Machine learning/AI for early neonatal complication detection in rural Ethiopia: A retrospective cohort study in the Sidama region.

Abstract

Neonatal complications remain prevalent, with pronounced rural-urban disparities. XGBoost offers accurate and interpretable early risk prediction using routine maternal and antenatal data. Targeted interventions including expanded prenatal care, anemia management, and strengthened rural health services could reduce neonatal morbidity and mortality.