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基于数据挖掘的外感发热组方用药规律研究 被引量:2

Study on the Prescription Law for Exogenous Fever Based on Data Mining
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摘要 目的 :总结中医治疗外感发热的组方用药规律。方法 :收集整理中医治疗外感发热相关经典方剂,并录入至中医传承辅助系统,运用软件集成的数据改进互信息法、复杂系统熵聚类法、无监督的熵层次聚类等数据挖掘方法,对其用药规律进行分析。结果:共纳入方剂165首,用药235味。药物使用频次前3位分别为炙甘草(89)、黄芩(61)、柴胡(39);药物组合使用频次前3位分别为炙甘草、黄芩(33),黄连、黄芩(28),栀子、黄芩(27);药物关联系数前3位分别为麦冬、鳖甲,麦冬、大黄,连翘、厚朴;演化出核心组合22组,新处方11首。结论:外感发热用药以清热药、补虚药、解表药为主,其次是泻下药、化痰止咳药。 Objective:To summarize the prescription law for exogenous fever by traditional Chinese medicine (TCM). Methods:The relevant TCM classical for exogenous fever were collected and input into Traditional Chinese Medicine Inheritance Support System(TCMISS),and thereafter analyzed by data mining methods such as improved mutual information method,complex system entropy clustering,and unsupervised hierarchical clustering of the software. Results:In the 235 drugs of 165 prescriptions included,the top 3 frequently used drugs are Zhigancao(89),Huangqin(61),and Chaihu(39);the top 3 frequently used drug combinations are Zhigancao and Huangqin(33),Huanglian and Huangqin(28),Zhizi and Huangqin(27);the top 3 correlated drugs are Maidong and Biejia,Maidong and Dahuang,Lianqiao and Houpu. Finally,22 core drug combinations and 11 new prescriptions were deduced. Conclusion:In the treatment of exogenous fever,herbs for clearing heat,tonifying deficiency and relieving exterior syndrome are the major one,followed by for purgating,resolving sputum and stopping cough.
出处 《山东中医杂志》 2017年第8期642-643,656,共3页 Shandong Journal of Traditional Chinese Medicine
基金 山东省高校中医药抗病毒协同创新中心项目(编号:XTCX2014A02-01) 山东省重点研发计划项目(编号:2016GSF202032)
关键词 外感发热 中医传承辅助系统 数据挖掘 组方用药规律 exogenous fever traditional Chinese medicine Inheritance Support System data mining prescription law
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