基于证候要素定向文本挖掘类风湿性关节炎中药配伍规律  

Exploring combing rules of Chinese herbal medicines on rheumatoid arthritis based on syndrome element-directed text mining

作　　者：王敏智[1,2] 郭洪涛[2,3] 郑光[2,4] 姜淼[2] 吕诚[2] 王兴[1] 杨帆[5] 吕爱平[2] 

机构地区：[1]西南交通大学生命科学与工程学院,成都610031 [2]中国中医科学院中医临床基础医学研究所,北京100700 [3]上海中医药大学,上海201203 [4]兰州大学信息学院,兰州730000 [5]九江职业大学护理学院,江西九江332000

出　　处：《中国中医基础医学杂志》2012年第2期207-209,共3页JOURNAL OF BASIC CHINESE MEDICINE

基　　金："重大新药创制"科技重大专项(2009ZX09502-019);国家自然科学基金资助项目(30825047;30902000;81072982;81001676)

摘　　要：目的:以类风湿性关节炎证候要素为关键词,定向文本挖掘中药配伍规律。方法:在数据库中收集治疗类风湿性关节炎文献数据,格式化后,以"寒"、"热"、"虚"、"瘀"为挖掘词挖掘,结合人工降噪,分析配伍规律。结果:寒证、热证用药对比鲜明,虚证、瘀证用药相似,各证型均涉及桂枝芍药知母汤。结论:以证候定向文本挖掘方法,可总结中药配伍规律,为临床提供参考。Objective： Based on the keywords of patterns in traditional Chinese medicine on rheumatoid arthritis, we applied the syndrome element directed mining algorithm and got the rules of Chinese herbal medicines according to these patterns. Method： The original data set on term ＂rheumatoid arthritis＂ was downloaded from SinoMed. Then, the data set was formatted. Based on the keywords of cold, heat, deficiency, and stasis, together with noises taken away manually, we mined the rules of Chinese herbal medicines. Results： Rules of Chinese herbal medicines have significant differences between hot and cold pattern, patterns of deficiency and stasis are similar, another interesting fact is that decoction of guizhi-shaoyao-zhimu is associated with all the syndromes in our mining process. Conclusion： Our approach of pattern- directed text mining can get the rules of Chinese herbal medicines. What＇ s more, the mining results can be taken as references in clinical practices.

关 键 词：类风湿性关节炎 证候要素 文本挖掘 中药配伍 

分 类 号：R593.22[医药卫生—内科学]