क्यूआर कोड

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...

पूर्ण विवरण

में बचाया:
मुख्य लेखकों: Antonios Siargkas, Ioannis Tsakiridis, Dimitra Kappou, Apostolos Mamopoulos, Ioannis Papastefanou, Themistoklis Dagklis
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: MDPI AG 2025-10-01
श्रृंखला:Children
विषय:
iatrogenic preterm birth
interpretable models
machine learning
prediction
preterm birth
risk stratification
ऑनलाइन पहुंच:https://www.mdpi.com/2227-9067/12/11/1451
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