Comparative study on risk prediction model of type 2 diabetes based on machine learning theory: a cross-sectional study.

Shu WangRong ChenShuang WangDanli KongRudai CaoChunwen LinLing LuoJialu HuangQiaoli ZhangHaibing YuYuan Lin Ding

Published in: BMJ open (2023)

In this study, six types of risk prediction models for T2DM were constructed, and the predictive effects of these models were compared based on various indicators. The results showed that back propagation neural network based on the selected data set had the best prediction effect.

Keyphrases

neural network
type diabetes
machine learning
big data
glycemic control
wastewater treatment
cardiovascular disease
electronic health record
artificial intelligence
insulin resistance
risk factors
adipose tissue
deep learning
skeletal muscle