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纸质出版日期:2018
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陈一君, 林秋珊, 刘颖, 等. 基于R语言以当归芍药散为例探究辛润法的组方规律[J]. 中国实验方剂学杂志, 2018,24(11):185-192.
CHEN Yi-jun, LIN Qiu-shan, LIU Ying, et al. Analysis of Composition Principles of Xinrun Treatment Based on Danggui Shaoyaosan with R Language[J]. Chinese journal of experimental traditional medical formulae, 2018, 24(11): 185-192.
陈一君, 林秋珊, 刘颖, 等. 基于R语言以当归芍药散为例探究辛润法的组方规律[J]. 中国实验方剂学杂志, 2018,24(11):185-192. DOI: 10.13422/j.cnki.syfjx.20181142.
CHEN Yi-jun, LIN Qiu-shan, LIU Ying, et al. Analysis of Composition Principles of Xinrun Treatment Based on Danggui Shaoyaosan with R Language[J]. Chinese journal of experimental traditional medical formulae, 2018, 24(11): 185-192. DOI: 10.13422/j.cnki.syfjx.20181142.
目的:基于当归芍药散"辛润"的理论价值,探究该方中辛温药物当归、川芎在辛润法中的组方规律。方法:纳入《中国方剂数据库》中当归、川芎"辛润"相关方剂,使用R语言,R-studio软件,进行数据透视,Apriori算法的关联规则挖掘,提取、分析相关方剂的药物频次、药物组合、以及核心药组的关联用药情况。结果:纳入川芎"辛润"方剂共91首,得到22个核心组合及19条关联规则,其中15条规则置信度为1,"白芍= > 当归","川芎,白芍= > 当归","茯苓= > 当归","川芎,茯苓= > 当归"4条规则的提升度大于1;纳入当归"辛润"方剂共284首,得到25个核心组合及19条规则,置信度均为1。高频次药物主要有理血药、补气药、清热药、祛风药、理气药;核心用药组合有"川芎-当归"(74%),"川芎-甘草"(55%),"川芎-白芍"(48%),"当归-甘草"(46%),"当归-白芍"(42%),"当归-地黄"(36%);高支持度核心药组关联用药常见当归、川芎、芍药、甘草相关配伍。结论:"辛润"治燥方剂当中,当归、川芎重点与补益肝肾、疏肝理血药物同用,常配伍补气健脾、祛风解表药物,体现出"辛润"流津布液治燥法的组方规律;核心用药规律与当归芍药散的配伍特点基本一致。
Objective: To explore the composition principles of ‘Xinrun(heat-moisturizing)’ treatment containing Angelicae Sinensis Radix or Chuanxiong Rhizoma based on the ‘Xinrun’ theory value of Danggui Shaoyaosan. Method: Formulas containing Angelicae Sinensis Radix or Chuanxiong Rhizoma related to ‘Xinrun’ treatment in the Chinese Prescription Database were collected. With the R language and R-studio software
the methods of data-mining including association rules and Apriori algorithm were used to extract and analyze the frequency of single medicine
the frequency of drug combination
and the association rules in core drug combinations. Result: A total of 91 ‘Xinrun’ formulas about Chuanxiong Rhizoma were included
and 22 core drug compositions and 19 association rules were obtained
15 association rules of which had a confidence of 1
while the lift of 4 rules (Paeoniae Radix Alba=>Angelicae Sinensis Radix
Chuanxiong Rhizoma and Paeoniae Radix Alba=>Angelicae Sinensis Radix
Poria=>Angelicae Sinensis Radix
and Chuanxiong Rhizoma and Poria=>Angelicae Sinensis Radix) was greater than 1.A total of 284 ‘Xinrun’ formulas about Angelicae Sinensis Radix were found
and 25 core drug compositions and 19 rules were obtained
all of which had a confidence of 1.Herbs used in high frequency included blood conditioning medicine
Qi supplementing medicine
heat clearing medicine
wind expelling medicine
and Qi regulating medicine. Core drug combinations contained ‘Chuanxiong Rhizoma-Angelicae Sinensis Radix’ (74%)
‘Chuanxiong Rhizoma-Glycyrrhizae Radix et Rhizoma’ (55%)
‘Chuanxiong Rhizoma-Paeoniae Radix Alba’ (48%)
‘Angelicae Sinensis Radix-Glycyrrhizae Radix et Rhizoma’ (46%)
‘Angelicae Sinensis Radix-Paeoniae Radix Alba’ (42%)
and ‘Angelicae Sinensis Radix-Rehmanniae Radix’ (36%). Angelicae Sinensis Radix
Chuanxiong Rhizoma
Paeoniae Radix Alba
Glycyrrhizae Radix et Rhizomacompatibilities were common in core drug combinations with high support degree. Conclusion: Based on the ‘Xinrun’ formulas
Angelicae Sinensis Radix or Chuanxiong Rhizoma were most frequently used with medicines which tonify the liver and kidney or soothe the liver and blood
often compatible with the medicines which tonify Qi and invigorate the spleen or expel the wind
indicating that the composition principles of ‘Xinrun’ treatment was based on the method of helping the body fluid flow indirectly. The core composition principles were basically the same with the compatibility characteristics of Danggui Shaoyaosan.
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