Analysis of Wu Weiping’s medication rules on treating the onset of bronchial asthma based on data mining

Abstract

Objective To analyze Professor Wu Weiping’s medication rules on treating the onset of bronchial asthma based on data mining. Methods The patients’records and prescriptions of Professor Wu Weiping on treating the onset of bronchial asthma were collected and collated, and the frequency and regularity of drug combinations were researched by using the association rules of TCM inheritance support system to analyze the medication experience of Professor Wu Weiping. Results By analyzing the 249 prescriptions of 61 patients, drug properties of the prescription: cold (45.6%), warm (42.6%), bitter(37.9%), pungent (27.5%). Channel tropism: lung, spleen, liver, stomach. The top 10 herbal medicine are Qingbanxia, Chaihu, Fangfeng, Huangqin, Mahuang, Wuweizi, Wumei, Qianhu, Chishao, Kuxingren. The top 3 treatment principle is reducing phlegm, expelling wind evil and regulating qi. Xiaochaihu decoction and Guomin decoction were showed in the article. Conclusions Data dining could help to discover the rules of Professor Wu Weiping’s treatment of the onset of bronchial asthma. The cold and warm drugs, acrid and bitter drugs were used together frequently, while the drugs belonging to the lung, spleen, liver and stomach meridians were used commonly. The evil of phlegm, qi and wind were paid attention to eliminate pathogen. Key words: Asthma; The onset of bronchial asthma; Wu Weiping; Data mining; Medication rule