基于文本挖掘技术的肥胖和高脂血症处方规律研究

Medicinal Principle Exploration of Treating Obesity and Hyperlipidemia with Chinese Herbal Medicine Based on Text-mining Approach

目的:利用数据挖掘技术探索肥胖和高脂血症的中药用药规律。方法:在中国生物医学文献数据库中收集中医药治疗"肥胖"和"高脂血症"的文献,建立Access数据库,运用SQL对数据进行处理,Cytoscape 2.7软件对数据分析结果进行可视化,分析中医药治疗肥胖和高脂血症的用药规律。结果:治疗肥胖的常用药物为丹参、山楂、泽泻、黄芪、大黄、茯苓、白术、半夏;其治疗的核心药物是黄芪、白术、大黄。治疗高脂血症的最常用药物为丹参、山楂、泽泻、黄芪、大黄、何首乌;其治疗的核心药物是丹参和山楂。结论:中医治疗肥胖和高脂血症的处方虽有相同之处,但是其治疗的核心却大不相同。文本挖掘分析技术在中医临床用药规律研究中具有良好的应用前景。

Objective：To explore the medication principle of treating obesity and hyperlipidemia with Chinese herbal medicine by a novel text mining approach.Method： We proposed a data mining algorithm to retrieve simple and meaningful networks from large data sets of obesity and hyperlipidemia.We transfered XML type data sets to the structured database of Microsoft  SQL  2 000 and visualized them into different graphs bysoftware Cytoscape version 2.7 in order to detect the potential medication principles.Result：The most common used Chinese herbal medicine applied for treating obesity commonly proved to be Radix Salviae Miltiorrhizae,Fructus Crataegi Pinnatifidae,Rhizoma Alismatis,Radix Astragali Mongolici,Radix et Rhizoma Rhei Palmati,poria,Rhizoma Atractylodis Macrocephalae,Rhizoma Pinelliae;the core couplet medicine is Radix Astragali Mongolici,Rhizoma Atractylodis Macrocephalae,Radix et Rhizoma Rhei Palmati;the most common used herbal medicines applied for treating hyperlipidemia are Radix Salviae Miltiorrhizae,Fructus Crataegi Pinnatifidae,Rhizoma Alismatis,Radix Astragali Mongolici,Radix et Rhizoma Rhei Palmati,Radix Polygoni Multiflori;the core couplet medicine is Radix Salviae Miltiorrhizae and Fructus Crataegi Pinnatifidae.Conclusion： although the primary prescriptions for treating obesity and hyperlipidemia share some common herbs,the cores of the two formulae are significantly distintive,which indicates that the pathogenesis of the two diseases are different according to the theory in Chinese medicine.The novel text mining technology could be a promising approach in the medication principle detecting research of Chinese medicine.