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An intelligent framework using disruptive technologies for COVID-19 analysis
This paper describes a framework using disruptive technologies for COVID-19 analysis. Disruptive technologies include high-tech and emerging technologies such as AI, industry 4.0, IoT, Internet of Medical Things (IoMT), big data, virtual reality (VR), Drone technology, and Autonomous Robots, 5 G, an...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7598374/ https://www.ncbi.nlm.nih.gov/pubmed/33162617 http://dx.doi.org/10.1016/j.techfore.2020.120431 |
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author | Abdel-Basset, Mohamed Chang, Victor Nabeeh, Nada A. |
author_facet | Abdel-Basset, Mohamed Chang, Victor Nabeeh, Nada A. |
author_sort | Abdel-Basset, Mohamed |
collection | PubMed |
description | This paper describes a framework using disruptive technologies for COVID-19 analysis. Disruptive technologies include high-tech and emerging technologies such as AI, industry 4.0, IoT, Internet of Medical Things (IoMT), big data, virtual reality (VR), Drone technology, and Autonomous Robots, 5 G, and blockchain to offer digital transformation, research and development and service delivery. Disruptive technologies are essential for Industry 4.0 development, which can be applied to many disciplines. In this paper, we present a framework that uses disruptive technologies for COVID-19 analysis. The proposed framework restricts the spread of COVID-19 outbreaks, ensures the safety of the healthcare teams and maintains patients' physical and psychological healthcare conditions. The framework is designed to deal with the severe shortage of PPE for the medical team, reduce the massive pressure on hospitals, and track recovered patients to treat COVID-19 patients with plasma. The study provides oversight for governments on how to adopt technologies to reduce the impact of unprecedented outbreaks for COVID-19. Our work illustrates an empirical case study on the analysis of real COVID-19 patients and shows the importance of the proposed intelligent framework to limit the current outbreaks for COVID-19. The aim is to help the healthcare team make rapid decisions to treat COVID-19 patients in hospitals, home quarantine, or identifying and treating patients with typical cold or flu. |
format | Online Article Text |
id | pubmed-7598374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75983742020-11-02 An intelligent framework using disruptive technologies for COVID-19 analysis Abdel-Basset, Mohamed Chang, Victor Nabeeh, Nada A. Technol Forecast Soc Change Article This paper describes a framework using disruptive technologies for COVID-19 analysis. Disruptive technologies include high-tech and emerging technologies such as AI, industry 4.0, IoT, Internet of Medical Things (IoMT), big data, virtual reality (VR), Drone technology, and Autonomous Robots, 5 G, and blockchain to offer digital transformation, research and development and service delivery. Disruptive technologies are essential for Industry 4.0 development, which can be applied to many disciplines. In this paper, we present a framework that uses disruptive technologies for COVID-19 analysis. The proposed framework restricts the spread of COVID-19 outbreaks, ensures the safety of the healthcare teams and maintains patients' physical and psychological healthcare conditions. The framework is designed to deal with the severe shortage of PPE for the medical team, reduce the massive pressure on hospitals, and track recovered patients to treat COVID-19 patients with plasma. The study provides oversight for governments on how to adopt technologies to reduce the impact of unprecedented outbreaks for COVID-19. Our work illustrates an empirical case study on the analysis of real COVID-19 patients and shows the importance of the proposed intelligent framework to limit the current outbreaks for COVID-19. The aim is to help the healthcare team make rapid decisions to treat COVID-19 patients in hospitals, home quarantine, or identifying and treating patients with typical cold or flu. Elsevier Inc. 2021-02 2020-10-29 /pmc/articles/PMC7598374/ /pubmed/33162617 http://dx.doi.org/10.1016/j.techfore.2020.120431 Text en © 2020 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Abdel-Basset, Mohamed Chang, Victor Nabeeh, Nada A. An intelligent framework using disruptive technologies for COVID-19 analysis |
title | An intelligent framework using disruptive technologies for COVID-19 analysis |
title_full | An intelligent framework using disruptive technologies for COVID-19 analysis |
title_fullStr | An intelligent framework using disruptive technologies for COVID-19 analysis |
title_full_unstemmed | An intelligent framework using disruptive technologies for COVID-19 analysis |
title_short | An intelligent framework using disruptive technologies for COVID-19 analysis |
title_sort | intelligent framework using disruptive technologies for covid-19 analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7598374/ https://www.ncbi.nlm.nih.gov/pubmed/33162617 http://dx.doi.org/10.1016/j.techfore.2020.120431 |
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