医院疼痛与康复医学科,重庆 400037

陆军军医大学第一附属医院康复医学科,重庆 400038

人工智能 慢性疾病 CiteSpace 可视化分析 文献计量学

2024

重庆医学
重庆市卫生信息中心,重庆市医学会

重庆医学

CSTPCD
影响因子:1.797
ISSN:1671-8348
年,卷(期):2024.53(24)