Predicting the Development of Type 2 Diabetes in a Large Australian Cohort Using Machine-Learning Techniques: Longitudinal Survey Study.

Lei Zhang Xianwen Shang Subhashaan Sreedharan Xixi Yan Jianbin Liu Stuart Keel Jinrong Wu Wei Peng Mingguang He

Published in: JMIR medical informatics (2020)

A one-time self-reported survey can accurately predict the risk of diabetes using a machine-learning approach. Achieving a healthy BMI can significantly reduce the risk of developing T2DM.

Keyphrases

type diabetes
glycemic control
machine learning
cross sectional
cardiovascular disease
body mass index
insulin resistance
artificial intelligence
metabolic syndrome
deep learning
weight gain
weight loss