Explainable Multi-Task Deep Learning for Blood Glucose Forecasting: A Lightweight, Interpretability Focused Approach

Maqsood, Sarmad; Sarwar, Muhammad Abdullah; Belousoviene, Egle; Maskeliünas , Rytis

doi:10.36287/setsci.22.4.001

Research Article Peer ReviewedAt least two reviewers Open Access

Explainable Multi-Task Deep Learning for Blood Glucose Forecasting: A Lightweight, Interpretability Focused Approach

Sarmad Maqsood¹^✉ · Muhammad Abdullah Sarwar² · Egle Belousoviene³ · Rytis Maskeliünas ¹

¹Department of Applied Informatics, Vytautas Magnus University

²Centre of Real Time Computer Systems, Faculty of Informatics, Kaunas University of Technology

³Department of Intensive Care, University of Health Sciences

✉ Corresponding author: Sarmad Maqsood · sarmad.maqsood@vdu.lt

Proceedings International Symposium on AI-Driven Engineering Systems Volume 22 Pages 1–6 Year 2025

https://doi.org/10.36287/setsci.22.4.001

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