Differential effect of interventions in patients with prediabetes stratified by a machine learning‐based diabetes progression prediction model
Xiantong Zou,
Yingying Luo,
Qi Huang
et al.
Abstract:AimTo investigate whether stratifying participants with prediabetes according to their diabetes progression risks (PR) could affect their responses to interventions.MethodsWe developed a machine learning‐based model to predict the 1‐year diabetes PR (ML‐PR) with the least predictors. The model was developed and internally validated in participants with prediabetes in the Pinggu Study (a prospective population‐based survey in suburban Beijing; n = 622). Patients from the Beijing Prediabetes Reversion Program co… Show more
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