Comparison of different methods of screening for preterm pre-eclampsia: cohort study.

D Cuenca-GómezC De Paco MatallanaV RolleM MendozaN ValiñoR RevelloB AdiegoM C CasanovaF S MolinaJ L DelgadoA WrightF FiguerasK H NicolaidesB SantacruzMaría Del Mar Gil

Published in: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology (2024)

The best performance of screening for preterm-PE is achieved by mathematical models that combine maternal factors with MAP, UtA-PI and PlGF, as compared to risk-scoring systems like NICE or ACOG criteria. While all three algorithms show similar results in terms of overall prediction, the FMF model showed the best performance at the individual level. This article is protected by copyright. All rights reserved.

Keyphrases

low birth weight
preterm birth
gestational age
machine learning
birth weight
deep learning
preterm infants
weight gain