acePrediction of bronchopulmonary dysplasia seven days after birth using respiratory and oxygenation timeseries with machine learning
Accurate prediction of bronchopulmonary dysplasia (BPD) development would allow targeted early treatment. This study aims to develop a machine learning (ML) model incorporating respiratory and oxygenation timeseries to predict BPD development within 1 week after birth. Data was collected retrospectively from a neonatal intensive care (2009-2015). Readily available clinical data and respiratory and oxygenation timeseries (mode of respiratory support, FiO2, SpO2) were gathered. Descriptive features were extracted…
Machine learning models that incorporate compressed respiratory and oxygenation timeseries improved early prediction of BPD at 7 days after birth compared to clinical-data-only models.
Evidence
- Peer-reviewedPediatric Research2026-07-17
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Truvace Impact Record TRV-2026-0270, v1: “Prediction of bronchopulmonary dysplasia seven days after birth using respiratory and oxygenation timeseries with machine learning.” Truvace, 2026-07-19. /record/TRV-2026-0270 (accessed at citation time). sha256 23df7bee5618226d…
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