基于数据挖掘的中医治疗阳痿用药规律分析  被引量:11

Analysis on Medication Rules of Traditional Chinese Medicine for Treating Impotence Based on Data Mining

在线阅读下载全文

作  者:张硕[1,2] 吴嘉瑞[1] 张晓朦[1] 张丹[1] 纪凯 

机构地区:[1]北京中医药大学,北京100102 [2]北京市回民医院,北京100054 [3]北京灸道堂中医研究院,北京100024

出  处:《中国实验方剂学杂志》2015年第22期209-213,共5页Chinese Journal of Experimental Traditional Medical Formulae

基  金:国家自然科学基金项目(81473547);北京市中医药科技发展基金项目(JJ-2010-70);北京中医药大学与北京灸道堂中医研究院合作项目(BUCM-JDT2014001);北京市与中央在京高校共建项目(BJGJ1420)

摘  要:目的:探讨中医治疗阳痿病的用药规律。方法:收集古籍以及全国名老中医药专家治疗阳痿病处方,基于中医传承辅助系统软件构建数据库,采用关联规则Apriori算法和复杂系统熵聚类方法,确定处方中各药物和药物组合的使用频数及药物之间的关联规则等。结果:高频药物包括菟丝子、熟地黄、当归、枸杞子、淫羊藿等;高频药物组合包括"枸杞子、菟丝子","肉苁蓉、菟丝子","枸杞子、淫羊藿"等;置信度为0.6以上的关联规则包括"茯苓->菟丝子","熟地黄->枸杞子","柴胡->当归"等。结论:中医治疗阳痿多用温补肾阳、益气养血之品。Objective: To investigate the medication rules of traditional Chinese Medicine( TCM) for treating impotence. Method: The prescriptions for treating impotence that from TCM classics and famous TCM doctors were collected to build a database based on TCM inheritance assist system. Association rules algorithm and entropy clustering methods were used to mine the frequency of single drug and drug combinations,the association rules between drugs,and so on. Result: Based on the analysis of prescriptions for treating diabetes,the highest frequency of single drugs were Cuscutae Semen,Rehmanniae Radix Praeparata,Angelicae Sinensis Radix,Lycii Fructus,and Epimedii Folium. The most frequency drug combinations were ‘Lycii Fructus,Cuscutae Semen',‘Cistanchis Herba,Cuscutae Semen',‘Lycii Fructus,Epimedii Folium'and so on. When confidence was over0. 85,the drug combinations of association rules were ‘Poria- 〉Cuscuta Semen', ‘Rehmanniae Radix Praeparata- 〉Lycii Fructus',‘Bupleuri Radix- 〉Angelicae Sinensis Radix',and so on. Conclusion: In TCM,the drugs used for treating impotence were often with the actions of warming and invigorating kidney Yang,and nourishing Qi and blood.

关 键 词:阳痿病 名老中医 关联规则 聚类算法 

分 类 号:R287[医药卫生—中药学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象