Predicting health insurance coverage among women in Sierra Leone using machine learning and explainable artificial intelligence applied to demographic and health survey data
Ensemble machine learning models, particularly Gradient Boosting and XGBoost, demonstrate strong predictive utility for identifying uninsured women in low-coverage, resource-limited settings, and bridges the gap between algorithmic performance and actionable policy insight.
Augustus Osborne, A. Soladoye, Kobloobase O. Usani et al.
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