Predicting risk of preterm birth in singleton pregnancies using machine learning algorithms
We aimed to develop, train, and validate machine learning models for predicting preterm birth (<37 weeks' gestation) in singleton pregnancies at different gestational intervals. Models were developed based on complete data from 22,603 singleton pregnancies from a prospective population-based...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Sprog: | English |
| Udgivet: |
Frontiers Media
2024
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