名中医哮喘医案445例关联规则分析  

The Association Analysis in 445 Case of Famous Practitioner of Chinese Medicine about Asthma

作　　者：朱立成[1] 林色奇[1] 薛汉荣[1] 查青林[1] 张启明[2] 吕爱平[2] 

机构地区：[1]江西中医学院,南昌330006 [2]中国中医科学院临床基础医学研究所,北京100700

出　　处：《江西中医学院学报》2007年第5期83-87,共5页Journal of Jiangxi College of Traditional Chinese Medicine

基　　金：国家重点研究发展计划(2003CB517101);国家十一五支撑计划项目(2006BAI08B02-02)

摘　　要：目的:探索关联规则在中医医案分析中的作用及哮喘中医诊疗的规律。方法:采用关联规则分析名中医哮喘医案的病因、病位、证候与四诊信息的关联关系,病因、病位、证候、四诊信息与用药的关联关系,以及中药之间的关联关系。数据分析在SAS 9.1.3的Enterprise Miner平台上进行。结果:哮喘医案中病因、病位、证候对应的四诊信息分布规律不明显,但四诊信息的组合与病因、病位和证候有对应关系;四诊信息的组合与相应药物组合有对应规律;药物组合与病因、病位、证候对应,但相同病因、病位和证候可以使用多种药物。结论:中医医案中的用药、四诊信息、病因、病位、证候之间存在一定关联性,可通过关联规则分析获取其中规律。Objective ：To probe the regularity of the Traditional Chinese Medical Diagnosis about asthma and the analytical method of association in case of TCM. Method： Make use of the analytical method of association in case of famous practitioner of Chinese medicine about asthma to analyse the incidence relation between pathogeny, location of disease, syndrome with four kinds of imformation from TCM, the relationship between pathogeny, location of disease, syndrome, four kinds of imformation from TCM and the use of TCM, the relationship between the TCM. All the method are carrying out on SAS9.1.3. Result：The distribution laws of four kinds of imformation from TCM correspond with pathogeny, location of disease, syndrome is not obviously, but there are corresponding regulation between pathogeny, location of disease, syndrome and four kinds of imformatic combination from TCM, between four kinds of imformatic combination from TCM and the combination of corresponding drugs, between the combination of corresponding drugs and pathogeny, location of disease, syndrome. Nevertherless, many drugs can be chose with the same pathogeny, location of disease, syndrome. Conclusions：There are inherent relevance between the use of drugs, pathogeny, location of disease, syndrome , we can use the analytical method of association to catch the laws in the case.

关 键 词：哮喘 医案 名中医 关联规则 数据挖掘 

分 类 号：R256.12[医药卫生—中医内科学]