Research based on data mining compatibility of traditional Chinese medicine with Professor WANG Dong

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Objective: To study the law of compatibility of traditional Chinese medicine in the treatment of primary dysmenorrhea by Professor WANG Dong?mei. Methods:This study collected the Professor WANG Dong?mei\'s prescriptions for primary dysmenorrhea cases in the outpatient department,to establish a database by Excel 2015,and to use IBM SPSS statistics 24.0 and SPSS Clementine 12.0 software for clustering analysis and association rules data mining analysis. Results:A total of 106 cases were included,106 prescriptions were collected,114 kinds of drugs were used,nd the cumulative frequency of drug use was 1876 times;the top three drugs were white peony(89 times),Xiangfu(77 times),red peony(75 times);the drugs with the most drug properties and taste frequency were warm and sweet drugs,which were mainly liver meridian;four common pair?used drug groups were Xiangfu yanhusuo,angelica white peony etc. and six groups were common clustering groups. Conclusion:Professor WANG Dong?mei usually chooses the drugs of sweet,warm or spicy in the treatment of primary dysmenorrhea. In addition to the natural efficacy,Prof. Wang also considers modern pharmacological effect in the specific drug selection. The commonly used prescription combination is Shaofu Zhuyu Decoction,which embodies Professor WANG Dong?mei\'s academic thought of treating primary dysmenorrhea “mainly by warming and regulating qi and blood”,and for patients with reproductive needs,in addition to promoting blood circulation and relieving pain,she also adds menstruation regulating and pregnancy aiding drugs,which can not only improve the symptoms of primary dysmenorrhea,but also meet their fertility desire.
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