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基于数据挖掘的“交通心肾法”用药规律研究 被引量:3

Study on Medication Rules of Jiaotong Xinshen Treating Principle Based on Data Mining
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摘要 目的基于中医传承辅助平台,探讨"交通心肾法"在现代临床上的应用规律。方法分析中国知识资源总库(CNKI)、万方数据库中应用"交通心肾法"治疗相关疾病的处方,以"交通心肾""心肾不交"等为关键词在数据库中检索相关医案处方,应用中医传承辅助平台(V2.5)软件构建数据库,使用频次统计、关联规则等数据挖掘方法,分析"交通心肾法"处方药物规律并发现新方。结果共纳入"交通心肾法"处方186首,确定了处方中药物出现的频次、药物之间的关联规则,挖掘出12个药物核心组合和6首新处方。结论借助数据管理平台和数据挖掘技术,可在一定程度上发现"交通心肾法"在现代临床上的应用规律。 Objective To analyze the application rules of Jiaotong Xinshentreating principle in modern clinic based on TCM inheritance auxiliary platform.MethodsJiaotong Xinshen treating principle related prescriptions in CNKI and Wanfang databases were analyzed.“Jiaotong Xinshen”and “Xinshen Bujiao” were set as key words to retrieve relevant prescriptions in the databases. TCM inheritance auxiliary platform (V2.5) software was used to establish database. Data mining methods, such as frequency statistics and association rules were used to analyze new prescriptions aboutJiaotong Xinshen treating principle guided medication rules.ResultsTotally186 prescriptions were collected and analyzed. Medicine frequency and association rules among medicines in the prescriptions were confirmed. 12 medical combinations and 6 new prescriptions were mined.ConclusionThe data management platform and data mining methods can be applied in discovering the prescription patterns and medications rules ofJiaotong Xinshen treating principle in clinical application.
出处 《中国中医药信息杂志》 CAS CSCD 2016年第5期40-43,共4页 Chinese Journal of Information on Traditional Chinese Medicine
关键词 交通心肾法 配伍规律 数据挖掘 Jiaotong Xinshen treating principle composition principle data mining
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