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- W4384569968 abstract "To apply data statistics to analyze the drug use rules of Professor Li Jun in the treatment of coronary heart disease.Based on the software of the TCM Inheritance Auxiliary Platform, the 2015-2017 coronary heart disease cases treated by Professor Li Jun, a famous old Chinese medicine doctor in Shaanxi Province, were collected, and 50 valid cases were screened out from them, and a party database of coronary heart disease was constructed, and the data collection and analysis functions of the software were used to analyze the input data for statistical analysis of drug frequency, prescription rules, and new prescriptions. Among the 50 prescriptions for the treatment of coronary heart disease, a total of 80 Chinese medicines were involved; the most frequent drug use was: Pinellia Ternate,Pericarpium Citri Reticulate , the root of Kudzu Vine,Ground Beetle, Ligusticum Wallichii; the five places with the highest frequency of drug combinations were: Pinellia Ternate, Pericarpium Citri Reticulate, Pinellia Ternate,the root of Kudzu Vine, Pinellia Ternate, Ground Beetle, Pericarpium Citri Reticulate, the root of Kudzu Vine, Pinellia Ternate, Pericarpium Citri Reticulate, the root of kudzu Vine,and 18 drug core combinations and 9 new combinations were excavated. Taking sputum stasis as the basic mechanism for the treatment of coronary heart disease,the treatment method of gasification of phlegm and blood circulation is adopted, and the clinical effect is remarkable, which provides a broader reference value for the clinical treatment of coronary heart disease." @default.
- W4384569968 created "2023-07-18" @default.
- W4384569968 date "2023-01-01" @default.
- W4384569968 modified "2023-10-16" @default.
- W4384569968 title "Study on the Drug Use Pattern of Professor Li Jun's Treatment of Coronary Heart Disease Based on Association Rules and Entropy Clustering of Complex Systems" @default.
- W4384569968 doi "https://doi.org/10.25236/fmsr.2023.050719" @default.
- W4384569968 hasPublicationYear "2023" @default.
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