摘要
目的:利用文本挖掘技术探索雷公藤用药规律。方法:在中国生物医学文献服务系统中收集雷公藤文献数据,挖掘雷公藤治疗的相关疾病及用药规律。结果:雷公藤治疗的相关疾病以肿瘤、肾病综合征、类风湿关节炎为主;配伍中药主要为黄芪、丹参、天冬、白芍、川芎等;联用西药主要以甲氨喋呤、免疫抑制剂、糖皮质激素为主。结论:文本挖掘能够比较客观的总结出雷公藤用药规律,为临床应用提供参考。
Objective： To Explore the treatment principle of Tripterygium wilfordii with text mining technique. Methods ： The data of Tripterygium wilfordii is downloaded from CBM database. The corresponding diseases and principle of treatment with other drugs are mined out by data slicing algorithm. The results are showed visually with Cytoscape 2. 8 software. Results： Tripterygium wilfordii is usually used in tumor, nephrotic syndrome and rheumatoid arthritis. Tripterygium wilfordii is usually combined with some Chinese medicines such as Huangqi, Danshen, Tiandong, Baishao and Chuanxiong. Meanwhile, it is usually combined with some Western drugs such as methotrexate, glucocortieoid, and immunosuppressant. Conclusions ： Text mining is an important method in exploring the treatment principle of Tripterygium wilfordii, which is helpful in clinical application of Tripterygium wilfordii.
出处
《中国中医基础医学杂志》
CAS
CSCD
北大核心
2013年第4期447-448,452,共3页
JOURNAL OF BASIC CHINESE MEDICINE
基金
国家自然科学基金杰出青年资助项目(30825047)
国家自然科学基金青年基金项目(30902003)
中国中医科学院自主选题项目(Z0218)
关键词
文本挖掘
雷公藤
用药规律
text mining
Tripterygium wilfordii
treatment principle
