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For: Devante Ayris, Maleeha Imtiaz, Kye Horbury, Blake Williams, Mitchell Blackney, Celine Shi Hui See, Syed Afaq Ali Shah. Novel deep learning approach to model and predict the spread of COVID-19. Intelligent Systems with Applications 2022;14. [ DOI: 10.1016/j.iswa.2022.200068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Number Cited by Other Article(s)
1
Salehi Amiri A, Babaei A, Simic V, Tirkolaee EB. A variant-informed decision support system for tackling COVID-19: a transfer learning and multi-attribute decision-making approach. PeerJ Comput Sci 2024;10:e2321. [PMID: 39314704 PMCID: PMC11419658 DOI: 10.7717/peerj-cs.2321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 08/21/2024] [Indexed: 09/25/2024]
2
Batoure Bamana A, Shafiee Kamalabad M, Oberski DL. A systematic literature review of time series methods applied to epidemic prediction. INFORMATICS IN MEDICINE UNLOCKED 2024;50:101571. [DOI: 10.1016/j.imu.2024.101571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2025]  Open
3
Duan J, Li H, Ma X, Zhang H, Lasky R, Monaghan CK, Chaudhuri S, Usvyat L, Gu M, Guo W, Kotanko P, Wang Y. Predicting SARS-CoV-2 infection among hemodialysis patients using multimodal data. FRONTIERS IN NEPHROLOGY 2023;3:1179342. [PMID: 37675373 PMCID: PMC10479652 DOI: 10.3389/fneph.2023.1179342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 04/28/2023] [Indexed: 09/08/2023]
4
Saleem F, AL-Ghamdi ASALM, Alassafi MO, AlGhamdi SA. Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022;19:5099. [PMID: 35564493 PMCID: PMC9099605 DOI: 10.3390/ijerph19095099] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 04/11/2022] [Accepted: 04/20/2022] [Indexed: 01/27/2023]
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