摘要
文章简述数据挖掘的概念、内涵及功能;分析其在中医药领域的研究趋势;重点阐述其在复方、中成药、民族医药、名老中医医案、古代医籍、证候研究和中药作用机制方面的应用。目前数据挖掘已被广泛应用于中医药研究领域,尤其在用药规律研究和名老中医经验传承方面发挥着重要作用。通过对文献数据的归纳和分析,为中医药领域的数据挖掘应用提供文献基础和思路。
This paper introduces the concept,connotation and functions of data mining(DM),and analyzes the research trend of DM technology in the field of TCM.Its research and application in TCM are mainly described,such as decoction,Chinese patent medicine,ethnic medicine,medical records of prominent TCM doctors,ancient medical books,syndrome research,mechanism of TCM.At present,DM has been widely used in the field of TCM research,especially in the study on medication rules and experience of prominent TCM doctors.Through the induction and analysis of the literature data,it provides the literature basis and ideas for the application of DM in TCM research.
作者
刘嘉辉
黄颖娟
吕东勇
邝卫红
张诗军
LIU Jia-hui;HUANG Ying-juan;LYU Dong-yong;KUANG Wei-hong;ZHANG Shi-jun(Department of Traditional Chinese Medicine,The First Affiliated Hospital,Sun Yat-sen University,Guangzhou 510080,China;The First Clinical College,Guangzhou University of Chinese Medicine,Guangzhou 510405,China)
出处
《中华中医药杂志》
CAS
CSCD
北大核心
2020年第2期953-955,共3页
China Journal of Traditional Chinese Medicine and Pharmacy
基金
广东省自然科学基金项目(No.2018A0303130171)
广东省中医药管理局项目(No.20181055)
广东省名中医(张诗军)师承项目(No.粤中医办函[2018]5号)。
关键词
数据挖掘
中医药
研究态势
用药规律
Data mining
Traditional Chinese medicine
Research trend
Medication rules