Exploration on Regularity of Compound Herbal Formulae for Perimenopausal Syndrome by Data Mining
10.3969/j.issn.1005-5304.2013.12.008
- VernacularTitle:基于数据挖掘探索中药复方治疗围绝经期综合征的用药规律
- Author:
Su ZHANG
;
Tiansong ZHANG
;
Xiujuan LI
;
Weiwei ZHANG
;
Baofeng PAN
;
Kemin YANG
- Publication Type:Journal Article
- Keywords:
perimenopausal syndrome;
compound herbal formulae;
regularity;
data mining
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2013;(12):20-23
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study the regularity of compound herbal formulae for perimenopausal syndrome. Methods Compound herbal formulae published on journals for the treatment of perimenopausal syndrome was searched and collected. A database was established for data mining using frequency count, cluster analysis and association rule analysis. Regularity of key herbs and pair (group) of herbs was summarized. Results There were 49 prescriptions (totaling 100 herbs and 553 counts of frequency) in the compound herbal formulae for perimenopausal syndrome. The herbs which were used for more than 3 times included 57 herbs (totally 504 counts of frequency), and they were cluster analysed and classified into 8 clusters including drugs for invigoration, clearing heat, warming and nourishing, restoring vital energy, tranquilizing, calming the liver, soothing the liver, and promoting mentality. The rules in pair of herbs were 39, and rules in group of herbs were 17, by using association rule analysis. Conclusion It was feasible that study the regularity of Chinese compound prescription for the treatment of perimenopausal syndrome by using data mining.
