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The Chinese pharmacopoeia and standards of the ministry of Traditional Chinese medicine contain Arisaematis rhizoma for external use analysis of medication law

机译:中药部的中国药典和标准含有Arisaematis Rhizoma用于外用药物治疗

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Objective: To analyze the law of external use of Chinese patent medicine containing Arisaematis rhizoma. Methods: According to the 2015 edition of the Chinese Pharmacopoeia and the Ministry of Standards, the data on the external treatment of Arisaematis rhizoma Chinese Medicine is used as the data source. Excel 2013, Clementine 12.0 and SPSS Statistics 19.0 statistical software are used as tools to statistically process the Chinese medicines included in the standard. Analysis of association rules. Results: Among all formulations included in the inclusion criteria, the top six herbs with the highest cumulative frequency are Arisaematis rhizoma (39, 100%), Angelicae dahuricae radix (27, 69.23%), Borneolum (25, 64.10%), Aconiti kusnezoffii radix (23, 58.97%), Camphor (20,51.28%) and Aconiti radix (20, 51.28%). Through the association rule analysis of the Chinese patent medicine containing Arisaematis rhizoma for external use, it is found that there are 11 kinds of common drugs and 9 kinds of common clinical diseases. Conclusion: Through the analysis of the external treatment of Chinese patent medicine containing Arisaematis rhizoma, the law and compatibility characteristics of Arisaematis rhizoma in the treatment of different diseases are reflected. Mathematical statistics is an important tool for the analysis of the law of Chinese medicine, providing more accurate basis for guiding clinical medication.
机译:目的:分析含有胂氨基菌含有胂根茎的中药外用法。方法:根据2015年版的中国药典和标准部,艾斯其半药外部治疗中医的数据用作数据源。 Excel 2013,Clementine 12.0和SPSS统计19.0统计软件用作统计处理标准中包含的中药的工具。关联规则分析。结果:在纳入标准中包含的所有配方中,累积频率最高的前六种草药是arisaematis Rhizoma(39,100%),Angelicae Dahuricae Radix(27,69.23%),葡萄酒(25,64.10%),Aconiti Kusnezoffii凸菌(23,58.97%),樟脑(20,51.28%)和aconiti adrix(20,51.28%)。通过含有亚特征性质的中国专利药物的关联规律分析,发现存在11种常见药物和9种常见的临床疾病。结论:通过分析含有亚特征性质的中国专利医学的外部治疗,体现了艾沙蒙西湿土的法律和相容性。数学统计是分析中医法律的重要工具,为指导临床药物提供更准确的基础。

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