Machine‐learning‐based prediction of pre‐eclampsia using first‐trimester maternal characteristics and biomarkers
Machine‐learning‐based prediction of pre‐eclampsia using first‐trimester maternal characteristics and biomarkers
Z. Ansbacher-Feldman,A. Syngelaki,3 Authors,Y. Louzoun
2022 · DOI: 10.1002/uog.26105
Ultrasound in Obstetrics and Gynecology · 43 Citations
Abstract
To evaluate the accuracy of predicting the risk of developing pre‐eclampsia (PE) according to first‐trimester maternal demographic characteristics, medical history and biomarkers using artificial‐intelligence and machine‐learning methods.