Type 2 Diabetes Data Processing with EM and C4.5 Algorithm
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.
type 2 diabetes critical value EM Algorithm C4.5 Algorithm
GAO Juan LUO Sen-lin JIA Hong-bo ZHANG Tie-mei HAN Yi-wen
Department of electronic engineering, Beijing Institute of Technology, Beijing 100081, China Beijing Institute of Geriatrics, Ministry of Health Beijing 100730, China
国际会议
北京
英文
378-384
2007-05-23（万方平台首次上网日期，不代表论文的发表时间）