A data-driven personalized approach to predict blood glucose levels in type-1 diabetes patients exercising in free-living conditions

Anas Neumann, Yessine Zghal, Marzia A. Cremona, Adnène Hajji, Michael J. Morin and Monia Rekik

Article (2025)

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Department:	Department of Mathematics and Industrial Engineering
PolyPublie URL:	https://publications.polymtl.ca/64430/
Journal Title:	Computers in Biology and Medicine (vol. 190)
Publisher:	Elsevier BV
DOI:	10.1016/j.compbiomed.2025.110015
Official URL:	https://doi.org/10.1016/j.compbiomed.2025.110015
Date Deposited:	07 Apr 2025 09:03
Last Modified:	07 Apr 2025 09:03

Cite in APA 7:	Neumann, A., Zghal, Y., Cremona, M. A., Hajji, A., Morin, M. J., & Rekik, M. (2025). A data-driven personalized approach to predict blood glucose levels in type-1 diabetes patients exercising in free-living conditions. Computers in Biology and Medicine, 190, 110015 (27 pages). https://doi.org/10.1016/j.compbiomed.2025.110015
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