Analysis of Prescription Medication Rules of Traditional Chinese Medicine for Diabetes Treatment Based on Data Mining.

Abstract

In this study, we have used TCM medical record management platform and SAS statistical software to analyze the cases of a professor in the treatment of type 2 diabetes, in order to explore the medication rules for the treatment of type 2 diabetes, so as to enrich and optimize the diagnosis and treatment plan for type 2 diabetes based on the experience of famous doctors. Chinese medicine treatment provides more diagnosis and treatment ideas. We have collected the professor's treatment of type 2 diabetes, screened out 100 patients, from a total of 285 prescriptions, and entered them into the TCM medical record management platform. We used the TCM medical record management platform and SAS statistical software to analyze his professor's experience in the treatment of type 2 diabetes. The medication analysis is as follows: (1) frequency of medication: 285 cases that met the inclusion criteria used a total of 187 traditional Chinese medicines. Among them, Salvia miltiorrhiza was used most frequently; (2) drug frequency analysis: 285 cases met the inclusion criteria, and the four Qi were mainly cold and warm medicines. The five flavors are mainly sweet, bitter, and pungent drugs. The main meridians are the liver, spleen, and kidney; (3) drug efficacy and classification analysis: 285 cases met the inclusion criteria, and 285 cases met the inclusion criteria and the Chinese medicines involved are the most common medicines used for tonic, heat clearing, blood circulation, and stasis; (4) clustering of medications: 35 Chinese medicines with medication frequency ≥20% are divided into 11 categories. (5) Using the improved Apriori algorithm, the minimum confidence level is selected to be 0.5, data mining is conducted on all type 2 diabetes cases, and a total of 21 recipes are dug out involving 10 Chinese medicines. In this study, with the aid of the TCM medical record management platform and SAS statistical software, cluster analysis, improved Apriori algorithm, and other data mining methods were used to systematically and objectively analyze the professor's treatment of type 2 diabetes cases. The results have clinical significance and can be used for traditional Chinese medicine treatment of type 2 diabetes, which provides an objective basis and provides a certain reference for the current inheritance of traditional Chinese medical experience and summary research.