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基于Cite Space的中医糖尿病数据挖掘可视化分析 被引量:3

Visualization Analysis of TCM Diabetes Data Mining Based on CiteSpace
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摘要 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。 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.
作者 胡远樟 温川飙 程小恩 Hu Yuanzhang;Wen Chuanbiao;Chen Xiaoen(Medical Information Engineering College,Chengdu University of Traditional Chinese Medicine,Chengdu,611137,China)
出处 《世界科学技术-中医药现代化》 CSCD 北大核心 2020年第7期2376-2381,共6页 Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基金 四川省教育厅医院管理青年基金项目(SCYG2017-22):基于大数据分析的医疗诊费点阵模型构建,负责人:程小恩 四川省科技厅重点研发项目(2018SZ0065):中医人工智能诊疗系统的开发研究,负责人:严小英
关键词 数据挖掘 中医 糖尿病 可视化 Data mining Chinese medicine Diabetes Visualization
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