Based on data mining to explore the medication rule of Professor Shao Zheng-bin in the treatment of coronary heart disease combined with type2 diabetes mellitus after PCI

摘要

Objective:To explore the clinical medication rule of Shao Zhengbin in the treatment of coronary heart disease with type 2 diabetes mellitus after PCI by using data mining technology.Methods:Shao Zhengbin was collected from January 2016 to may 2019 in the outpatient department of the First Affiliated Hospital of Anhui University of traditional Chinese medicine to treat patients with coronary heart disease combined with type 2 diabetes mellitus after PCI.The data base was established with Microsoft Excel 2016,SPSS statistic 24.0,SPSS modeler 18.0 computer software,and drug frequency analysis,high-frequency drug association rule analysis and clustering were carried out Analysis and factor analysis.Results:of the 133 prescriptions included in the study,86 Chinese herbs were involved,and the top 10 drugs were dangshen,Huangjing,Danshen,Gualou,chuanxiong,fried Atractylodes rhizome,Poria cocos,Fushen and Chenpi respectively;12 drug associations were generated by association analysis,including Huangjing,Huangjing,chuanxiong,dandelion,Dangshen and banpi;12 drug associations were obtained by cluster analysis,including Huangjing,huangxiong,Gualou and Huangqi There are 7 clustering formulas,such as Xia,Danshen,Fuling,Gualou,etc.Conclusion:Shao Zhengbin is good at the treatment of coronary heart disease combined with type 2 diabetes mellitus after PCI.