Validating a machine-learning model for first-trimester prediction of pre-eclampsia using the cohort from the PREVAL study.
María Del Mar GilD Cuenca-GómezV RolleM PertegalC DíazR RevelloB AdiegoM MendozaF S MolinaB SantacruzZ Ansbacher-FeldmanH MeiriR Martin-AlonsoY LouzounC de Paco MatallanaPublished in: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology (2023)
A machine learning model for first-trimester prediction of PE based on a neural network provides effective screening for PE that can be applied in different populations but before doing so it is essential to make adjustments for the analyzers used for biochemical testing. This article is protected by copyright. All rights reserved.