Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic
Since December 2019, the global health population has faced the rapid spreading of coronavirus disease (COVID-19). With the incremental acceleration of the number of infected cases, the World Health Organization (WHO) has reported COVID-19 as an epidemic that puts a heavy burden on healthcare sector...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/11/7/1155 |
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| author | Nora El-Rashidy Samir Abdelrazik Tamer Abuhmed Eslam Amer Farman Ali Jong-Wan Hu Shaker El-Sappagh |
| author_facet | Nora El-Rashidy Samir Abdelrazik Tamer Abuhmed Eslam Amer Farman Ali Jong-Wan Hu Shaker El-Sappagh |
| author_sort | Nora El-Rashidy |
| collection | DOAJ |
| description | Since December 2019, the global health population has faced the rapid spreading of coronavirus disease (COVID-19). With the incremental acceleration of the number of infected cases, the World Health Organization (WHO) has reported COVID-19 as an epidemic that puts a heavy burden on healthcare sectors in almost every country. The potential of artificial intelligence (AI) in this context is difficult to ignore. AI companies have been racing to develop innovative tools that contribute to arm the world against this pandemic and minimize the disruption that it may cause. The main objective of this study is to survey the decisive role of AI as a technology used to fight against the COVID-19 pandemic. Five significant applications of AI for COVID-19 were found, including (1) COVID-19 diagnosis using various data types (e.g., images, sound, and text); (2) estimation of the possible future spread of the disease based on the current confirmed cases; (3) association between COVID-19 infection and patient characteristics; (4) vaccine development and drug interaction; and (5) development of supporting applications. This study also introduces a comparison between current COVID-19 datasets. Based on the limitations of the current literature, this review highlights the open research challenges that could inspire the future application of AI in COVID-19. |
| first_indexed | 2024-03-10T10:05:45Z |
| format | Article |
| id | doaj.art-9f14a8e689924ab5be78ecfdce0690cf |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-10T10:05:45Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-9f14a8e689924ab5be78ecfdce0690cf2023-11-22T01:32:48ZengMDPI AGDiagnostics2075-44182021-06-01117115510.3390/diagnostics11071155Comprehensive Survey of Using Machine Learning in the COVID-19 PandemicNora El-Rashidy0Samir Abdelrazik1Tamer Abuhmed2Eslam Amer3Farman Ali4Jong-Wan Hu5Shaker El-Sappagh6Machine Learning and Information Retrieval Department, Faculty of Artificial Intelligence, Kafrelsheiksh University, Kafrelsheiksh 13518, EgyptInformation System Department, Faculty of Computer Science and Information Systems, Mansoura University, Mansoura 13518, EgyptCollege of Computing and Informatics, Sungkyunkwan University, Seoul 03063, KoreaFaculty of Computer Science, Misr International University, Cairo 11828, EgyptDepartment of Software, Sejong University, Seoul 05006, KoreaDepartment of Civil and Environmental Engineering, Incheon National University, Incheon 22012, KoreaCentro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, SpainSince December 2019, the global health population has faced the rapid spreading of coronavirus disease (COVID-19). With the incremental acceleration of the number of infected cases, the World Health Organization (WHO) has reported COVID-19 as an epidemic that puts a heavy burden on healthcare sectors in almost every country. The potential of artificial intelligence (AI) in this context is difficult to ignore. AI companies have been racing to develop innovative tools that contribute to arm the world against this pandemic and minimize the disruption that it may cause. The main objective of this study is to survey the decisive role of AI as a technology used to fight against the COVID-19 pandemic. Five significant applications of AI for COVID-19 were found, including (1) COVID-19 diagnosis using various data types (e.g., images, sound, and text); (2) estimation of the possible future spread of the disease based on the current confirmed cases; (3) association between COVID-19 infection and patient characteristics; (4) vaccine development and drug interaction; and (5) development of supporting applications. This study also introduces a comparison between current COVID-19 datasets. Based on the limitations of the current literature, this review highlights the open research challenges that could inspire the future application of AI in COVID-19.https://www.mdpi.com/2075-4418/11/7/1155artificial intelligencedeep learningCOVID_19 |
| spellingShingle | Nora El-Rashidy Samir Abdelrazik Tamer Abuhmed Eslam Amer Farman Ali Jong-Wan Hu Shaker El-Sappagh Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic Diagnostics artificial intelligence deep learning COVID_19 |
| title | Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic |
| title_full | Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic |
| title_fullStr | Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic |
| title_full_unstemmed | Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic |
| title_short | Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic |
| title_sort | comprehensive survey of using machine learning in the covid 19 pandemic |
| topic | artificial intelligence deep learning COVID_19 |
| url | https://www.mdpi.com/2075-4418/11/7/1155 |
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