Incremental value of biophysical and biochemical first trimester markers for predicting early and late preeclampsia: a nested model analysis
Aim : to compare the discriminative ability and calibration of nested-architecture machine learning (ML) models and the Fetal Medicine Foundation (FMF) algorithm for predicting early-onset (< 34 weeks) and late-onset (≥ 34 weeks) preeclampsia (PE) in the first trimester of pregnancy in Russian population. Mater...