Article

SHAP-interpretable machine learning model for early prediction of periventricular leukomalacia in preterm infants younger than 32 weeks: a multicenter validation study

2026-06-28

Abstract excerpt

<title>Abstract</title> <p>Background Periventricular leukomalacia (PVL) is a severely detrimental form of white matter injury in preterm infants, frequently leading to long-term neurological developmental deficits.This study aimed to develop a reliable machine learning(ML) model for predicting PVL early, facilitating targeted interventions. Methods This multicenter cohort study included 10,114 preterm infants...

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Literature Corpus work: 75b4efab-a1b7-57cd-aba1-330741fa0ad2
DOI: 10.21203/rs.3.rs-9831295/v1

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