从中国生物医学文献数据库(CBM)中检索治疗甲型H1N1流感的文献数据,针对半格式化的原始数据,进行格式化转换,存储于大型关系型数据库;针对格式化的数据,采用基于敏感关键词频数统计的离散导数算法,对文献数据进行挖掘处理;针对文本挖掘的结果,结合原文献人工回溯可疑结果,得到以下结论:(1)在治疗甲型H1N1流感的过程中,中药以清热解毒为主;(2)中成药以连花清瘟胶囊、痰热清注射液、清开灵制剂、双黄连制剂为主;(3)以药测证,可推断甲型H1N1流感的发病特点是毒、火(热)、湿(痰);(4)中成药的使用以西医医生为主,但存在辩证使用问题;(5)针对文本挖掘的可疑结果,回溯原文献是一种不可替代的方法。

as "H1N1".Then； the downloaded； semi-structured data set was converted into fully structured data and stored in the database.Based on the discrete derivative algorithm； the data set was mined for therapeutic characteristics in traditional Chinese medicine(TCM).The data mining process revealed results as follows.(1) In TCM clinical practice on influenza A virus subtype H1N1； the therapy is focused on dispelling heat and resolving toxicity.(2) The widely used TCM patent medicines are Lian-Hua-Qing-Wen Capsule； Tan-Re-Qing Injection； Qing-Kai-Ling Injection； and Shuang-Huang-Lian Injection.(3) Using TCM patent medicine； the syndrome differentiation of influenza A virus subtype H1N1 can be determined into patterns of toxicity； fire(heat)； and dampness(phlegm).(4) TCM patent medicines are mainly prescribed by western medicine doctors.However； TCM syndrome differentiation is still an existing problem in the medical practice of modern medicine doctors.(5) In data mining； validating suspicious results by reviewing them in the original literature is an irreplaceable method.

国家中医药管理局2009年行业专项(200907001-4):中医药防治甲型H1N1流感、手足口病及流行性乙型脑炎的诊疗规律与机制研究,负责人:潘桂娟,吕爱平;国家自然科学基金青年基金项目(30902003):基于生物网络构建技术的中药寒热药性科学基础,负责人:姜淼,国家自然科学基金杰出青年项目(30825047):中西医结合基础——疾病证候分类研究,负责人:吕爱平;科学技术部国家创新方法学专项项目(2008IM020900):中医药科学方法研究——中医药科学方法总论研究,负责人:吕爱平