Research on treatment and medication rule of insomnia treated by TCM based on data mining

Objectives: Based on data mining technology, this research explores the rules of traditional Chinese medicine treatment of insomnia and obtains some significant medical implication through data mining. Technology or Method: Nearly 6,000 electronic medical records of Chinese medicine clinics are selected, and data pre-processing is performed. Then, Aripori's data mining algorithm is used to analyze prescription medication rule, and the association between symptoms and drugs. Finally, a network diagram is built through complex network analysis. Results: There are 631 insomnia cases that met the criteria, 22 typical symptoms, and 330 drugs. There are 6 symptom association items with a confidence level of more than 30%, 46 drug association items with a confidence level of more than 75%, and 40 symptom association rules with a confidence level of more than 40%. Conclusions: The results showed the rule of medication used in the diagnosis and treatment of insomnia in Chinese medicine outpatients, and found the association between prescription medication rules and symptomatic drugs. Clinical or Biological Impact: This paper provides a reference to the clinical diagnosis and treatment of young physicians, and provides a reference to the development of new drugs. And to promote the development of the theory and practice of traditional Chinese medicine prescriptions is conducive to inheriting and carrying forward the experience and advantages of Chinese medicine treatment of insomnia.