摘要
随着数千年的传承与发展,中医药领域产生了海量的数据。如何快速、准确地从其中获取有价值的隐性知识,是中医药传承与创新发展中亟待解决的问题。作为数据挖掘的一种常用技术方法,聚类分析能够从对象(或指标)集中发现隐藏的、相似的对象(指标)集,为中医药知识发现提供重要依据。本文在梳理聚类分析研究概况基础上,系统整理聚类分析在证候、证型演变、用药规律和中药鉴别等方面的应用现状,阐述了应用不足,为聚类分析与中医药传承发展的有机结合提供有益借鉴。
With thousands of years of inheritance and development,a large amount of data has been produced in the field of traditional Chinese medicine(TCM).How to quickly and accurately obtain valuable tacit knowledge from the data is an urgent problem to be solved in the inheritance and innovative development of TCM.As a common technical method of data mining,clustering analysis can find tacit and similar sets of objects(or indicators)from the set of objects(or indicators),which provides an important basis for TCM knowledge discovery.On the basis of sorting out the research on clustering analysis,this paper systematically summarized the application status of clustering analysis in syndrome,syndrome type evolution,medication regularity,and TCM identification and expounded on the shortcomings of application,providing useful references for the organic combination of clustering analysis and the inheritance and development of TCM.
作者
于芷涵
李丹
闫朝升
YU Zhihan;LI Dan;YAN Zhaosheng(School of Medical Information Engineering,Heilongjiang University of Chinese Medicine,Harbin 150040,China)
出处
《世界中医药》
CAS
北大核心
2024年第4期572-576,共5页
World Chinese Medicine
基金
黑龙江省自然科学基金项目(F200908)
黑龙江省中医药科研项目(ZHY2020-089,ZYW2022-046)
黑龙江省高等教育教学改革研究重点委托项目(SJGZ20200162)
黑龙江省经济社会发展重点研究课题(21415)
黑龙江省高等教育教学改革研究一般项目(SJGY20190618)。
关键词
中医药
聚类分析
证候
证型演变
用药规律
中药鉴别
数据挖掘
知识发现
TCM
Clustering analysis
Syndrome
Syndrome type evolution
Medication regularity
TCM identification
Data mining
Knowledge discovery