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Title: Internet-of-Things-Enabled Infrastructure Against Infectious Diseases
Authors: Memos, Vasileios A.
Minopoulos, Georgios
Stergiou, Konstantinos D.
Psannis, Konstantinos E.
Subjects: FRASCATI::Engineering and technology::Medical engineering
Keywords: 5G, Big Data Analytics, Cloud Computing, Internet of Things, Healthcare, Machine Learning, Wireless Sensor Networks.
Issue Date: Jun-2021
Publisher: IEEE
Source: IEEE Internet of Things Magazine
Volume: 4
Issue: 2
First Page: 20
Last Page: 25
Volume Title: Internet of Medical Things in the Context of COVID-19
Part of Series: Internet of Medical Things in the Context of COVID-19
Part of Series: Internet of Medical Things in the Context of COVID-19
Abstract: Nowadays is, unfortunately, more than obvious that conventional medical methods are struggling in finding a treatment for infectious diseases, like the novel Coronavirus, COVID-19. Upcoming technologies can renovate a healthcare system in order to overcome the problem of new diseases. Thus, in this paper, we propose the integration of state-of-the-art emerging technologies that can be successfully used alongside conventional methods to detect and combat various diseases. Such a robust infrastructure can offer accuracy and speed in terms of detection and treatment of different infectious diseases that make the human population suffer.
ISSN: 2576-3180
Electronic ISSN: 2576-3199
Other Identifiers: 10.1109/IOTM.0001.2100023
Appears in Collections:Department of Applied Informatics

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