Claudio A. Perez

Early prediction of gestational diabetes mellitus using deep learning applied to routinely collected clinical data

Background Prediction of gestational diabetes mellitus (GDM) in early pregnancy enables timely, targeted interventions to reduce risks for both the mother and fetus. We aimed to improve early GDM prediction and clinical risk stratification using a novel deep learning (DL) approach that transforms tabular clinical data...