Predicting intensive care need in women with preeclampsia using machine learning – a pilot study
Background 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 routine biomar...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | Hypertension in Pregnancy |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10641955.2024.2312165 |
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