首页|Analysis on the law of differentiating and treating insomnia by physicians based on cluster analysis of drug syndrome
Analysis on the law of differentiating and treating insomnia by physicians based on cluster analysis of drug syndrome
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NETL
NSTL
万方数据
维普
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.
Insomnia Treatment based on syndrome differentiationLaw of drug symptomsCluster analysisData mining
Hui Chi、Ying Gao
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Dongzhimen Hospital of Beijing University of Chinese Medicine,Beijing 100700,China
Traditional Chinese Medicine Inheritance and InnovationHundreds of MillionsTalent Project(QiHuang Project)-Qihuang ScholarsNational Education and Development of Traditional Chinese Medicine
NETL
NSTL
万方数据
维普
