基于数据挖掘的孟河名医马培之治疗痰饮用药规律研究

Analysis on principle of treatment of phlegm retention syndrome of Ma Peizhi based on apriori and clustering algorithm

该研究在收集孟河名家马培之治疗痰饮病案的基础上,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,分析孟河医家马培之治疗痰饮的用药经验,共挖掘出"橘红-枇杷叶-陈皮"等治疗痰饮的18个核心组合和"枳壳-橘红-枇杷叶-陈皮"等9首新处方。研究表明,孟河名医马培之治疗痰饮经验丰富,用药平和轻灵,多用温平缓补、利水渗湿之品。

Analyzed the prescriptions for phlegm retention syndrome that built by Ma Peizhi by the association rules and clustering algorithm, the frequency of drug usage and the relationship between drugs could be get. And from that we could conclude the experiences for phlegm retention syndrome of Ma Peizhi of menghe medical genre. The results of the analysis were that 18 core eombinations were dig out, such as Citri Exocarpium Rubrum-Eriobotryae Folium-Citri Reticulatae Pericarpium. And there were 9 new prescriptions were found out such as Aurantii Fructus-Citri Exocarpium Rubium-Eriobotryae Folium-Citri Reticulatae Pericarpium. The results of the analysis were proved that Ma Peizhi of Menghe Medical Genre was good at curing phlegm retention syndrome by using the traditional Chinese medicine of mild and light, such as the medicines of mild tonification, and clearing damp and promoting diuresis.