摘要
中药"效-效"关系挖掘是中医药研究中最基本也是最重要的问题,对中药方效判断具有重要意义。利用数据挖掘技术,从中药方剂数据中自动挖掘"效-效"之间的关系,并归纳不同药效之间的关联程度。为此,提出了基于FP_growth方法的"效-效"关系挖掘算法。输出结果表明,提出的FP_growth方法具有较高的正确率,优良达60.3%。
The analysis of the ＂efficacy-efficacy＂ relation in the Traditional Chinese Medicine （TCM） is one of the most fundamental and important issues of great significance to the TCM prescription effect research. It is intended to use the data mining techno logy to automatically mine the association rules in the TCM prescription data and induce the incidence degree between different drug effects. For this reason an algorithm of mining ＂efficacy-efficacy＂ relation in the TCM based on FP_ growth method is proposed. The results show that the correct rate of the algorithm is comparatively high with ＂good＂ 60.3 %.
出处
《成都信息工程学院学报》
2007年第6期677-681,共5页
Journal of Chengdu University of Information Technology
