Makda Fekadie Tewelgne

Explainable machine learning for predicting preterm birth and associated factors in Sub Saharan Africa

Preterm birth remains a leading contributor to neonatal mortality and long-term morbidity worldwide, with Sub-Saharan Africa bearing a disproportionate share of the burden. Structural inequities, limited maternal healthcare access, and socioeconomic vulnerabilities are associated with higher model-predicted probability...