MIDO GDM: an innovative artificial intelligence-based prediction model for the development of gestational diabetes in Mexican women.

ABSTRACT: Given the barriers to early detection of gestational diabetes mellitus (GDM), this study aimed to develop an artificial intelligence (AI)-based prediction model for GDM in pregnant Mexican women. Data were retrieved from 1709 pregnant women who participated in the multicenter prospective cohort study 'Cuido mi embarazo'. A machine-learning-driven method was used to select the best predictive variables for GDM risk: age, family history of type 2 diabetes, previous diagnosis of hypertension, pregestational body mass index, gestational week, parity, birth weight of last child, and random capillary glucose. An artificial neural network approach was then used to build the model, which achieved a high level of accuracy (70.3%) and sensitivity (83.3%) for identifying women at high risk of develop

SUBMITTER: Gallardo-Rincon H 

PROVIDER: S-EPMC10144896 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature