Abstract
Healthcare remote monitoring applications dominate the market of new technologies due to their valuable aid to patients, families, and medical staff. They provide ubiquitous remote health services for patients with chronic diseases or specific conditions and can provide ubiquitous communication between patients and caregiver(s). This paper presents an ontology reasoning-based healthcare monitoring system called Do-Care. The proposed system supports the supervision and follow-up of outdoor and indoor patients suffering from chronic diseases. Collected data, from wearable(1), nearable(2) or usable(3) devices forms the instances for entities from the proposed Do-Care ontology used by the reasoner when applying a set of SWRL4 rules to determinate the health situation of a patient as Normal, Abnormal or Wrong. The main contribution in this paper is a modular and dynamic ontology composed of FOAF(5), SSN6/SOSA(7) and ICNP8 ontologies with a scalable set of inference rules. The proposed rule based methodology is dynamic and adjustable to meet possible changes in the medication market, medical discoveries, and personal users' profiles. The presented experimental results show the efficiency of the proposed DO-Care system. (C) 2021 Published by Elsevier B.V.