Edward Ombui

Design and Optimisation of an Integrated Multi-Source Ensemble Learning Framework for Predicting Teacher Depression Risk

The findings demonstrate that integrating heterogeneous data sources through ensemble learning substantially improves the prediction of teacher depression risk while highlighting that enhanced predictive accuracy alone does not guarantee deployment-ready clinical decision support.