基于文献的“病-药”关联关系分析  

Analysis of relationship between disease and Chinese medicine based on literature

作　　者：李园白[1] 杨阳[1] 朱晓博[1] 张晶[1] 连超杰[1] 李萌[1] 奚怀平[1] 马洪明[2] 祖娜[2] 

机构地区：[1]中国中医科学院中医药信息研究所,北京100700 [2]北京中医药大学,北京100029

出　　处：《中华中医药杂志》2014年第1期253-255,共3页China Journal of Traditional Chinese Medicine and Pharmacy

基　　金：中国中医科学院自主选题研究项目(No.ZZ060301);中医药行业科研专项(No.201207001-21)~~

摘　　要：目的:从信息学宏观角度探索病药之间关系,探索临床研究文献中疾病和中药数据之间的关系。方法:涉及2004年中医临床文献11 050篇,针对文献中的中医疾病名称、西医病名、中药名称3方面信息,利用数据挖掘中的关联分析方法探索病药关系。结果:获得最为密切的"病-药"关系,其中获得高频中医病名与中药组合12对、西医病名与中药组合13对。结论:部分脾胃疾病处方中有中药集中使用的现象,部分更值得被优先研究的治疗脾胃病的中药被筛选出来。Objective： The relationship between disease and Traditional Chinese herb is analyzed from a macro point of view of informatics. The relationship between disease data and medicine data in clinical research literature is analyzed. Methods： 11 050 TCM clinical articles in 2004 are included. The information of Chinese disease names, modern disease names, traditional Chinese herbs is collected. Relationship analysis of data mining is used to explore the relationship between disease and medicine. Results： The most close relationship of disease and traditional Chinese herbs of high frequency is gained, of which to obtain high frequency of TCM disease combined with traditional Chinese medicine for 12, and western medicine of disease combined with traditional Chinese medicine for 13. Conclusion： Partial traditional Chinese medicine prescriptions for spleen stomach disease are focused on some medicines. Some traditional Chinese herbs which are more worthy to be studied are filtered.

关 键 词：中药 关联分析 数据挖掘 疾病 

分 类 号：R256.3[医药卫生—中医内科学]