Correlation Analysis on Drugs of Endogenous Wind Syndrome Based on Collation of Ancient Medical Cases
10.3969/j.issn.1005-5304.2013.09.007
- VernacularTitle:基于古籍医案的内风病证药物关联规则分析
- Author:
Jianlin WU
- Publication Type:Journal Article
- Keywords:
endogenous wind;
drugs;
association rules;
medical cases
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2013;(9):18-21
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the association rules of drugs of endogenous wind syndrome (EWS) based on collation of ancient medical cases, and the rules of drug compatibility and pathogenesis characteristics in EWS. Methods With chief source of Chinese Medical Dictionary, 777 EWS cases were systematically collected from ancient medical documents, related drugs were standardized to establish drug information database, and the association rules of drug used were analyzed. Results The common drug pairs in EWS included Angelica and Bupleurum, Poria and Bupleurum, Poria and Alisma, Poria and Yam, Angelica and Astragalus. Three interrelated drugs were Angelica-Bupleurum-Poria, Banxia-Bamboo Lek-Ginger, Poria-Ginseng-Orange, Banxia-Orange-Hook Vine, Angelica-Astragalus-Ginseng. Four interrelated drug were Poria-Orange-Banxia-Licorice, Ginseng-Atractylodes-Poria-Angelica, Poria-Atractylodes-Licorice-Peony Root, Angelica-Atractylodes-Licorice-Peony Root. Five interrelated drugs were Angelica-Atractylodes-Licorice-Poria-Peony Root, Angelica-Atractylodes-Licorice-Poria-Ginseng. Conclusions Correlation analysis has a good application in the collation of medical cases, and can reflect drugs compatibility and pathogenesis characteristics in diseases.
