Medication rule of traditional Chinese medicine in treating menopausal syndrome:Based on data mining method
Objective To explore the medication rule of traditional Chinese medicine(TCM)in treating menopausal syndrome(MPS)based on data mining method,and to provide theoretical support.Methods Related literatures about TCM for the treatment of MPS were retrieved from China National Knowledge Infrastructure(CNKI),Wanfang Database,VIP,Chinese BioMedical Literature Database(CBM),Pubmed,Web of Science.The screened literature was entered into Microsoft Excel 2019 table to establish the MPS prescription database.The chartcool was used for plotting,and the SPSS Modeler 18.0 software was used for correlation analysis to obtain the core drug combinations,and the top 30 most frequently used TCM were subjected to cluster analysis using SPSS Statistics 25.0 software.Results Total 1162 literatures were screened out,with 1463 prescriptions.There were 323 TCM,of which 56 were used frequently≥100.The most frequently used drug was Paeonia lactiflora,and the four natures were mainly warm,and the five flavors were mainly sweet and pungent,which were mainly attributed to the two me-ridians of the liver and the kidney,and the core drug pair of Glossy Privet Fruit-Yerbadetajo Herb with strong association was obtained by the association rule analysis.The top 30 prescription drugs used were subjected to cluster analysis and a total of 8 drug combinations were obtained.Conclusion TCM treatment of MPS focuses on replenishing the liver and kidneys.Glossy Privet Fruit-Yerbadetajo Herb may be the core pair of TCM for MPS,and the medicines to regulating qi,tranquilization and heat-clearing are also used.
Menopausal syndromeData miningTraditional Chinese medicine therapy
万方数据
维普
