Objective:

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To summarize medication law of prescription and clinical experience on the treatment of chronic cough through data mining technology.

Method:

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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:

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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:

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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.