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Internet of Things and Data Science in Healthcare

Internet of Things and Data Science in Healthcare
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Author(s): George Tzanis (Aristotle University of Thessaloniki, Greece) and Ourania-Ioanna Fotopoulou (Aristotle University of Thessaloniki, Greece)
Copyright: 2021
Pages: 14
Source title: Encyclopedia of Information Science and Technology, Fifth Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-7998-3479-3.ch133

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Abstract

Undoubtedly the IoT is the future of technology, which can provide manifold benefits to health care. However, the posed challenges 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. The most popular representative of these modern tools is data mining. Although the KDD process has provided a lot of solutions, these techniques have to be scaled in order to deal with the new challenges posed by the big data paradigm. Cloud computing, as well as edge computing are the modern infrastructures that can provide the means to efficiently manage big data. Both cloud/edge computing and the IoT are very promising concepts of technology and their complementary characteristics assure that their integration, Cloud-IoT, provides a great potential of applications. The introduction of the Cloud-IoT paradigm in the healthcare domain can offer manifold benefits and opportunities that will considerably improve the quality of health care.

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