会议专题

Establishment and Evaluation of the Sub-Health Diagnosis Model Based on Decision Tree

The paper introduces the idea of data mining on the basis of analyzing sub-health status quo and existing defects. An influencing-factor-model of sub-health state has been established with the help of the Microsoft decision trees technology, after evaluation, its accuracy rate reaches up to 89.81%. This model serves an important reference for the sub-health diagnosis, prevention and treatment, thus it has a wide range of practical value and significance.

decision tree sub-health model

LI Xiang-sheng LI Yun HUANG Yu YUAN Zhan-hua

Computer Teaching Department Shanxi Medical University Taiyuan, China 07B16 class.International School Beijing University of Posts and Telecommunications Beijing, China

国际会议

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)

太原

英文

19-21

2010-10-22(万方平台首次上网日期,不代表论文的发表时间)