Sofiya Ayalew Kebede

Abstract The low uptake of postpartum family planning contributes to around 80 million unplanned pregnancies globally each year. Despite the postpartum period being crucial for preventing unintended pregnancies, modern contraceptive use remains low in Sub-Saharan Africa, with notable regional differences.

Abstract Diarrhea remains a leading cause of child mortality in Sub-Saharan Africa, necessitating advanced predictive tools for early intervention. Despite the growing adoption of machine learning in healthcare, gaps persist in deploying models as scalable, real-world solutions. This study developed an end-to-end machine learning framework to predict diarrhea among children under five in SSA, integrating rigorous model development with Flask-based deployment for practical use.