Mining and Analysis of the Formulation Rules of Chinese Patent Medicine for Cold Based on 2015 Edition of Chinese Pharmacopeia（Part Ⅰ）
- VernacularTitle:基于2015年版《中国药典》（一部）挖掘和分析治疗感冒的中成药的组方规律
- Author:
Haidu HONG
1
;
Chengxin LIU
1
;
Yu HONG
2
;
Huiting HUANG
3
;
Dongting LI
1
;
Yue PAN
1
;
Si CHEN
1
;
Chuangrong CHEN
4
;
Xiaohong LIU
3
Author Information
1. First College of Clinical Medicine，Guangzhou University of TCM，Guangzhou 510405，China
2. Dept. of Geriatrics，the First Affiliated Hospital of Guangzhou University of TCM，Guangzhou 510405，China
3. Dept. of Respiration，the First Affiliated Hospital of Guangzhou University of TCM，Guangzhou 510405，China
4. Dept. of Science and Techno logy，Guangzhou University of TCM，Guangzhou 510006，China
- Publication Type:Journal Article
- Keywords:
Data mining;
Cold;
Chinese patent medi- cine;
Formulation rules;
Correlation rules
- From:
China Pharmacy
2019;30(13):1812-1816
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE： To mine and analyze the formulation rules of Chinese patent medicine for cold， and to provide reference for clinical dialectical medication and R&D of new medicine for cold. METHODS： The name， dosage form， formulation， function of curing of Chinese patent medicines for cold were collected from 2015 edition of Chinese Pharmacopeia （part Ⅰ） and then input into TCM Inheritance Assistant Platform V 2.5； use frequency of TCM were counted. Apriori algorithm and association rules were used to analyze the core medicinal material combination （10％ support and 0.65 confidence）. New formulation combinations were extracted by unsupervised entropy hierarchical clustering method. RESULTS： A total of 130 kinds of Chinese patent medicine （196 Chinese patent medicine with the same prescription and different dosage forms） for treating cold were collected， including granules （47）， pills （32）， tablets （31）， mixtures （31）， etc. 264 medicinal materials were involved. The cold syndromes contained wind-heat syndrome， wind-cold syndrome， summer-dampness syndrome and Qi deficiency syndrome. Top 3 medicinal materials in the list of use frequency were Glycyrrhiza uralensis （45.38％）， Scutellaria baicalensis （32.31％） and Platycodon grandiflorus （31.54％）. There were 28 core medicinal material combinations， among which the top 3 were G. uralensis-P. grandiflorus， Mentha haplocalyx-P. grandiflorus and S. baicalensis-Forsythia suspensa. New combinations were excavated， including Nepeta cataria-P. grandiflorus-M. haplocalyx-Citrus reticulate-Folium Perillae-Citrus aurantium- Poria cocos， F. suspense-S. baicalensis-Lonicera japonica- Arctium lappa-Fermented soybean. CONCLUSIONS： This study analyzed the formulation rules of Chinese patent medicine for treating cold by using the TCM inheritance assistant platform V2.5， which can provide reference for clinical dialectical medication and R&D of new medicines for cold.
