Validation of sleep-based actigraphy machine learning models for prediction of preterm birth
Abstract Disruptive sleep is a well-established predictor of preterm birth. However, the exact relationship between sleep behavior and preterm birth outcomes remains unknown, in part because prior work has relied on self-reported sleep data. With the advent of smartwatches, it is possible to obtain...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
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| Series: | npj Women's Health |
| Online Access: | https://doi.org/10.1038/s44294-025-00082-y |
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