Big Data Classification and Internet of Things in Healthcare

[EN] Every single day, a massive amount of data is generated by different medical data sources. Processing this wealth of data is indeed a daunting task, and it forces us to adopt smart and scalable computational strategies, including machine intelligence, big data analytics, and data classification. The authors can use the Big Data analysis for effective decision making in healthcare domain using the existing machine learning algorithms with some modification to it. The fundamental purpose of this article is to summarize the role of Big Data analysis in healthcare, and to provide a comprehensive analysis of the various techniques involved in mining big data. This article provides an overview of Big Data, applicability of it in healthcare, some of the work in progress and a future works. Therefore, in this article, the use of machine learning techniques is proposed for real-time diabetic patient data analysis from IoT devices and gatewaysRghioui, A.; Lloret, J.; Oumnad, A. (2020). Big Data Classification and Internet of Things in Healthcare. International Journal of E-Health and Medical Communications. 11(2):20-37. https://doi.org/10.4018/IJEHMC.2020040102203711

Internet of things for measuring human activities in ambient assisted living and e-health

Internet of things (IoT) is a new paradigm that combines several technologies such as computers, Internet, sensor networks, radio frequency identification (RFID), communication technology and embedded systems to form a system that links the real world with digital world. Currently, a large number of smart objects and different type of devices are interconnected and more and more they are being used in Ambient Assisted Living (AAL) scenarios for improving the daily tasks of elderly and disabled people. This paper presents an IoT architecture and protocol for Ambient Assisted Living and e-health. It is designed for heterogeneous AAL and e-health scenarios where an IoT network is the most suitable option to interconnect all elements. Finally, we simulate a medium-size network with four protocols especially designed for networks with important energy constraints in order to show their performance.Rghioui, A.; Sendra, S.; Lloret, J.; Oumnad, A. (2016). Internet of things for measuring human activities in ambient assisted living and e-health. Network Protocols and Algorithms. 8(3):15-28. doi:10.5296/npa.v8i3.10146S15288