Characteristic Pattern Study of Coronary Heart Disease with Blood Stasis Syndrome Based on Decision Tree

摘要：

Coronary heart disease (CHD) remains the single leading cause of death of adults worldwide, but the traditional related factors can not explain the whole situations. Unstable angina (UA) is a type of CHD. The aim of this study was to establish clinical diagnose pattern for UA with blood stasis syndrome. Twenty-two biological parameters were detected on seven hundreds and seventy-six unstable angina with or without blood stasis syndrome patients. Using decision tree, we gain a pattern made by four biological parameters which could distinguish unstable angina with blood stasis syndrome patients from the none-blood stasis syndrome patients. The diagnosis accuracy could reach 82%. The obtained patterns are validated by 3-fold cross validation. Though the diagnosis accuracy is not very high, the pattern may be useful in the syndrome clinical diagnosis in the future.

作者: Huihui Zhao Qing Yao Wei Wang Shuwen Guo Jianxin Chen Qi Shi Juan Wang Chenglong Zheng Peng Tan Lingyan Zhao Chan Chen

作者单位: Beijing University of Chinese Medicine,Beijing, 100029, China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-3

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）