Deep Learning Applications to Combat Novel Coronavirus (COVID-19) Pandemic.

Autor: Asraf A; Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203 Bangladesh., Islam MZ; Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203 Bangladesh., Haque MR; Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203 Bangladesh., Islam MM; Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203 Bangladesh.
Jazyk: angličtina
Zdroj: SN computer science [SN Comput Sci] 2020; Vol. 1 (6), pp. 363. Date of Electronic Publication: 2020 Nov 03.
DOI: 10.1007/s42979-020-00383-w
Abstrakt: During this global pandemic, researchers around the world are trying to find out innovative technology for a smart healthcare system to combat coronavirus. The evidence of deep learning applications on the past epidemic inspires the experts by giving a new direction to control this outbreak. The aim of this paper is to discuss the contributions of deep learning at several scales including medical imaging, disease tracing, analysis of protein structure, drug discovery, and virus severity and infectivity to control the ongoing outbreak. A progressive search of the database related to the applications of deep learning was executed on COVID-19. Further, a comprehensive review is done using selective information by assessing the different perspectives of deep learning. This paper attempts to explore and discuss the overall applications of deep learning on multiple dimensions to control novel coronavirus (COVID-19). Though various studies are conducted using deep learning algorithms, there are still some constraints and challenges while applying for real-world problems. The ongoing progress in deep learning contributes to handle coronavirus infection and plays an effective role to develop appropriate solutions. It is expected that this paper would be a great help for the researchers who would like to contribute to the development of remedies for this current pandemic in this area.
Competing Interests: Conflict of interestOn behalf of all authors, the corresponding author states that there is no conflict of interest.
(© Springer Nature Singapore Pte Ltd 2020.)
Databáze: MEDLINE
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