Summarizing Professor Lei Zhang's Therapeutic Experience of Dyspnea Disease Based on Machine Learning

Objective: To summarize Professor Lei Zhang's clinical experience in treating asthma. Technology or Method: The 11038 cases of Professor Zhang Lei from 2006 to 2017 were digitization, and the clinical case database of Professor Zhang was established. Three professional researchers extracted medical records of asthma syndrome from the database and established the prescription database of asthma syndrome. Finally, R Studio platform is used to apply association rules, hierarchical clustering and other machine learning methods to study prescription medical cases. Results: 260 medical cases, 238 related prescriptions and 323 kinds of Traditional Chinese medicine were excluded function. It is emphasized to grasp the physiological characteristics of the lung, pay attention to the characteristics of "purge and purge", and the identification and treatment of asthma syndrome are complex, especially the dosage and compatibility of drugs should be paid attention to in clinical practice. and included Ephedra, Bitter apricot seed and Perilla fruit are the three drugs with the highest frequency of use. Among them, 40 traditional Chinese medicines have higher than average frequency of use. Cluster analysis of 9 practical combinations of symptoms and Traditional Chinese medicine. Conclusion: Professor Zhang believes that lung diseases, weak lung Qi, sputum is the root of asthma syndrome. Asthma, oppression in Chest, cough and other diseases are commonly seen in the treatment of asthma syndrome due to evil Qi blocking lung, obstruction of Qi and loss of lung.