A new method to find the most suitable syndrome healed by commonly paired herbs based on association rule

摘要：

The purpose of this paper is to find the most suitable syndrome healed by commonly paired herbs in Chinese compound formula. A new method based on Chinese medicine literature and association rule technique is proposed, which solves the disadvantage of the minimum support degree in many studies. The results are validated by the theory of traditional Chinese medicine. The results illustrate that the new method is effective and suitable to be used generally.

关键词： data mining prescription compatibility association rule paired herbs

作者: Jun Gong Junlong Dong Jiafu Tang Lin Zhang Maoxin Liang

作者单位: College of Information Science and Engineering Northeastern University Shenyang, China,110004 Basic Medicine College Liaoning University of Chinese Medicine Shenyang, China, 110032

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 53-56

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）