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Authors: Juan F. Gaitán-Guerrero 1 ; Carmen Martínez-Cruz 2 ; José L. López 1 ; Francisco Mata-Mata 1 ; Luis G. Pérez-Cordón 1 ; José-María Serrano 1 ; Juana M. Morcillo-Martínez 3 ; Ángeles Verdejo-Espinosa 4 ; Juan C. Cuevas-Martínez 5 ; Raquel Viciana-Abad 5 ; Pedro J. Reche-López 5 ; José M. Pérez-Lorenzo 5 ; David Díaz-Jiménez 1 and Macarena Espinilla 1

Affiliations: 1 Department of Computer Science, University of Jaén, 23071, Jaén, Spain ; 2 Department of Languages and Computer Systems, University of Granada, 18071, Granada, Spain ; 3 Psycology Department, Faculty of Social Work, University of Jaén, 23071 Jaén, Spain ; 4 Electrical Engineering Department, University of Jaén, 23071 Jaén, Spain ; 5 Telecommunication Engineering Department, University of Jaén, 23071 Jaén, Spain

Keyword(s): Internet of Everything, Diabetes, Continuous Glucose Monitoring, Environmental Factors, Artificial Intelligence Models, Recommendation Systems, Mobile Health Applications, eHealth, Healthcare Information Systems.

Abstract: This paper introduces GLOW-ENV, an intelligent Internet of Everything (IoE)-driven mobile application designed with the objective of integrating real-time glucose monitoring data and environmental metrics to enhance diabetes care and management. The proposed IoE ecosystem integrates a continuous glucose monitoring with a personalized Artificial Intelligence model designed to predict glycemic fluctuations in a near-future. Additionally, GLOW-ENV integrates a rule-based recommendation system to dynamically adapt its suggestions based on contextual glucose and environmental data. This framework advances personalized diabetes care, contributing to their progression and well-being offering valuable insights and improving decision-making.

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Paper citation in several formats:
Gaitán-Guerrero, J. F., Martínez-Cruz, C., López, J. L., Mata-Mata, F., Pérez-Cordón, L. G., Serrano, J.-M., Morcillo-Martínez, J. M., Verdejo-Espinosa, Á., Cuevas-Martínez, J. C., Viciana-Abad, R., Reche-López, P. J., Pérez-Lorenzo, J. M., Díaz-Jiménez, D. and Espinilla, M. (2025). GLOW-ENV: A Dual-Data IoE-Based Approach for Integrating Glucose and Environmental Data into a Diabetes Recommendation System. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF; ISBN 978-989-758-731-3; ISSN 2184-4305, SciTePress, pages 797-804. DOI: 10.5220/0013307100003911

@conference{healthinf25,
author={Juan F. Gaitán{-}Guerrero and Carmen Martínez{-}Cruz and José L. López and Francisco Mata{-}Mata and Luis G. Pérez{-}Cordón and José{-}María Serrano and Juana M. Morcillo{-}Martínez and Ángeles Verdejo{-}Espinosa and Juan C. Cuevas{-}Martínez and Raquel Viciana{-}Abad and Pedro J. Reche{-}López and José M. Pérez{-}Lorenzo and David Díaz{-}Jiménez and Macarena Espinilla},
title={GLOW-ENV: A Dual-Data IoE-Based Approach for Integrating Glucose and Environmental Data into a Diabetes Recommendation System},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF},
year={2025},
pages={797-804},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013307100003911},
isbn={978-989-758-731-3},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF
TI - GLOW-ENV: A Dual-Data IoE-Based Approach for Integrating Glucose and Environmental Data into a Diabetes Recommendation System
SN - 978-989-758-731-3
IS - 2184-4305
AU - Gaitán-Guerrero, J.
AU - Martínez-Cruz, C.
AU - López, J.
AU - Mata-Mata, F.
AU - Pérez-Cordón, L.
AU - Serrano, J.
AU - Morcillo-Martínez, J.
AU - Verdejo-Espinosa, Á.
AU - Cuevas-Martínez, J.
AU - Viciana-Abad, R.
AU - Reche-López, P.
AU - Pérez-Lorenzo, J.
AU - Díaz-Jiménez, D.
AU - Espinilla, M.
PY - 2025
SP - 797
EP - 804
DO - 10.5220/0013307100003911
PB - SciTePress

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