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基于数据挖掘的牛建昭教授治疗更年期综合征用药规律研究 被引量:7

Research on Traditional Chinese Medicine Professor Niu Jianzhao's Medication Rule in Prescriptions with Climacteric Syndrome Based on Data Mining
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摘要 目的:利用数据挖掘技术探究牛建昭教授治疗更年期综合征的用药规律,为更年期综合征的临床治疗提供参考。方法:收集并筛选牛建昭教授门诊中的更年期综合征病例,构建处方数据库,基于中医传承辅助平台使用关联规则和熵聚类算法对处方进行数据挖掘,分析用药频次、性味归经、组方规律、药物组合关联性、提取核心药物组合与创新处方。结果:数据挖掘得出高频单味药22个,高频药物组合28对,关联规则置信度高于0.95药物20组,高关联药对52个,三味药核心组合32个,新方7个。结论:牛建昭教授治疗更年期综合征的常用药物以补肾、柔肝、健脾相结合,兼以活血通络、安神定志;所用药四气以温寒平为主;所用药五味以甘苦辛为主;所用药物主要归肝、肾、肺经。基于挖掘结果可较好的分析牛建昭教授治疗更年期综合征的用药规律。 This study was aimed to explore traditional Chinese medicine(TCM) professor Niu Jianzhao's medication rule in prescription with climacteric syndrome.Prescriptions treating climacteric syndrome that built by professor Niu were collected to build a database based on TCM Inheritance Assist System.The method of association rules with apriori algorithm was used to achieve frequency of single medicine,nature,taste and channel tropism of herbs,frequency of drug combination,association rules between herbs and core herb combinations.The data mining results showed 22 types of herbs used with high frequency,28 pairs of herb combination with most frequency,20 groups of herb association rules with the confidence of more than 0.95,52 herb pairs with high association,32 groups of three herbs as the core combinations,and 7 new prescriptions.It was concluded that in professor Niu Jianzhao's treatment of climacteric syndrome,the drugs were commonly used to invigorate the kidney,liver and spleen,and in combination with promoting blood circulation and calming the nerves.The medicinal properties of used herbs were even,warm or slightly cold.The tastes of used herbs were sweet,bitter and spicy.The channel tropisms of used herbs were the liver,kidney and lung meridian.This study highlighted data mining as an important tool for expedited analysis of TCM professor Niu Jianzhao's medication rules in prescriptions with climacteric syndrome.
出处 《世界科学技术-中医药现代化》 CSCD 2017年第10期1680-1686,共7页 Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基金 高等学校学科创新引智计划 中西医结合学科创新引智基地(B07007) 主持人:牛建昭 国家自然科学基金面上项目(81573716):基于纤维化相关micro RNAs筛选的中药抗多器官纤维化异病同治内涵的研究 负责人:李彧
关键词 更年期综合征 组方规律 数据挖掘 关联规则 聚类算法 Climacteric syndrome, prescription rule, data mining, association rules, clustering algorithm
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