Type 2 diabetes data processing with EM and C4.5 Algorithm

Juan Gao*, Sen Lin Luo, Hong Bo Jia, Tie Mei Zhang, Yi Wen Han

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

6 引用 (Scopus)

摘要

This research combines EM (Expectation maximization) Algorithm and C4.5 Algorithm together to build a type 2 diabetes data processing system. Taking the advantage of the nearly 14000 items of multi-source, multi-dimension practical dataset, and a series of data mining experiments are designed. With the large quantity of experiments and results analysis, some valuable pathological knowledge of type 2 diabetes was discovered, which includes, the decision tree is almost identical with the list of clinical diabetic risk factors, and the rate of correct recognition for healthy people was 80.9% while for diabetic patients was 92.05%; three new blood glucose threshold 5.85mmol/l, 5.26mmol/l and 4.28mmol/l, The valuable results are good to the cure and macro-control type 2 diabetes.

源语言英语
主期刊名2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007
371-377
页数7
DOI
出版状态已出版 - 2007
活动2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007 - Beijing, 中国
期限: 23 5月 200727 5月 2007

出版系列

姓名2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007

会议

会议2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007
国家/地区中国
Beijing
时期23/05/0727/05/07

指纹

探究 'Type 2 diabetes data processing with EM and C4.5 Algorithm' 的科研主题。它们共同构成独一无二的指纹。

引用此