Analysis of characteristics of traditional Chinese medicine external treatment for dyspepsia based on data mining

Objective. To explore the association rules of external treatment for dyspepsia based on data mining. Methods: With the theme of “indigestion”, from August 2019 to January 2015, we searched in China Knowledge Network and included 140 articles that met the standard, using Excel 2013, SPSS Modeler 14.1, SPSS Statistics 23.0 statistical software. The tool will analyze the frequency analysis and association rules of the external prescriptions and acupoints that meet the inclusion criteria. RESULTS: The frequency analysis found that among the 140 clinical treatment literatures, the single-flavored Chinese medicine Wujing (15,5.58%), cinnamon (15,5.58%) and Asarum (12,4.46%) had the highest frequency; in the sex statistics Sexual cold (15 times, 55.56%) and bitterness (15 times, 40.54%) were the most common; Zhongxin (18 times, 46.15%) and Gan (10 times, 25.64%) were the most common; The group with the highest correlation intensity was combined into 7 groups; the poly 3 group was the core acupoint compatibility in the system cluster analysis. Conclusion: The effective clinical prescription for clinical treatment of dyspepsia can be obtained by using modern information technology to obtain the most critical drugs for the treatment of dyspepsia, acupoint compatibility and potential innovation. It has the effect of reducing clinical over-the-counter medication and over-medication. Significance.