Intelligent system for diabetes patients monitoring and assistance

Lina Nachabe Ismail (1) , Bachar El Hassan (2) , Dima Al Mouhammad (2) , Marc Girod-Genet (3, 4, 5, 6)

1 AUCE - American University of Culture & Education (.)
2 ULFG - Faculty of Engineering [Lebanese University]
3 R3S-SAMOVAR - Réseaux, Systèmes, Services, Sécurité
4 SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
5 TSP - RS2M - Département Réseaux et Services Multimédia Mobiles
6 CNRS - Centre National de la Recherche Scientifique

The number of diabetes patients is increasing dramatically. Diabetes has many reasons and can lead to severe complications. It has been proven that early diagnosis and effective monitoring and assistance can decrease the effect of this disease. Thus, this paper presents general diabetes system for patient's pre-diagnosis, monitoring and assistance. Client java graphical interfaces, in addition to a remote server, have been conceived for effective controlling and monitoring. The communication is based on encrypted JSON queries

Mots clés: Semantic analysis; Ontology; IoT; Diabetes; Patient monitoring; Json; Java

Domaines: Interface homme-machine [cs.HC]; Réseaux et télécommunications [cs.NI]; Système multi-agents [cs.MA]; Bio-Informatique, Biologie Systémique [q-bio.QM]

Lina Nachabe Ismail, Bachar El Hassan, Dima Al Mouhammad, Marc Girod-Genet. Intelligent system for diabetes patients monitoring and assistance. ICABME 2017 : 4th International Conference on Advances in Biomedical Engineering, Oct 2017, Beirut, Lebanon. pp.1 - 4, ⟨10.1109/ICABME.2017.8167570⟩. ⟨hal-01681434⟩