Machine Learning Models for the Prediction of Preterm Birth at Mid-Gestation Using Individual Characteristics and Biophysical Markers: A Cohort Study

Background/Objectives: Preterm birth (PTB), defined as birth before 37 completed weeks of gestation, is a major global health challenge and a leading cause of neonatal mortality. PTB is broadly classified into spontaneous and medically indicated (iatrogenic), which have distinct etiologies. While pr...

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Autors principals:	Antonios Siargkas, Ioannis Tsakiridis, Dimitra Kappou, Apostolos Mamopoulos, Ioannis Papastefanou, Themistoklis Dagklis
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-10-01
Col·lecció:	Children
Matèries:	iatrogenic preterm birth interpretable models machine learning prediction preterm birth risk stratification
Accés en línia:	https://www.mdpi.com/2227-9067/12/11/1451
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