摘要
中药方剂即中药复方，是中国中医药实践经验和智慧的结晶，几千年来已积累中药方剂达十余万首，而如何利用这一巨大的方剂库，开发研制新的安全有效的方剂，是一亟待解决的问题.数据挖掘技术的出现及利用这一技术对中药方剂配伍规律进行发掘，既能大力推动中国中医信息化建设，又可快速发现隐含在方剂库中的重要的知识，也能为中医学走向世界提供强有力的技术支持，因此对中药方剂进行数据挖掘不仅是有必要的，更具有实际意义.
The traditional Chinese medicine （TCM） prescription, i.e. TCM compound, plays an important role in TCM science. China has accumulated over a hundred thousand TCM prescriptions. Accordingly,how to make use of this huge prescription database to develop new, safe and effective TCM prescriptions is a problem to be solved urgently. The emergence of data mining techniques and the application of this technology to exploring the law of compatibility of TCM prescriptions can promote the TCM informationalized construction,quicken the finding of important information hidden in the TCM prescriptions, and provide strong technical support for TCM to the outside world. So it is of necessity and more practical significance.
出处
《石家庄学院学报》
2011年第6期63-67,共5页
Journal of Shijiazhuang University
基金
安徽省教育厅科研资助（KJ20112259）
