Classification Association Rules Mining for Zhongjing Prescriptions

摘要：

Zhong jing prescriptions have experienced approximately two thousand years of Clinical verification. The prescriptions are commended by the later generation as classical prescriptions because of strict compatibility and remarkable treatment result.So Zhongjing prescriptions are selected as data set in this paper. A classification association rules mining algorithm based on information gain feature selection CARM-IG is achieved, which is used to mine compatibility principles of Zhang Zhongiing for the treatment of cold zheng, heat zheng, deficiency zheng and excess zheng etc. Experiments show that the run time and memory cost of algorithm is reduced, at the same time, the concision and precision of classification compatibility principles is guaranteed because of the deletion of irrelevant Chinese medicines with classification.

作者: Yang Xuemei Lin Duanyi Zhou Changen Lai Xinmei

作者单位: Information Management Institute,Academy of Integrative Medicine,Fujian College of Traditional Chine Information Management Institute,Academy of Integrative Medicine,Fujian College of Traditional Chine

会议类型: 国际会议

会议名称: 2008 IEEE International Symposium on IT in Medicine and Education(2008信息技术在医学和教育中的应用国际研讨会)(ITME 2008)

会议地点: 厦门

会议语种:英文

页码: 768-772

在线出版日期: 2008-12-12（万方平台首次上网日期，不代表论文的发表时间）