ea0081ep917 | Reproductive and Developmental Endocrinology | ECE2022
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...