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- Title
OP09.05: Prediction of pre‐eclampsia using machine learning.
- Authors
Khalil, A.; Dar, P.; Bellesia, G.; Jacobsson, B.; Haeri, S.; Egbert, M.; Malone, F.D.; Wapner, R.J.; Roman, A.; Faro, R.; Madankumar, R.; Edwards, L.; Strong, N.; Silver, R.; Vohra, N.; Hyett, J.; Martin, K.; MacPherson, C.; Thilaganathan, B.; Prigmore, B.
- Abstract
SMART participants were excluded from this analysis if pregnancy outcome was unknown, fetal aneuploidy or major anomaly was identified, or the pregnancy was interrupted. OP09.05: Prediction of pre-eclampsia using machine learning The main aim was to develop a method to predict pre-eclampsia using novel machine learning tools.
- Publication
Ultrasound in Obstetrics & Gynecology, 2022, Vol 60, p78
- ISSN
0960-7692
- Publication type
Article
- DOI
10.1002/uog.25196