Analysis on the principle of Yang Boliang for the treatment of exogenous diseases based on apriori and clustering algorithm
10.3760/cma.j.issn.1673-4246.2014.04.012
- VernacularTitle:基于数据挖掘的孟河名医杨博良治疗外感病证用药规律研究
- Author:
Jiarui WU
;
Weixian GUO
;
Mengdi ZHAO
;
Xiaomeng ZHANG
;
Bing ZHANG
;
Jie LI
- Publication Type:Journal Article
- Keywords:
Yang Boliang;
Exogenous diseases;
Association rules;
Clustering algorithm
- From:
International Journal of Traditional Chinese Medicine
2014;(4):333-335
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the experience of Yang Boliang for the treatment of exogenous diseases. Methods The prescriptions for exogenous diseases that used by Yang Boliang were collected to build a database, and analyzed by the unsupervised data mining methods, such as apriori algorithm, entropy Clustering complex systems. Results The most frequently used drugs were tuckahoe, stir-baked fructus gardenia, rhizoma pinellinae praeparata, radix curcumae, radix scutellariae, tetrapanacis medulla, poria cocos, caulis bambusae in taenian, lobster sauce, bitter almond, poria with hostood, fructus forsythiae and so on. The core drug combinations were “fructus forsythia- burdock- lobster sauce”, “semen sojae germinatum- radix liquiritiae-talcum- poria with hostood”, “bitter almond- balloon flower- mulberry leaf”, and so on. Conclusion Yang Boliang treated exogenous diseases by using the drugs with relieving superficies by cooling, dispelling dampness and promoting dieresis.
