Defining an ontology for fall prevention system design

Véronique Delcroix (1) , Fatma Essghaier (1) , Káthia Marçal de Oliveira (1) , Philippe Pudlo (1) , Cédric Gaxatte (2, 3) , François Puisieux (2, 3)

1 LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201
2 Hôpital des bateliers
3 CHRU Lille - Centre Hospitalier Régional Universitaire [CHU Lille]

The fall is one of the leading causes of death for elderly. Falls in elderly are caused by multiple factors, such as the aging process itself, persons' behavior, habits and environment. Expert knowledge about all these risk factors is required to provide the right recommendation in order to prevent falls. We have worked on the design of a knowledge-based system. An ontology was defined capturing the core knowledge to be used in the system in order to allow falling risk evaluation and definition of the adapted recommendations.

Mots clés: knowledge model; fall prevention; ontology

Domaines: Sciences de l'ingénieur [physics]; Econométrie de la finance [q-fin.ST]

Véronique Delcroix, Fatma Essghaier, Káthia Marçal de Oliveira, Philippe Pudlo, Cédric Gaxatte, et al.. Defining an ontology for fall prevention system design. 10ème conférence Francophone en Gestion et Ingénierie des Systèmes Hospitaliers, GISEH2020, Oct 2020, Valenciennes (visioconférence), France. ⟨hal-03198898⟩