Analysis of Dependency Evaluation Models for e-Health Services

Haider Mshali (1) , Tayeb Lemlouma (2) , Damien Magoni (1)

1 LaBRI - Laboratoire Bordelais de Recherche en Informatique
2 IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires

This work focuses on the evaluation of the need and help required by elderly and dependent persons. We study the most widely used evaluation models in the health domain. We propose a new algorithm to assess and compare the performance of these models and the possibility to use them in future e-Health systems and platforms. The objective is to shed some light on the weakness of existing models and to gain a better knowledge about the context of persons in order to provide them with e-Health services that match their context and meet their needs.

Mots clés: Dependency; ADL; AGGIR; SMAF; E-Health

Domaines: Réseaux et télécommunications [cs.NI]

Haider Mshali, Tayeb Lemlouma, Damien Magoni. Analysis of Dependency Evaluation Models for e-Health Services. IEEE Global Communications Conference, Dec 2014, Austin, TX, United States. pp.2429-2435, ⟨10.1109/GLOCOM.2014.7037172⟩. ⟨hal-01058185⟩