Professor Xie Wen's Medication Rules for Treating Coronary Heart Disease Based on Data Mining

DENG Siwei; XIE Wen

doi:10.12102/j.issn.1672-1349.2026.03.010

Abstract：Objective:To explore Professor Xie Wen's medication rules for treating coronary heart disease based on data mining.Methods:The case data from 111 coronary heart disease patients who visited Professor Xie Wen's outpatient clinic at Hospital of Chengdu University of Traditional Chinese Medicine from January 2023 and January 2024 were selected.The drug formulations from the 111 prescriptions were organized and compiled into an Excel database.Frequency analysis was conducted on the properties,tastes,and meridian tropism of the drugs,visualized using radar charts.Association rules were explored using SPSS Modeler to investigate the combinations of high-frequency drug pairs,with complex network diagrams generated.Cluster analysis was performed using SPSS 26.0,producing a hierarchical clustering tree diagram.Results:A total of 111 prescriptions for treating coronary heart disease from medical institutions were screened and obtained.Among them,19 kinds of drugs had a frequency＞20 times.The four natures were mainly warm,neutral,and cold.The five flavors were mainly pungent,sweet,and bitter.The channel entry were mainly related to the lungs,spleen,and liver.Association rules yielded 10 associated drug groups(with a minimum condition support degree of 0.2 and a minimum rule confidence degree of 0.8),and cluster analysis resulted in 3 clustering patterns.Conclusion:Professor Xie Wen often treated chest Bi and heart pain by regulating congenital constitution,and centering on holistic principles.He adeptly employed authentic Sichuan medicinal herbs,adapting to three factors,while aligning with the principles of the five circuits and six Qi,harmonizing Qi dynamics through simultaneous management of psycho-cardiology and simultaneous treatment of the heart and spleen,regulating the heart spirit.