Author

Andualem Enyew Gedefaw

2 papers indexed here

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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

Open access Sep 2026

Pneumonia and tuberculosis detection and classification using deep learning in resource limited settings, Ethiopia

The rising incidence of pneumonia and tuberculosis presents major public health challenges, particularly in resource-limited regions such as Ethiopia, where shortages of skilled radiologists hinder timely diagnosis. Although deep learning has shown promise in medical image analysis, robust multiclass classification of...

Addisu Baye Flatie, Zegeye Regasa Wordofa, Abraham Keffale Mengistu et al. · Discover Artificial Intellig... · 0 citations