Please use this identifier to cite or link to this item:
https://ruomo.lib.uom.gr/handle/7000/938
Title: | Internet-of-Things-Enabled Infrastructure Against Infectious Diseases |
Authors: | Memos, Vasileios A. Minopoulos, Georgios Stergiou, Konstantinos D. Psannis, Kostas 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. |
URI: | https://doi.org/10.1109/IOTM.0001.2100023 https://ruomo.lib.uom.gr/handle/7000/938 |
ISSN: | 2576-3180 2576-3199 |
Electronic ISSN: | 2576-3199 |
Other Identifiers: | 10.1109/IOTM.0001.2100023 |
Appears in Collections: | Department of Applied Informatics |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Internet of Things-enabled Infrastructure against Infectious Diseases.pdf | Internet of Things-enabled Infrastructure against Infectious Diseases | 584,51 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.