ABSTRACT
Objective:To summarize medication law of prescription and clinical experience on the treatment of chronic cough through data mining technology. Method:The formula information of 650 cases of chronic cough cases diagnosed and treated by professor HAN Ming-xiang was processed with data mining technology, and system cluster analysis and factor analysis were conducted by SPSS Statistics 22.0. Result:High-frequency medicines of professor HAN Ming-xiang for treating chronic cough were Stemonae Radix, Citri Reticulatae Pericarpium, Asteris Radix et Rhizoma and other 37 herbs, their frequency of occurrence accounted for 80.52%. According to the efficacy, the medicines could be classified into 10 categories, such as expectorant cough antiasthmatic drugs, tonifying deficiency drugs, and diaphoretic drugs. Cluster analysis showed 5 combinations of drugs. Factor analysis yielded 13 common factors, such as Stemonae Radix-Asteris Radix et Rhizoma-Farfarae Flos-Cynanchi Stauntonii Rhizoma et Radix, Asari Radix et Rhizoma-Schisandrae Chinensis Fructus-Zingiberis Rhizoma-Fritillariae Thunbergii Bulbus. Conclusion:Combined with clinical experience, it can be concluded that clinical treatment of professor HAN Ming-xiang for chronic cough attaches great importance to the pathogenesis of wind-evil, Yang deficiency and cold phlegm underlying lung, phlegm and blood stasis and Qi stagnation. The treatment mainly starts from the lung and spleen, with the method of warm and moist, or with some traditional Chinese medicines with the function of removing phlegm by warming the lung, dispersing cold by thinning the surface, strengthening the spleen and resolving phlegm, strengthening the lung and fixing the surface, and relieving spasmolysis by wind.