Accurate forecasting of the future burden of diabetes requires addressing the complex temporal dependencies in time-series data. These dependencies emerge from interactions among factors such as prevalence, mortality rates, and…
Enhancing AI-driven forecasting of diabetes burden: a comparative analysis of deep learning and statistical models
