AINeutralarXiv – CS AI · 7h ago5/10
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Hybrid Probabilistic Forecasting of Under-Five Malaria Admissions in Ghana: A Gaussian Process Regression with Holt-Winters Smoothing
Researchers in Ghana developed a hybrid machine learning framework combining Gaussian Process Regression with Holt-Winters exponential smoothing to forecast under-five malaria admissions with high accuracy (R² = 0.9906). The model projects 8,000-12,200 monthly cases through 2028 and provides probabilistic uncertainty estimates, supporting evidence-based malaria control planning in sub-Saharan Africa.