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Research on the drugs of addition and subtraction of empirical formula of traditional Chinese medicine based on association rules

机译:基于关联规则的中医药实证分析的药物和减法研究

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[Objective]: To explore the thoughts of the addition and subtraction of empirical formula of traditional Chinese medicine. [Methods]: To collect the clinical features of insomnia patients treated by the empirical formula of "si-ni and gui-gan-long-mu" prescription (hereinafter referred as to empirical formula)which contained cocta tuber, gingiberi, Zhigancao, carina, ostreae and Guizhi" with added and subtracted drugs from professor Zhimin Yang of Guangdong Province Hospital of Traditional Chinese Medical. We use application of association rules (GRI algorithm) to analysis the association rules between the clinical characteristics and addition and subtraction of drugs. [Results]: We collected 40 insomnia patients by the empirical formula of "si-ni and gui-gan-long-mu "with addition and subtraction of drugs from Professor Zhimin Yang, with a total of 106 clinical features. Using association rules (GRI algorithm), respectively analyzing association rules between the 28 drugs of addition and subtraction out of the prescription and 81 clinical characteristics, and we get 12 association rules, including 5 kinds of addition and subtraction drugs which contained white atractylodes rhizome, Poria cocos, Poria cocos with Rhizoma Pinellinae Praeparata, Fresh dogwood with fructus murne, equivalent Guizhi with Aglaophotis radix herbaceu.[Conclusion]: Using the association rules (GRI algorithm), to set the drugs of addition and subtraction as post-item, and the symptoms as pre-item which can meet the clinical characteristic of empirical formula. It is an effective and objective method to explore the empirical formula of addition and subtraction.
机译:[目的]探讨中医药实证公式的添加和减法思考。 [方法]:收集含有Cocta Tuber,Gingiberi,Zhigancao,Carina含有Cocta Tuber,Gingiberi,Zhigancao,Carina含有Cocta Tuber,Gingiberi,Zhigancao,Carina含有官Cocta Tuber的失眠患者的失眠患者的临床特征,Ostreae和Guizhi“随着广东省中医学医院的志金杨教授的添加和减去药物。我们使用应用关联规则(GRI算法)的应用来分析临床特征与药物的添加和减法之间的关联规则。[结果]:我们通过志宁杨教授的药物添加和减少药物的经验公式收集了40名失眠患者,共有106名临床特征。使用关联规则(GRI算法)分别分析28种药物的结算规则,减法与处方和81个临床特征,我们获得了12条关联规则,包括5种的含有白术,茯苓,茯苓与川芎Pinellinae Praeparata,新鲜山茱萸与枸杞murne加减药物,具有Aglaophotis等效桂枝基数herbaceu [结论]:使用关联规则(GRI算法),来设置添加和减法的药物作为后项,以及症状作为可以满足经验公式的临床特征的症状。它是一种有效和客观的方法,用于探讨加法和减法的经验公式。

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