An influenza forecasting model based on RG-EEMD-TFT
Objective: To improve the accuracy of influenza forecasting, this study proposes a Reconstruction Grouping–Ensemble Empirical Mode Decomposition–Temporal Fusion Transformer (RG-EEMD-TFT) model designed to address the nonlinear, non-stationary, and multi-scale characteristics of influenza surveillance time series, while...