Abstract:

Non-communicable diseases (NCDs) are a significant public health challenge in the United Arab Emirates (UAE), with diabetes and cardiovascular diseases among the leading causes of illness and death. The country’s demographic structure is distinctive, characterised by a large expatriate population living alongside Emirati nationals. This diversity contributes to varied health determinants and risk patterns across population groups, highlighting the need for more precise and context-specific public health approaches. This study introduces a conceptual model called Culturally Aware Explainable AI (CAXAI) for Public Health, combining multi-source datasets, population stratified analytical modeling, and Explainable Artificial Intelligence (XAI) approaches such as SHAP, LIME, and counterfactual analysis. The framework generates interpretable, culturally grounded risk factor insights capable of informing public health interventions and evidence driven policy development consistent with UAE Vision 2030.