摘要
目的:对龙胆泻肝汤类方的病症与病机、药物与病症、药物与病机、药物与药物之间的关系进行关联分析。方法:以SQL Server 2005为数据处理和挖掘平台,采用关联分析模型和最强依赖关系网络图对龙胆泻肝汤类方进行挖掘与分析。结果:发现与推导病因、病位有关联意义的症状有9组。发现与推导病因、病位有关联意义的药物有5组。发现与"中医病"有关联意义的药物有9组。发现与症状有关联意义的药物有7组。发现有关联意义的药物12组。结论:关联分析方法在一定程度上有助于揭示龙胆泻肝汤类方证群的辨证规律、用药规律和配伍规律。
Objective: Analysis the association rules of Rongdang Xiegang Decoction associated Prescriptions between symptoms and pathogenesis, herbs and symptoms, herbs and herbs. Methods:With SQL Server 2005 as the data handling and mining studio, using association analysis model and the greatest Dependency Net to analysis Rongdang Xiegang Decoction. Resu/ts:9 groups of symptoms associated with inferenced cause of disease and location of disease. 5 groups of herbs associated with inferenced cause of disease and location of disease. 9 groups of hrebs associated with diseases in TCM point of view. 7 groups of herbs associated with symptoms. 12 groups of herbs associated with other herbs. Conclusion:Analyzing the association rules of Rongdang Xiegang Decoction associated Prescriptions reveals the syndrom differentiation rules, herbs utilizing rules and formulae combination rules in a certain degree.
出处
《辽宁中医杂志》
CAS
北大核心
2009年第6期877-879,共3页
Liaoning Journal of Traditional Chinese Medicine
基金
上海市卫生局中医药科研基金课题(2004Q012J)
上海市科委基金资助项目(D236)
上海市教委基金资助项目(2005G文-1)
上海市科委专项建设资助项目(06DZ22909)
上海市重点学科建设资助项目(T0305)
关键词
数据挖掘
关联分析
类方
龙胆泻肝汤
Data mining
Association analysis
Associated Prescriptions
Longdan Xiegan Tang