基于数据挖掘的现代中医药治疗头痛自拟处方用药规律分析  

Analysis on Self-prepared Herbal Prescription Law of Headache by Data-mining

作　　者：田琳[1] 朱建贵[1] 王映辉[1] 张润顺[1] 

机构地区：[1]中国中医科学院广安门医院,北京100053

出　　处：《中国中医药信息杂志》2012年第11期22-24,共3页Chinese Journal of Information on Traditional Chinese Medicine

基　　金：国家科技支撑计划(2007BAI10B06)

摘　　要：目的应用数据挖掘技术分析中医药治疗头痛自拟处方的用药规律,为临床医师诊治头痛提供参考。方法以1979-2011年中国期刊全文数据库、中国生物医学文献数据库、中国中医药期刊文献数据库、中文科技期刊数据库为检索源,制定检索式,采集头痛自拟方相关数据,按照统一标准处理后录入数据库,采用频数分析、因子分析、关联规则分析进行整合分析。结果研究共纳入171篇文献。头痛自拟方中使用频率前10位的药物为川芎、白芷、细辛、全蝎、白芍、当归、甘草、蔓荆子、天麻、僵蚕;通过因子分析将所用药物归纳为6个因子;而关联规则分析揭示了头痛自拟处方的常用药物组合,包括桃仁配红花、蜈蚣配全蝎等。结论应用数据挖掘方法系统总结现代中医药治疗头痛自拟处方的药物组成,可以发现组方规律,为临床用药提供依据。Objective To explore the self-prepared herbal prescription law of headache by data-mining and provide reference for treating headache.Methods Articles in CBM,CNKI,VMIS and TCM Database System were retrieved.Data about headache were collected with uniform standards and analyzed with methods including frequency analysis,factor analysis and association analysis.Results The study enrolled 171 literatures.Frequency Analysis showed the most frequently used drugs,including Ligusticum Chuanxiong Rhizoma,Angelicae Dahuricae Radix,Asari Radix et Rhizoma,Scorpio,Paeoniae Radix Alba,Angelicae Sinensis Radix,Glycyrrhizae Radix Rhizoma,Viticis Frectus,Gastrodiae Rhizoma,Bombyx Batryticatus.Through factor analysis,drugs were summarized as six factors.Association analysis revealed the commonly used drug combinations in self-prepared herbal prescription,such as peach hernel and safflower,centipede and scorpio.Conclusion The application of data-mining in TCM could provide a basis for the clinical use of drugs for headache.

关 键 词：头痛 中药自拟方 用药规律 数据挖掘 

分 类 号：R2-05[医药卫生—中医学] R277.771