Predicting Risk for Patent Ductus Arteriosus in the Neonate: A Machine Learning Analysis

Predicting Risk for Patent Ductus Arteriosus in the Neonate: A Machine Learning Analysis

<i>Background and Objectives</i>: Patent ductus arteriosus (PDA) is common in newborns, being associated with high morbidity and mortality. While maternal and neonatal conditions are known contributors, few studies use advanced machine learning (ML) as predictive factors. This study asse...

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Main Authors: Ana Maria Cristina Jura, Daniela Eugenia Popescu, Cosmin Cîtu, Marius Biriș, Corina Pienar, Corina Paul, Oana Maria Petrescu, Andreea Teodora Constantin, Alexandru Dinulescu, Ioana Roșca
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Medicina
Subjects:
patent ductus arteriosus
neonatal risk
machine learning
maternal pathology
neonatal outcomes
Online Access:https://www.mdpi.com/1648-9144/61/4/603
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