A Proposed Internet of Everything Framework for Disease Prediction

Abstract

Social networks and Internet of things are two paradigms when integrated a new paradigm Internet of Everything is established that has its impact on revolutionizing various fields such as engineering, industry and healthcare. Social networks became nowadays of the most important web services on which people heavily rely, thus became a major source for information extraction for rational decision making considering individuals as social or socio sensors. Furthermore, people using sensors especially biological sensors enabled the use of internet of things technology in building intelligent healthcare systems. One of the challenges facing the design of such systems is the design of an intelligent recommender system that is able to deal with such big data. For that, 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 advisory systems that are able to observe physiological signals through the use of different bio sensors and integrate it with historical medical data together 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.

Scoring Functions and Modeling of Structure-Activity Relationships for Cannabinoid Receptors

“…A negative correlation between the values of ChemScore scoring function for models of CBR1 and CBR2 and the values of the affinity of the cannabinoid ligands was established. It is known that as lower the value of the affinity constant is the biological effect of the ligands is the stronger [21][22][23][24][25][26]. Dependence that best describes the biological effects using the docking is between ChemScore function and KA.…”

Exploring Biosensors’ Scientific Production and Research Patterns: A Bibliometric Analysis

“…The optimism of the biosensors field gravitates around these devices being a critical personal healthcare tool, although the field still needs further exploration. The spectrum of applications is mainly framed by the possibilities of biosensing to engage with the Internet of Things [45,46] and big data through wireless gadgets [47]. The prospect of combining the regular monitoring of health-related levels such as sweat glucose [48], blood test modules [4], or saliva [49] can be fundamental to cancer detection, which is a significant knowledge base in the field today.…”

Desafios de Pesquisa em Arquiteturas para IoT social

“…Tais aspectos são desdobramentos de pesquisa que integram uma estrutura arquitetônica ideal voltadaà Social IoT. Loscri et al 2018Iqbal et al 2018 As pesquisas de [Anjomshoa et al 2017], [Anke 2019], [Seal and Mukherjee 2018], [Maghawry and Ghoniemy 2019], [Loscri et al 2018], [Iqbal et al 2018] e [Wu et al 2017] abordam arquiteturas com presença do middleware -elemento intermediário -que fornece funcionalidades e recursos comuns, voltadosà composição de serviços em ambientes inteligentes.…”

“…Autor QE1 QE2 QE3 Foco [Anjomshoa et al 2017] Sim CS UO Serviços baseado em IA [Anke 2019] Sim CS OO Serviços baseado em IA [Seal and Mukherjee 2018] Sim CS OO Arquitetura Fog [Maghawry and Ghoniemy 2019] Sim CS/DS UO Sensores integrados SN [Loscri et al 2018] Sim CS/GR OO Análise motriz social [Iqbal et al 2018] Sim CS/GR OO Serviços em tempo real [Wu et al 2017] Sim CS/GC OO Serviços de segurança [Cicirelli et al 2019] Sim GR OO Adaptação ao contexto [Kolozali et al 2018] Sim GR OO Eventos complexos [Armando et al 2018] Sim GR UO Adaptação ao contexto [Tahsien et al 2020] Não GC UO Serviços baseado em IA Alguns artigos foram excluídos desta RSL, pois após sua leitura completa foi observada falta de alinhamento com o objeto desta investigação, a saber: [Emmanouilidis et al 2018], [Singh et al 2019], apresentam foco em sistemas distribuídos; [Hamrioui et al 2018], [Gupta et al 2018], analisam a usabilidade; [Song et al 2017], [Khamparia et al 2018], [Wang et al 2017] restringem sua observação aos aspectos de segurança.…”