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Healthcare Data Analysis in the Internet of Things Era

Healthcare Data Analysis in the Internet of Things Era
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Author(s): George Tzanis (Aristotle University of Thessaloniki, Greece)
Copyright: 2019
Pages: 13
Source title: Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-7598-6.ch043

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Abstract

Undoubtedly the IoT is the future of technology; it can provide manifold benefits to healthcare. However, the challenges posed are also great. Concerning the analysis of healthcare data, various tools have been introduced to deal efficiently with the large volumes as well as the various peculiarities of data (e.g., missing values, noise, etc.). The most popular representative of these modern tools is data mining, or the KDD process, strictly speaking. Although the KDD process has provided a lot of solutions, in many cases these techniques have to be scaled in order to deal with the new challenges posed by the big data paradigm. Cloud computing is the modern infrastructure that can provide the means to efficiently manage big data. Both cloud computing and the IoT are very promising concepts of technology and their complementary characteristics assure that their integration, Cloud-IoT, is very promising too. The introduction of the Cloud-IoT paradigm in the healthcare domain can offer manifold benefits and opportunities that will considerably improve the quality of healthcare.

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