Abstract—The integration between Social networks and Internet of things established a paradigm that is expected to revolutionize various fields such as engineering, industry and healthcare. Social networks became of the most important web applications on which not only people heavily rely, but also where information extracted became a major source for rational decision making considering individuals as social or socio sensors. Furthermore, being socio who is using sensors especially biological sensors enabled the use of internet of things technology in building intelligent healthcare systems. One of the highly challenging problems facing the design of such systems is the design of the suitable intelligent recommender system that is able to deal with such big data. As such, this paper proposes a framework to develop an enhanced intelligent expert advisor-based health monitoring and disease awareness system. The proposed framework enables the researchers to design such advisory systems that are able to observe physiological signals through the use of different bio sensors and the integration of historical medical data with the massive data collected from social networks to provide accurate alerts and recommendations for many ailments inspected. The proposed Framework is designed to facilitate generic, dynamic and scalable process of integrating different types of social networks and bio sensors.

 

Index Terms—internet of things, internet of everything, bio-sensors, socio-sensors, big data analytics, healthcare

Cite: Samy Ghoniemy and Noura E. Maghawry, "A Proposed Internet of Everything Framework for Medical Applications," Journal of Advances in Information Technology, Vol. 10, No. 1, pp. 20-23, February 2019. doi: 10.12720/jait.10.1.20-23