首页|基于BERTopic与CiteSpace的中国中医药领域研究热点与主题演化分析

基于BERTopic与CiteSpace的中国中医药领域研究热点与主题演化分析

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目的/意义 梳理近10年中国中医药领域文献,阐述该领域热点主题与发展趋势.方法/过程 检索2013-2022年万方数据平台中医药领域研究文献,以摘要为研究对象,利用BERTopic模型抽取主题,并采用CiteSpace进行可视化分析.结果/结论 纳入中文文献12 683篇,发现5个主题:临床试验与疗效、病机与药理研究、中医药领域发展、慢病治疗、药物分析与文献研究.对其中热度持续增长的中医药领域发展主题深入分析,提出人工智能与中医药领域的深度融合是未来趋势.
Analysis of Research Hotspots and Theme Evolution in Traditional Chinese Medicine Based on BERTopic and CiteSpace
Purpose/Significance To sort out the literature in the field of traditional Chinese medicine(TCM)in China in the past decade,and to expound the hot topics and development trends in this field.Method/Process Literature in the field of TCM in Wanfang Data from 2013 to 2022 is searched.The abstracts are taken as the research objects,the topics are extracted by BERTopic model,and CiteSpace is used for visualization and analysis.Result/Conclusion 12 683 papers in Chinese are included,and the 5 topics are found:clinical trials and efficacy,research on pathogenesis and pharmacology,the development of the field of TCM,treatment of chronic dis-ease,drug analysis and literature research.The paper makes an in-depth analysis of the topic of the development of traditional Chinese medicine,which continues to grow in popularity,and puts forward that the deep integration of artificial intelligence(AI)and TCM is the future trend.

traditional Chinese medicine(TCM)subject extractionhotspot identificationco-occurrence analysisBERTopicCiteSpace

王安莉、张文婷、文庭孝、欧阳威、于姗姗、杨飞龙

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中南大学生命科学学院 长沙 410013

中南大学湘雅三医院 长沙 410013

医学信息研究湖南省普通高等学校重点实验室(中南大学)长沙 410013

智能辅助诊疗关键技术及应用评价湖南省工程研究中心 长沙 410013

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中医药 主题抽取 热点识别 共现分析 BERTopic CiteSpace

国家社会科学基金项目湖南省教育厅项目

22BTQ05223A0026

2024

医学信息学杂志
中国医学科学院

医学信息学杂志

CSTPCD
影响因子:1.348
ISSN:1673-6036
年,卷(期):2024.45(7)
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