应用Rosetta对中医喘证用药经验规律的挖掘研究  

Rosetta Application on Traditional Chinese Medicine Dyspnea Syndrome with Experience of Medication

作　　者：马会霞[1] 路振宇[2] 刘保相[1] 赵斗贵[2] 王国权[3] 于荣霞[1] 王巍[1] 包巨太[1] 

机构地区：[1]河北联合大学,河北唐山063000 [2]河北省邯郸市传染病医院,河北邯郸056002 [3]唐山职业技术学院,河北唐山063000

出　　处：《中国实验方剂学杂志》2012年第14期5-9,共5页Chinese Journal of Experimental Traditional Medical Formulae

基　　金：2009年河北省自然基金项目(F2009001276)

摘　　要：目的:在遵循中医以药测症、方证对应规律的基础上,应用粗糙概念格聚类技术和方法挖掘喘证用药经验中的基础数据,通过整理、分析和归纳药症之间的对应关系,总结喘证的用药规律。方法:利用Rosetta计算机软件对喘证用药经验进行数据挖掘和聚类解析。结果:得到喘证各个症状与用药之间的关联规则和用药规律。结论:利用粗糙概念格聚类技术和方法可以有效地挖掘出中医喘证临症经验中药味的用药规律,为中医临床用药经验规律的数据挖掘研究提供了一个新模式。Objective：In the traditional Chinese medicine（TCM） with the theory of drug intervention and formulas corresponding to syndromes,and on the basis of application rough concept lattice clustering technique and method for mining out the basic data of medication experience,the medication rules on dyspnea syndrome are summarized through the sorting,summarizing and analyzing the corresponding relationship between medicine syndrome.Method： Rosetta computer software is used for data mining and cluster analysis on the experience of medication.Result： The association and medication rules between all symptoms and various drugs are obtained.Conclusion： Rough concept lattice clustering technique and method can effectively dig out the rules of medication and clinical experience in treating with dyspnea syndrome by TCM,providing a new model for data mining study in the rules of medication and clinical experience by TCM.

关 键 词：喘证 用药经验 粗糙概念格 数据挖掘 聚类分析 

分 类 号：R287[医药卫生—中药学]