Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review.
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| Title: | Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review. |
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| Authors: | Saleem F; Department of Information System, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia., Al-Ghamdi ASA; Department of Information System, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia., Alassafi MO; Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia., AlGhamdi SA; Ministry of Health, King Abdulaziz Hospital, Jeddah 22421, Saudi Arabia. |
| Source: | International journal of environmental research and public health [Int J Environ Res Public Health] 2022 Apr 22; Vol. 19 (9). Date of Electronic Publication: 2022 Apr 22. |
| Publication Type: | Journal Article; Systematic Review; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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