Machine learning framework predicts fetal birth weight using parental factors in low-resource settings.
Competing-risks model for prediction of small-for-gestational-age neonate from estimated fetal weight at 19–24 weeks’ gestation,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.OT 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Parental Imprints On Birth Weight: A Data-Driven Model For Neonatal Prediction In Low Resource Prenatal Care
Machine learning framework predicts fetal birth weight using parental factors in low-resource settings.