欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
目的：优选辅助诊断糖尿病并发症方法.方法：分别采用决策树方法C5.1、CART、QUEST、CHAID,对糖尿病并发症临床数据进行分类研究.结果：经3 969例确诊病例验证,4种方法都能得到诊断规则和决策树,C5.1分类精确性为：85.714％,CART、QUEST、CHAID分类精确性为：66.667％.结论：4种方法分类结果符合专家诊断思维,C5.1效果最好.
英文摘要：
Objective：to explore the optimal method for aided diagnosis the Chronic diabetic complications.Method： classfication for the data of Chronic diabetic complications based on C5.1, CART, QUEST, CHAID.Result：the four methods can gain diagnosis rules and Decision Tree,and the classification accuracy is respectively 85.714%,66.667%,66.667%,66.667% after test for 3969 confirmed case. Conclusion：the four methods accord with experts diagnosis thinking, the best method is C5.1.
同期刊论文项目
同项目期刊论文
Research the prescription compatibility of the dachengqi decoction using partial leastsquares and mu
Explore Traditional Chinese Medicine Prescription Compatibility Based on Local Partial Least Squares
Research for TCM Prescription Compatibility Chemical Components Dose-Response Relationship Using MSC
Study the relationship between chemical components of complex prescription and bloodflow of the ileu
期刊信息
位置：