Machine learning framework predicts fetal birth weight using parental factors in low-resource settings.
Feature selection approaches for newborn birthweight prediction in multiple linear regression models,
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2025 2verdicts
UNVERDICTED 2representative citing papers
Machine learning pipeline with MICE imputation, tree-based feature selection, and ensemble models predicts birth weight, claiming improved performance on constrained clinical datasets.
citing papers explorer
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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.
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Predicting Fetal Birthweight from High Dimensional Data using Advanced Machine Learning
Machine learning pipeline with MICE imputation, tree-based feature selection, and ensemble models predicts birth weight, claiming improved performance on constrained clinical datasets.