TY - JOUR
T1 - An intelligent framework using disruptive technologies for COVID-19 analysis
AU - Abdel-Basset, Mohamed
AU - Chang, Victor
AU - Nabeeh, Nada A.
N1 - Funding Information:
Authors would like to thank Dr. Ahmed Kamal Nabeeh (Medical staff in the corona team of Aljaber Alahmad Alsapah Hospital) for his great support in medical aspects of the COVID-19 regarding the symptoms investigation and results of treatment of the disease. This work is partly supported by VC Research (VCR 0000064).
Publisher Copyright:
© 2020
PY - 2021/2
Y1 - 2021/2
N2 - 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.
AB - 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.
KW - 5 G
KW - Blockchain
KW - Covid-19
KW - Healthcare
KW - Industry 4.0
KW - Internet of medical things (iomt)
UR - http://www.scopus.com/inward/record.url?scp=85094946054&partnerID=8YFLogxK
U2 - 10.1016/j.techfore.2020.120431
DO - 10.1016/j.techfore.2020.120431
M3 - Article
AN - SCOPUS:85094946054
SN - 0040-1625
VL - 163
SP - 1
EP - 14
JO - Technological Forecasting and Social Change
JF - Technological Forecasting and Social Change
M1 - 120431
ER -