A Study On The Clinical Classification Model For The Hand Venule Of Baby Pneumonia Based On Decision Tree Algorithm

摘要：

The decision tree algorithm, an analytical and predictive model to describe datum under the influence of different variables, has been successfully put to use in diagnosing and treating certain diseases. To meet the requirements and characteristics of the clinical classification for the hand venule of baby pneumonia, this paper proposes a new classification model for the hand venule of baby pneumonia on the basis of the decision tree algorithm and the differentiation rules in traditional Chinese medicine. The experiments show that the algorithms classification accuracy rate is over 80％ for the clinical measured data and the model also has a good clinical practical value with efficient speed and robust characteristic.

关键词： classification model decision tree hand venule baby pneumonia

作者: Yue Lu Wei Benzheng Wang Xinjun

作者单位: School of Computer Science and Technology Shandong University Jinan,250014,China College of Science College of Science and Engineering Shangdong University of Traditional Chinese Medicine Jinan, 25035 School of Computer Science and Technology Shandong University Jinan,250014,China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 239-242

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）