Real-time prediction of COVID-19 patients health situations using Artificial Neural Networks and Fuzzy Interval Mathematical modeling.
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| Title: | Real-time prediction of COVID-19 patients health situations using Artificial Neural Networks and Fuzzy Interval Mathematical modeling. |
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| Authors: | Elleuch MA; Optimization, Logistics and Informatics Decisions Research Laboratory (OLID), Higher Institute of Industrial Management of Sfax, University of Sfax, BP-2021, Sfax, Tunisia., Hassena AB; Toxicology Environmental Microbiology and Health Research Laboratory (LR17ES06), Faculty of Sciences of Sfax, University of Sfax, BP-3038, Tunisia., Abdelhedi M; Modeling of Geological and Hydrological Systems Research Laboratory GEOMODEL (LR16ES17), Faculty of Sciences of Sfax, University of Sfax, BP-3038 Sfax, Tunisia., Pinto FS; CERIS, IST, University of Lisbon, Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal. |
| Source: | Applied soft computing [Appl Soft Comput] 2021 Oct; Vol. 110, pp. 107643. Date of Electronic Publication: 2021 Jun 24. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 101536968 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1568-4946 (Print) Linking ISSN: 15684946 NLM ISO Abbreviation: Appl Soft Comput Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1568-4946 |
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| DOI: | 10.1016/j.asoc.2021.107643 |
