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A Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (COVID-19) Pandemic

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dc.citedby16
dc.contributor.authorRahman M.M.en_US
dc.contributor.authorKhatun F.en_US
dc.contributor.authorUzzaman A.en_US
dc.contributor.authorSami S.I.en_US
dc.contributor.authorBhuiyan M.A.-A.en_US
dc.contributor.authorKiong T.S.en_US
dc.contributor.authorid57207730841en_US
dc.contributor.authorid57516189300en_US
dc.contributor.authorid57223593131en_US
dc.contributor.authorid57223613080en_US
dc.contributor.authorid56369714500en_US
dc.contributor.authorid57216824752en_US
dc.date.accessioned2023-05-29T09:05:55Z
dc.date.available2023-05-29T09:05:55Z
dc.date.issued2021
dc.descriptionartificial intelligence; COVID-19; detection method; health care; health services; machine learning; supervised learning; Coronavirus; artificial intelligence; human; machine learning; pandemic; Artificial Intelligence; COVID-19; Humans; Machine Learning; Pandemics; SARS-CoV-2en_US
dc.description.abstractThe novel coronavirus disease (COVID-19) has spread over 219 countries of the globe as a pandemic, creating alarming impacts on health care, socioeconomic environments, and international relationships. The principal objective of the study is to provide the current technological aspects of artificial intelligence (AI) and other relevant technologies and their implications for confronting COVID-19 and preventing the pandemic�s dreadful effects. This article presents AI approaches that have significant contributions in the fields of health care, then highlights and categorizes their applications in confronting COVID-19, such as detection and diagnosis, data analysis and treatment procedures, research and drug development, social control and services, and the prediction of outbreaks. The study addresses the link between the technologies and the epidemics as well as the potential impacts of technology in health care with the introduction of machine learning and natural language processing tools. It is expected that this comprehensive study will support researchers in modeling health care systems and drive further studies in advanced technologies. Finally, we propose future directions in research and conclude that persuasive AI strategies, probabilistic models, and supervised learning are required to tackle future pandemic challenges. � The Author(s) 2021.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1177/00207314211017469
dc.identifier.epage461
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85105946615
dc.identifier.spage446
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85105946615&doi=10.1177%2f00207314211017469&partnerID=40&md5=cfb36fbbb98b8099d89afe5fd96b9997
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25987
dc.identifier.volume51
dc.publisherSAGE Publications Inc.en_US
dc.relation.ispartofAll Open Access, Hybrid Gold
dc.sourceScopus
dc.sourcetitleInternational Journal of Health Services
dc.titleA Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (COVID-19) Pandemicen_US
dc.typeArticleen_US
dspace.entity.typePublication
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