Background: In recent years, malignant tumors have gradually become one of the main causes of death for Chinese residents, of which lung cancer ranks first in both the incidence and mortality in China.
Objective: To mine the text of traditional Chinese medicine (TCM) clinical medical cases after data cleaning, analyze it, and study the experience of TCM doctors in treating non-small cell lung cancer (NSCLC).
Methods: The applied approach was based on the data mining methods of decentralized and hierarchical system clustering of data from a drug and prescription database.