Analysis of Research Hotspots and Theme Evolution in Traditional Chinese Medicine Based on BERTopic and CiteSpace
10.3969/j.issn.1673-6036.2024.07.010
- VernacularTitle:基于BERTopic与CiteSpace的中国中医药领域研究热点与主题演化分析
- Author:
Anli WANG
1
,
2
,
3
;
Wenting ZHANG
;
Tingxiao WEN
;
Wei OUYANG
;
Shanshan YU
;
Feilong YANG
Author Information
1. 中南大学生命科学学院 长沙 410013
2. 中南大学湘雅三医院 长沙 410013
3. 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
- Keywords:
traditional Chinese medicine(TCM);
subject extraction;
hotspot identification;
co-occurrence analysis;
BERTopic;
CiteSpace
- From:
Journal of Medical Informatics
2024;45(7):55-61
- CountryChina
- Language:Chinese
-
Abstract:
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.
