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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Main Authors: Camilla Edvinsson (Author), Ola Björnsson (Author), Lena Erlandsson (Author), Stefan R. Hansson (Author)
Format: Book
Published: Taylor & Francis Group, 2024-12-01T00:00:00Z.
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3rd Floor Main Library

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Call Number: A1234.567
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