Diabetes Mobile Application as a Part of Semantic Multi-Agent System for E-Health

With time, diabetes is topping the list of the most serious chronic diseases in the world. People with diabetes have an increased risk of developing many serious health issues such as cardiovascular diseases, blindness, kidney failure, and lower limb amputation. Self-monitoring, in addition to fast and remote assistance may significantly reduce this risk. People with diabetes can regularly monitor their blood glucose levels, blood pressure, cholesterol, diet, daily activities, medicine intake, and others, thanks to the evolution of sensors technology and built-in smartphone features such as barcode scanners, reminders, etc. Although many diabetes mobile applications are available in the market nowadays, they lack interoperability with other sensors/actuators technology, scalability and efficient intelligence. In this work, we propose a diabetes mobile application as part of a semantic multi-agent system for e-health. This mobile application is integrated within the CareWare architecture and the existing diabetes ontologies. The interconnection between the semantic multi-agent server and the mobile application is detailed in this paper. Moreover, communications between the biomedical sensors and the mobile application are realized and evaluated in real-life conditions in terms of diabetes patients' monitoring and assistance.