Eva Segelov

Long-term type 2 diabetes risk prediction using machine learning with childhood, adolescent, and genetic factors

Abstract Late diagnosis of type 2 diabetes increases patient morbidity and healthcare burden, yet current prediction models use adult risk factors to estimate 5–10-year risk. In this manuscript, we evaluate long-term prediction of type 2 diabetes over 38 years using childhood fac...