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- Title
COVID-19-The Role of Artificial Intelligence, Machine Learning, and Deep Learning: A Newfangled.
- Authors
Vinod, Dasari Naga; Prabaharan, S. R. S.
- Abstract
The absolute previously infected novel coronavirus (COVID-19) was found in Wuhan, China, in December 2019. The COVID-19 epidemic has spread to more than 220 nations and territories globally and has altogether influenced each part of our day-to-day lives. As of 9th March 2022, a total aggregate of 44,78,82,185 (60,07,317) contaminated (dead) COVID-19 cases were accounted for all over the world. The quantities of contaminated cases passing despite everything increment essentially and do not indicate a controlled circumstance. The scope of this paper is to address this issue by presenting a comprehensive and comparative analysis of the existing Machine Learning (ML), Deep Learning (DL) and Artificial Intelligence (AI) based approaches used in significance in reacting to the COVID-19 epidemic and diagnosing the severe impacts. The paper provides, firstly, an overview of COVID-19 infection and highlights of this article; Secondly, an overview of exploring various executive innovations by utilizing different resources to stop the spread of COVID-19; Thirdly, a comparison of existing predicting methods of COVID-19 in the literature, with focus on ML, DL and AI-driven techniques with performance metrics; and finally, a discussion on the results of the work as well as future scope.
- Subjects
WUHAN (China); DEEP learning; ARTIFICIAL intelligence; MACHINE learning; COVID-19 pandemic; SARS-CoV-2; COVID-19
- Publication
Archives of Computational Methods in Engineering, 2023, Vol 30, Issue 4, p2667
- ISSN
1134-3060
- Publication type
Article
- DOI
10.1007/s11831-023-09882-4