Design and Optimisation of an Integrated Multi-Source Ensemble Learning Framework for Predicting Teacher Depression Risk
Existing approaches to predicting teacher depression rely predominantly on single-source self-reported data and conventional statistical models, limiting their ability to capture the complex interactions among psychological, occupational, financial, and contextual risk factors and reducing their generalizability across...