首页> 中文期刊>中国中医药信息杂志 >基于关联规则挖掘技术的失眠方配伍分析

基于关联规则挖掘技术的失眠方配伍分析

     

摘要

目的 采用关联规则挖掘技术对失眠方组方配伍规律进行挖掘分析,为临床医师的辨证论治及失眠症的新药研究提供依据.方法 对所选失眠方剂进行信息标准化处理,通过迭代,检索出事务数据库中的所有失眠方剂中支持度≥20%的中药项集,再利用频繁项集构造出置信度≥60%的中药之间的关联规则(配伍关系).结果 通过频繁项集共挖掘失眠方支持度>20%、置信度>60%的核心药对共18组,置信度>60%、支持度>20%的3味核心药组共17组.核心药对及药组主要配伍药物是炒酸枣仁、人参、当归、茯神、麦冬、远志、甘草、白茯苓、柏子仁、生地黄、熟地黄等.结论 核心药对与核心药组均属补益药与安神药配伍,由此可知补虚、安神是治疗失眠的基本治法.%Objective To mine and analyze the association rules and compatibility laws from insomnia prescription for the diagnosis and treatment of insomnia. Methods Information of selected insomnia prescriptions was standardized, all Chinese medicine itemsets with support value ≥20% in insomnia prescriptions database were retrieved, association rules of Chinese medicine with confidence level ≥60% were mined. Results There were 18 core pairs of drugs with support value > 20% and confidence level > 60% were mined out. Moreover, 17 core groups of three drugs with support value>20% and confidence level> 60% were mined out. Compatibility drugs in core pairs of drugs and core groups of drugs were Semen Ziziphi Spinosae, Ginseng, Angelica, Fu Shen, Ophiopogon, Polygalaceae, Licorice, Poria Cocos, Bozi, Rehmanniae Radix, Prepared Radix Rehmanniae, etc. Conclusion The core pairs of drugs and core groups of drugs were drug compatibility of reinforcing deficiency and tranquilization, which imply that reinforcing deficiency and tranquilization is the basic treatment for insomnia.

著录项

相似文献

  • 中文文献
  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号