Machine Learning For Tuning, Selection, And Ensemble Of Multiple Risk Scores For Predicting Type 2 Diabetes.

Yujia LiuShangyuan YeXianchao XiaoChenglin SunGang WangGuixia WangBo Zhang

Published in: Risk management and healthcare policy (2019)

Our proposed machine learning methods can be used to improve the accuracy of screening the undiagnosed type 2 diabetes and identifying the high-risk patients.

Keyphrases

type diabetes
machine learning
end stage renal disease
chronic kidney disease
newly diagnosed
ejection fraction
glycemic control
cardiovascular disease
artificial intelligence
big data
insulin resistance
adipose tissue
metabolic syndrome
deep learning
weight loss
convolutional neural network