Research Article
Open Access Explainable Multi-Task Deep Learning for Blood Glucose Forecasting: A Lightweight, Interpretability Focused Approach
Sarmad Maqsood, Muhammad Abdullah Sarwar, Egle Belousoviene, Rytis Maskeliünas
International Symposium on AI-Driven Engineering Systems Vol. 22 pp. 1–6 2026 https://doi.org/10.36287/setsci.22.4.001
Accurate and transparent blood glucose forecasting is crucial for effective diabetes management. This paper presents an interpretable deep learning (DL) framework based on multi-task learning (MTL) for forecasting glucose levels at multiple…
