世界中医药Issue(6)：823-827,5.DOI:10.3969/j.issn.1673-7202.2015.06.004
文本挖掘探讨青风藤用药规律研究
Treatment Rules of Sinomenium Acutum by Text Mining
摘要
Abstract
Objective:The study summarized the treatment rules of Sinomenium acutum (Menispermaceae,SA)using text mining techniques.Methods:Firstly,we conducted text-mining by collecting related literatures about SA from Chinese Biomedical Litera-ture (CBM)Database.Then structured query language was used to do data processing as well as data stratification.Algorithm was used to analyze the basic laws of symptom,TCM pattern,TCM herb compatibility and drug combination.Results:Sinomenium Acutum was mainly used to treat diseases with symptoms such as ache,swelling,stiffness,malformation,etc.Wind,cold,wet-ness,heat,sputum,stasis and deficiency were the main etiology and pathology.Sinomenium Acutum was always used in combina-tion with herbs with the functions of dispelling wind and eliminating dampness,nourishing the blood and promoting blood circula-tion,dredging collaterals,warming meridians and nourishing kidney.Conclusion:By text mining we summarized the treatment rules of Sinomenium Acutum in a systematic,comprehensive and precise way,providing literature basis for future clinical applica-tion and drug research.关键词
文本挖掘/青风藤/中药/中成药/西药Key words
Text mining/Sinomenium Acutum/Herbs/TCMPatent medicine/Western medicine分类
医药卫生引用本文复制引用
李雨彦,郑光,刘良..文本挖掘探讨青风藤用药规律研究[J].世界中医药,2015,(6):823-827,5.基金项目
国家自然科学基金面上项目隶属度和互模拟数学方法在类风湿关节炎分类中的应用基础研究 （）
