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EP01.28: Prediction of delivery within seven days after diagnosis of early‐onset pre‐eclampsia using machine learning models.

Authors :
Villalaín, C.
Herraiz, I.
Domínguez, P.
Angulo, P.
Ayala, J.
Galindo, A.
Source :
Ultrasound in Obstetrics & Gynecology. Sep2022 Supplement S1, Vol. 60, p93-93. 1p.
Publication Year :
2022

Abstract

Results A total of 215 women with eoPE were evaluated and 47.9% required delivery within 7 days of diagnosis and 21.9% developed either HELLP syndrome or abruptio. EP01.28: Prediction of delivery within seven days after diagnosis of early-onset pre-eclampsia using machine learning models To develop a prediction model (model D) using machine learning tools for the need of delivery within 7 days of diagnosis of early-onset pre-eclampsia (eoPE) and one for the risk of developing HELLP syndrome/ I abruptio i (model HA). [Extracted from the article]

Details

Language :
English
ISSN :
09607692
Volume :
60
Database :
Academic Search Index
Journal :
Ultrasound in Obstetrics & Gynecology
Publication Type :
Academic Journal
Accession number :
159107226
Full Text :
https://doi.org/10.1002/uog.25238