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 wearable¹ , nearable² or usable³ 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 FOAF⁵ , SSN⁶ /SOSA⁷ 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.

医疗保健远程监控应用由于对患者，家庭和医务人员的宝贵帮助而在新技术市场上占主导地位。它们为患有慢性疾病或特定疾病的患者提供普遍存在的远程医疗服务，并可以在患者与护理人员之间提供普遍存在的沟通。本文提出了一种基于本体推理的医疗监控系统，称为Do-Care。拟议的系统支持对患有慢性疾病的室外和室内患者的监督和随访。从可穿戴设备¹ ，可接近设备² 或可用设备³ 收集的数据构成了推理程序在应用一组SWRL时所提出的Do-Care本体中实体的实例 将患者的健康状况确定为正常，异常或错误的⁴条规则。本文的主要贡献是由FOAF ⁵ ，SSN ⁶ / SOSA ⁷ 和ICNP ⁸ 本体组成的模块化和动态本体，以及一组可扩展的推理规则。所提出的基于规则的方法是动态的和可调整的，以适应药物市场，医疗发现和个人用户资料的可能变化。给出的实验结果表明了提出的DO-Care系统的效率。