Analysis on the law of differentiating and treating insomnia by physicians based on cluster analysis of drug syndrome

• 作者: Hui Chi Ying Gao
• 来源期刊: 海南医科大学学报（英文版）
• 年，卷（期）: 2022,（1）
• 所属期刊栏目: Original article
• 页码范围: 56-63
• 页数: 8页
• 语种: 英文

摘要

Objective: To explore the general differentiation and treatment of insomnia by Professor Gao Ying through drug clustering and group correspondence analysis, and provide reference for clinical diagnosis and treatment. Methods: Collect retrospective case data from outpatient system, use SPSS20.0 software to perform frequency and cluster analysis on high-frequency symptoms and drug data, and perform corresponding analysis on the clustered drug syndrome groups. Results: A total of 349 consultations in 204 patients were included. Cluster analysis of 35 symptoms and 40 flavors with a frequency of more than 10％ resulted in a corresponding relationship between 7 symptom groups, 6 drug groups and 5 drug syndrome groups. The medicine symptom group has a high degree of matching; the doctors distinguish and tre at insomnia with calming, clearing heat, nourishing yin, liver, spleen, qi and phlegm as the core treatment, with consistent decoction, two to pill, lily ground Huang Tang, Lily Zhimu Decoction, Wendan Decoction, Sini San, Xiao Chai Hu Tang, Xiaoyao San, etc. are commonly used prescriptions; the physician's experience is to add or subtract Danshen and Zao Ren drink, which has a wide range of applicability to various insomnia syndrome. Conclusion: Based on the cluster analysis of drug symptoms and group correspondence analysis, it can reveal the pathogenesis, treatment and class information hidden in the data of drug symptoms, which can reflect the general law of physicians' syndrome differentiation and treatment of insomnia. This method has a reference for the exploration of TCM clinical experience significance; The results of this study can provide feedback to guide the clinical diagnosis and treatment of insomnia.