西部中医药2025，Vol.38Issue(1)：67-72,6.DOI:10.12174/j.issn.2096-9600.2025.01.14
中医舌诊数据挖掘文献的计量与可视化分析
Data Mining in TCM Tongue Diagnosis:the Literature of Bibliometric and Visualization Analysis
摘要
Abstract
Objective:To survey the research history,status quo,hot spots and developmental trends of tongue diagnosis in TCM by conducting a systematic bibliometric study and visualization analysis of the literature on data mining of TCM tongue diagnosis.Methods:The relevant literature in the research field of"data mining of TCM tongue diagnosis"was searched from CNKI between January 1,2000 and December 31,2019 to perform bibliometric analysis of the literature.CiteSpace software was applied to conduct the co-occurrence analysis of the author,keywords and research institutions of the included literature,and to draw the relevant visualization maps.Modular and average contour values were used to assess the structural soundness of visualisation maps,the authors,institutions,and keywords in different clusters were identified through the prominence and betweenness centrality,and cluster analysis was performed for each major keyword.Log-likelihood ratio algorithm was chosen to label the clusters,showing the interactions of the different clusters and the time span of the keywords through a timeline view.Results:A total of 461 papers were obtained,the institution with the large number of articles was Beijing University of Chinese Medicine,with 57 articles;a cooperation network of five academic research institutions represented by Beijing University of Traditional Chinese Medicine,Shanghai University of Traditional Chinese Medicine,Nanjing University of Traditional Chinese Medicine,Tianjin University of Traditional Chinese Medicine and Shandong University of Traditional Chinese Medicine has been initially formed in the field of TCM tongue diagnosis data mining literature research;Shanghai University of Traditional Chinese Medicine is the institution with the highest betweenness centrality at 0.19,the most influential one in the institutional cooperation network;Shanghai University of Traditional Chinese Medicine,Longhua Hospital Shanghai University of TCM and Second Affiliated Hospital of Tianjin University of TCM showed higher betweenness centrality(>0.1),Xu Jiatuo,Li Gang and Lin Ling are the most prolific authors,and they have published nine articles;data mining,tongue diagnosis,tongue manifestations,TCM syndromes,syndrome elements are high-frequency keywords with higher betweenness centrality;cluster analysis of the keywords formed ten cluster labels.Conclusion:The number of literature studies on TCM tongue diagnosis shows a steady growth trend,among them,the hot spots in the field of research cover objective research on TCM disease and syndrome combined with text mining and four diagnosis information,tongue diagnosis image processing based on deep learning technology,the application of artificial intelligence big data in tongue image-processing and tongue diagnosis objectification analysis,study on the correlation between epidemiological characteristics of type 2 diabetes mellitus and TCM patterns,syndrome elements of coronary heart disease and TCM objectification research,research on data mining of clinical experiences and the laws of syndrome differentiation and treatment.关键词
中医舌诊/数据挖掘/CiteSpace/可视化分析/文献计量Key words
TCM tongue diagnosis/data mining/CiteSpace/visualization analysis/bibliometrics分类
医药卫生引用本文复制引用
王东军,张红日,田之魁,孙璇,关媛媛,周密,朱青青,周宗慧,王泓午..中医舌诊数据挖掘文献的计量与可视化分析[J].西部中医药,2025,38(1):67-72,6.基金项目
国家重点研发计划中医药现代化研究重点专项(2017YFC1703305) （2017YFC1703305）
河北省自然科学基金(H2023209049) （H2023209049）
河北省中医药管理局科研计划项目(2024355) （2024355）
华北理工大学重点研究项目(ZD-YG-202316,ZD-YG-202409). （ZD-YG-202316,ZD-YG-202409）
