Joël Mangoma-Joël

Hybrid Packet Learning Approaches for Early Diabetes Detection and Optimization of Therapeutic Strategies: A Comparative Analysis of Stack, Replacement and Reinforcement Models

Joël Mangoma-Joël, Levi Lubaki Budiena, Evariste Kantshia Bakatubia, Thierry Honorius Kanza, Pierre Kafunda Katalay & Richard Kitondua Lubanzadio · Asian Journal of Research in Computer Science · 2026

This thesis focuses on the comparative analysis of ensemble learning methods, including bagging, boosting, and stacking, in the context of early detection of diabetic retinopathy and personalized treatment. The main objective is to propose an intelligent system capable of estimat...