基于Cite Space的中医糖尿病数据挖掘可视化分析＊

目的 采用可视化的方法探究糖尿病中医数据挖掘研究热点与方法流程，为数据挖掘技术在糖尿病中医研究中的应用提供参考。方法 纳入“糖尿病”AND“中医数据挖掘”相关主题文献，应用文献计量学软件Cite Space绘制其可视化图谱。结果 糖尿病中医数据挖掘领域研究发文呈现线性增长趋势，研究热点主要集中在糖尿病中医症药的关联与聚类以及证候模型相关方面。结论 当前该研究领域正处于快速发展时期，研究内容主要集中于挖掘静态的数据，在今后的研究中或可以从糖尿病动态数据切入，以多维动态的数据研究推动糖尿病中医诊疗现代化发展。

Visualization Analysis of TCM Diabetes Data Mining Based on CiteSpace

Objective To explore the research hotspots and methods of diabetic traditional Chinese medicine data mining by visual method, and to provide reference for the application of data mining technology in diabetic traditional Chinese medicine research.METHODS Literature on diabetes mellitus and data mining of traditional Chinese medicine were included, and its visualization map was drawn by cite space, a bibliometric software.Results The research papers in the field of data mining of diabetic traditional Chinese medicine showed a linear growth trend, and the research focus mainly on the correlation and clustering of diabetic traditional Chinese medicine and the related aspects of syndrome model.CONCLUSION At present, the research field is in a period of rapid development. The research mainly focuses on mining static data. In the future research, we may start with dynamic data of diabetes mellitus, and promote the modernization of traditional Chinese medicine diagnosis and treatment of diabetes with multi-dimensional dynamic data research.