Review
Open access
Aug 2026
Explainable machine learning for predicting childhood anemia in Sub-Saharan Africa using population-based DHS Data (2016–2024)
Childhood anemia remains a major public health challenge in Sub-Saharan Africa, adversely affecting physical growth, cognitive development, and child survival. The pooled prevalence across 26 countries exceeds 60%, underscoring the need for accurate and scalable prediction tools to support targeted interventions.This s...
Andualem Enyew Gedefaw, Amanuel Worku, Abraham Keffale Mengistu et al.
· PLOS Global Public Health · 0 citations