Abstract: Objective To analyze Professor Jiang Liangduo's medication characteristics and prescription compatibility in the treatment of pulmonary nodules. Methods The effective prescriptions of Professor Jiang Liangduo in the treatment of pulmonary sarcoidosis were collected and entered into the database. R language and python language were used as data mining tools to study the correlation between the data of herbsuse, sex, taste and meridian tropism. Results 238 prescriptions were screened, and the frequency of herbs use and the association rules between herbs were analyzed and determined. There were 10 kinds of traditional Chinese medicine with more than 40% frequency in herbs use. The commonly herbs-associated combination consisted of one core herb and two other groups. The main prescription was bitter herbs, and the main channel was liver. Cluster analysis showed that the core prescription was Scutellaria plus Gegen decoction, minus licorice plus gypsum, Fructus aurantii, Fructus aurantii, often with herbs of promoting blood circulation and removing blood stasis, clearing heat and resolving phlegm, softening hard and dispersing knot. Conclusion In the treatment of pulmonary nodules, Professor Jiang Liangduo's prescriptions are mainly composed of traditional Chinese medicine, such as regulating qi and activating blood circulation, softening hard and dispersing knot, clearing heat and resolving phlegm. Great importance was attached to the relationship between liver, spleen, large intestine, heart, stomach and lung, and likes to use hard, bitter, warm and sweet cold medicines.

Key words: pulmonary nodule, prescription law, R language, correlation analysis, hierarchical clustering