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Developing and Validating a Machine Learning Model to Predict Brain Injury in Preterm Infants Using Multisource Data from the Early Postnatal Period

2026-06-03

Abstract excerpt

<h4>Background: </h4> Moderate-to-severe preterm brain injury (PBI), including intraventricular hemorrhage (IVH) and periventricular leukomalacia (PVL), remains an important cause of adverse neurodevelopmental outcomes in preterm infants. Early risk stratifi-cation using routinely collected clinical data may help prioritize surveillance in vul-nerable infants. <h4>Methods:</h4> We retrospectively included 318 pret...

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Literature Corpus work
e0487c72-12b1-5ba0-9016-80a58ce28848
DOI
10.20944/preprints202606.0340.v1
Open publication

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Developing and Validating a Machine Learning Model to Predict Brain Injury in Preterm Infants Using Multisource Data from the Early Postnatal PeriodDOI 10.20944/preprints202606.0340.v1
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