Enhancing disease surveillance in Nigeria through machine learning: opportunities, challenges and strategic recommendations
This paper presents a methodological illustration of malaria surveillance in Northern Nigeria using synthetic data, benchmarking five ML models under temporal validation, and employing SHapley Additive exPlanations for robust model interpretability, and proposes a tiered strategic framework encompassing policy, infrast...