基于数据挖掘法的王晖教授治疗糖尿病用药规律研究

The Research Based on Association Rule and Entropy Clustering Algorithm of the Principle of Herbs Used by Professor WANG Hui in Treating Diabetes

[目的]探讨王晖教授治疗糖尿病的处方用药规律。[方法]收集王晖教授治疗糖尿病的处方,基于中医传承辅助系统软件,采用关联规则apriori算法、复杂系统熵聚类等无监督数据挖掘方法,确定处方中各种药物的使用频次及药物之间的关联规则,分析王晖教授治疗糖尿病的用药经验。[结果]对筛选出的200个处方进行分析,确定处方中药物的使用频次和药物之间的关联规则,前6位中药依次为山药、苍术、黄芪、玄参、生地黄、桑叶,常用药对为玄参配苍术、黄芪与山药等,并挖掘出32个核心组合和12首新处方,药物多出自王晖教授自拟"降浊合剂"和"宁心舒情汤"。[结论]王晖教授治疗糖尿病经验丰富,多用养阴清热、调畅气机之品,应用灵活,配伍严谨。数据挖掘法的应用对于挖掘名老中医临床经验具有重要的价值。

[Objective]To discuss the principle of prescriptions and herbs used by Professor WANG Hui in treating the diabetes.[Methods]To collect Professor WANG Hui＇s prescriptions of the treatment of diabetes. Finding the herb＇s usage frequency and association rule between the herbs in prescriptions based on the inheritance of traditional Chinese medicine auxiliary system software and using the unsupervised data mining methods such as Association rules apriori algorithm and complex system Entropy clustering, in order to analyse Professor WANG Hui＇s experience in treating diabetes.[Resuhs]To analyse 200 selected prescriptions in order to determine the herbs＂ usage frequency and association rule between the herbs in prescription,the top 6 are Chinese yam, Atractylodes, astragalus root, figwort, rehmannia root, mulberry leaf, common combinations are figwort and atractylodes, astragalus and yam,and so on, and we discover 32 core combinations and 12 new prescriptions, the drugs are mostly from Professor WANG Hui＇s self-made ＂Reducing turbid mixture＂ and ＂ Heart calming and relaxing feeling decoction ＂.[Conclusion]Professor WANG Hui has rich experience in the treatment of diabetes, he is good at using herbs which nourishing Yin and cleating away heat and regulating Qi activity.His principle of using herbs is quite flexible but precise. Data mining method can be used to analyze old TCM doctors＂ clinical experience.