Searchable abstracts of presentations at key conferences in endocrinology

ea0081ep917 | Reproductive and Developmental Endocrinology | ECE2022

Machine learning-based model for gestational diabetes mellitus prediction in the first trimester of pregnancy

Popova Polina , Tkachuk Aleksandra , Klyushina Alexandra , Vasilyeva Lyudmila , Vasukova Elena , Anopova Anna , Pustozerov Evgenii , Teplova Yana , Grineva Elena

Background and aim: Gestational Diabetes Mellitus (GDM) is often diagnosed at 24-28 weeks of pregnancy when the fetal phenotype is already altered. We aimed to develop a machine learning model based on clinical variables, lifestyle features and genetic markers for GDM prediction in the first trimester of pregnancy based on the 2013 World Health Organization (WHO) criteria.Methods: Using multivariable logistic regression analysis, different models to pred...