Differential effect of interventions in patients with prediabetes stratified by a machine learning-based diabetes progression prediction model.

Xiantong ZouYingying LuoQi HuangZhanxing ZhuYufeng LiXiuying ZhangXianghai ZhouXiantong Zou

Published in: Diabetes, obesity & metabolism (2023)

This study suggests personalized treatment for prediabetes according to their PR is necessary. ML-PR model with simple clinical variables may facilitate personal treatment strategies in participants with prediabetes.

Keyphrases

machine learning
type diabetes
cardiovascular disease
physical activity
artificial intelligence
glycemic control
deep learning
metabolic syndrome
big data
combination therapy
adipose tissue