Study on the medication rule of Wang Xun in the treatment of dysentery based on Data Mining

Objective: Based on data mining, Wang Xun's medication rule in the treatment of dysentery was discussed. Methods: the traditional Chinese medicine used in the prescriptions for dysentery in Wang Xun's "Tzu hang Ji Sanyuan Puji Fang" was counted, the names of the drugs were standardized, and their properties, taste, efficacy and meridian tropism were investigated respectively. The database was established with the help of Microsoft Excel 2016, SPSS statistic 24.0 and SPSS modeler 18.0 computer software, and the frequency analysis and high-frequency drug association rules were carried out Analysis, cluster analysis. Results: 44 prescriptions of Wang Xun's dysentery were sorted out and 64 traditional Chinese medicines were used, of which 22 were high-frequency drugs (drugs with frequency ≥ 5％). The top ten drugs were Cheqianzi, Danggui, liquorice, Muxiang, white peony, Fructus aurantii, areca, Poria cocos, radish and rhubarb. The correlation analysis produced "Raphanus seed→Plantago asiatica, Bitter orange→liquorice, tangerine peel→Fructus aurantii, Fructus aurantii→Cheqianzi, areca There are 15 associations of 2 kinds of drugs, such as hammer, Cheqianzi, Fructus aurantii, Muxiang, and so on. Cluster analysis shows that there are 4 cluster formulas: Angelica, Cheqianzi, Raphani, Fructus aurantii, white peony, liquorice, areca, red peony, tangerine peel, rhubarb, Fructus aurantii, Magnolia officinalis and Coptis. Conclusion: the method of data mining is to study the rule of Wang's prescription in the treatment of dysentery, so as to summarize the characteristics of Wang's prescription in the treatment of dysentery, which has guiding significance for clinical treatment of dysentery.