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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Book |
| Published: |
Taylor & Francis Group,
2024-12-01T00:00:00Z.
|
| Subjects: | |
| Online Access: | Connect to this object online. |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|