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. 2021 Feb:163:120431.
doi: 10.1016/j.techfore.2020.120431. Epub 2020 Oct 29.

An intelligent framework using disruptive technologies for COVID-19 analysis

Mohamed Abdel-Basset  1 , Victor Chang  2 , Nada A Nabeeh  3
Affiliations

An intelligent framework using disruptive technologies for COVID-19 analysis

Mohamed Abdel-Basset et al. Technol Forecast Soc Change. 2021 Feb.

Abstract

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.

Keywords: 5 G; Blockchain; Covid-19; Healthcare; Industry 4.0; Internet of medical things (iomt).

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Conflict of interest statement

The authors declare that there is no conflict of interest in the research

Figures

Fig. 9
Fig. 9
The chest X-ray for mild COVID-19 patients.
Fig. 10
Fig. 10
The chest X-ray for moderate COVID-19 patients.
Fig. 11
Fig. 11
The chest X-ray for severe COVID-19 patients.
Fig. 12
Fig. 12
The chest X-ray for critical COVID-19 patients.
Fig. 1
Fig. 1
Guidelines for the basic information about COVID-19 (Clinical Management of Covid-19, 2020).
Fig. 2
Fig. 2
The workflow for the main categories affected COVID-19 patients.
Fig. 3
Fig. 3
The main goals for the proposed intelligent framework.
Fig. 4
Fig. 4
Traditional Procedures for COVID-19 patient's treatment.
Fig. 5
Fig. 5
The general intelligent framework proposed to limit the pandemic of COVID-19.
Fig. 6
Fig. 6
Procedures for the proposed intelligent framework to limit the COVID-19 outbreaks.
Fig. 7
Fig. 7
The proposed intelligent framework treatment using IoT technologies.
Fig. 8
Fig. 8
The proposed intelligent framework treatment using IoMT technologies.
Fig. 13
Fig. 13
The traditional procedures for the use of monitor in hospitals.
Fig. 14
Fig. 14
The future trends of research in the light of the proposed intelligent framework.
See this image and copyright information in PMC

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