Analysis of professor Shen Shuwen′s prescription for diarrhea based on data mining
ZHENG Manman1 YANG Zhihong2▲
1.Department of Traditional Chinese Medicine, the First Clinical Medical College, Shaanxi University of Chinese Medicine, Shaanxi Province, Xianyang 712000, China;
2.Shen Shuwen′s Studio of Famous Doctor, Affiliated Hospital of Shaanxi University of Chinese Medicine, Shaanxi Province, Xianyang 712000, China
Abstract：Objective To analyze the rules of professor Shen Shuwen′s prescriptions for diarrhea by using data mining. Methods The prescriptions of the patients diagnosed as “diarrhea” in the Famous Medical Studio of Affiliated Hospital of Shaanxi University of Chinese Medicine and the Famous Medical Center of the Second Affiliated Hospital of Shaanxi University of Chinese Medicine from January 2016 to December 2018 were collected. With the aid of the auxiliary system of traditional Chinese medicine inheritance, the methods such as association rules, entropy clustering of complex systems were used to analyze the frequency of drug use, the rules of formula formation, core drug pairs and potential new prescriptions. Results One hundred and ninety-two prescriptions were included, involving 170 flavors of traditional Chinese medicine, and 8 groups of core drugs and 4 potential new prescriptions were used. Conclusion According to the results of data analysis, professor Shen Shuwen used properties of drugs for diarrhea are mainly based on warm and mild drugs, such as Fried Rhizoma Atractylodis Macrocephalae, Pericarpium Citri Reticulatae, Radix Paeoniae Alba, Fructus Psoraleae, Semen Myristicae, etc. In addition to pungent, bitter and sweet drugs are main flavours of the five flavours. Therefore, Jianpi Yiqi is put in the first in the treatment of diarrhea.
郑漫漫1 杨志宏2▲. 基于数据挖掘分析沈舒文教授治疗泄泻组方规律[J]. 中国医药导报, 2020, 17(2): 132-135.
ZHENG Manman1 YANG Zhihong2▲. Analysis of professor Shen Shuwen′s prescription for diarrhea based on data mining. 中国医药导报, 2020, 17(2): 132-135.
2020, Vol. 17 
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