Fetal Birth Weight Prediction in the Third Trimester: Retrospective Cohort Study and Development of an Ensemble Model
Abstract BackgroundAccurate third-trimester birth weight prediction is vital for reducing adverse outcomes, and machine learning (ML) offers superior precision over traditional ultrasound methods. ObjectiveThis study aims to develop an ML model on the basis of clin...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-03-01
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| Series: | JMIR Pediatrics and Parenting |
| Online Access: | https://pediatrics.jmir.org/2025/1/e59377 |
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