The potential of repeated mean arterial pressure measurements for predicting early- and late-onset pre-eclampsia in twin pregnancies: Prediction model study.

Yunjiang He Jinliang XieYuna GuoJue MaXiaojin WangYao LvSiqi WuSiying WeiXianjing XieBing-Shun Wang

Published in: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics (2024)

Repeated measurements of MAP during pregnancy significantly improved the accuracy of late-onset pre-eclampsia prediction in twin pregnancies. The integration of longitudinal data into pre-eclampsia screening may be an effective and valuable strategy.

Keyphrases

late onset
early onset
preterm birth
gestational age
big data
cross sectional
human health
climate change
risk assessment
deep learning