Predicting Fetal Birthweight from High Dimensional Data using Advanced Machine Learning

ArXi:2502.14270v3 Announce Type: replace Birth weight serves as a fundamental indicator of neonatal health, closely linked to both early medical interventions and long-term developmental risks. Traditional predictive models, often constrained by limited feature selection and incomplete datasets, struggle to achieve overlooking complex maternal and fetal interactions in diverse clinical settings.