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