A Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (COVID-19) Pandemic
artificial 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-2
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
SAGE Publications Inc.
2023
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.uniten.dspace-25987 |
|---|---|
| record_format |
dspace |
| spelling |
my.uniten.dspace-259872023-05-29T17:05:55Z A Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (COVID-19) Pandemic Rahman M.M. Khatun F. Uzzaman A. Sami S.I. Bhuiyan M.A.-A. Kiong T.S. 57207730841 57516189300 57223593131 57223613080 56369714500 57216824752 artificial 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-2 The 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. Final 2023-05-29T09:05:55Z 2023-05-29T09:05:55Z 2021 Article 10.1177/00207314211017469 2-s2.0-85105946615 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105946615&doi=10.1177%2f00207314211017469&partnerID=40&md5=cfb36fbbb98b8099d89afe5fd96b9997 https://irepository.uniten.edu.my/handle/123456789/25987 51 4 446 461 All Open Access, Hybrid Gold SAGE Publications Inc. Scopus |
| institution |
Universiti Tenaga Nasional |
| building |
UNITEN Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Tenaga Nasional |
| content_source |
UNITEN Institutional Repository |
| url_provider |
http://dspace.uniten.edu.my/ |
| description |
artificial 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-2 |
| author2 |
57207730841 |
| author_facet |
57207730841 Rahman M.M. Khatun F. Uzzaman A. Sami S.I. Bhuiyan M.A.-A. Kiong T.S. |
| format |
Article |
| author |
Rahman M.M. Khatun F. Uzzaman A. Sami S.I. Bhuiyan M.A.-A. Kiong T.S. |
| spellingShingle |
Rahman M.M. Khatun F. Uzzaman A. Sami S.I. Bhuiyan M.A.-A. Kiong T.S. A Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (COVID-19) Pandemic |
| author_sort |
Rahman M.M. |
| title |
A Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (COVID-19) Pandemic |
| title_short |
A Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (COVID-19) Pandemic |
| title_full |
A Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (COVID-19) Pandemic |
| title_fullStr |
A Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (COVID-19) Pandemic |
| title_full_unstemmed |
A Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (COVID-19) Pandemic |
| title_sort |
comprehensive study of artificial intelligence and machine learning approaches in confronting the coronavirus (covid-19) pandemic |
| publisher |
SAGE Publications Inc. |
| publishDate |
2023 |
| _version_ |
1806424226249310208 |
| score |
13.214268 |