Predicting adverse pregnancy outcome in Rwanda using machine learning techniques.
<h4>Background</h4>Adverse pregnancy outcomes pose significant risk to maternal and neonatal health, contributing to morbidity, mortality, and long-term developmental challenges. This study aimed to predict these outcomes in Rwanda using supervised machine learning algorithms.<h4>M...
| Published in: | PLoS ONE |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-01-01
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| Online Access: | https://doi.org/10.1371/journal.pone.0312447 |