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
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)