Predicting intensive care need in women with preeclampsia using machine learning – a pilot study

ABSTRACTBackground Predicting severe preeclampsia with need for intensive care is challenging. To better predict high-risk pregnancies to prevent adverse outcomes such as eclampsia is still an unmet need worldwide. In this study we aimed to develop a prediction model for severe outcomes using routin...

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Bibliographic Details
Main Authors: Camilla Edvinsson, Ola Björnsson, Lena Erlandsson, Stefan R. Hansson
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Hypertension in Pregnancy
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/10641955.2024.2312165