Artificial Intelligence Models and Techniques Applied to COVID-19: A Review
The rapid spread of SARS-CoV-2 and the consequent global COVID-19 pandemic has prompted the public administrations of different countries to establish health procedures and protocols based on information generated through predictive techniques and models, which, in turn, are based on technology such...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/10/23/2901 |
| _version_ | 1797507899919958016 |
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| author | Lilia Muñoz Vladimir Villarreal Mel Nielsen Yen Caballero Inés Sittón-Candanedo Juan M. Corchado |
| author_facet | Lilia Muñoz Vladimir Villarreal Mel Nielsen Yen Caballero Inés Sittón-Candanedo Juan M. Corchado |
| author_sort | Lilia Muñoz |
| collection | DOAJ |
| description | The rapid spread of SARS-CoV-2 and the consequent global COVID-19 pandemic has prompted the public administrations of different countries to establish health procedures and protocols based on information generated through predictive techniques and models, which, in turn, are based on technology such as artificial intelligence (AI) and machine learning (ML). This article presents some AI tools and computational models used to collaborate in the control and detection of COVID-19 cases. In addition, the main features of the Epidempredict project regarding COVID-19 in Panama are presented. This initiative consists of the planning and design of a digital platform, with cloud-based technology, to manage the ingestion, analysis, visualization and exportation of data regarding the evolution of COVID-19 in Panama. The methodology for the design of predictive algorithms is based on a hybrid model that combines the dynamics associated with population data of an SIR model of differential equations and extrapolation with recurrent neural networks. The technological solution developed suggests that adjustments can be made to the rules implemented in the expert processes that are considered. Furthermore, the resulting information is displayed and explored through user-friendly dashboards, contributing to more meaningful decision-making processes. |
| first_indexed | 2024-03-10T04:55:00Z |
| format | Article |
| id | doaj.art-1c215d1ca0624e6ba102c474002c700c |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T04:55:00Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-1c215d1ca0624e6ba102c474002c700c2023-11-23T02:15:46ZengMDPI AGElectronics2079-92922021-11-011023290110.3390/electronics10232901Artificial Intelligence Models and Techniques Applied to COVID-19: A ReviewLilia Muñoz0Vladimir Villarreal1Mel Nielsen2Yen Caballero3Inés Sittón-Candanedo4Juan M. Corchado5Grupo GITCE, Universidad Tecnológica de Panamá, Av. 6a Oeste, David 0426, PanamaGrupo GITCE, Universidad Tecnológica de Panamá, Av. 6a Oeste, David 0426, PanamaGrupo GITCE, Universidad Tecnológica de Panamá, Av. 6a Oeste, David 0426, PanamaBISITE Research Group, University of Salamanca, Edificio Multiusos I+D+i, Calle Espejo 2, 37007 Salamanca, SpainBISITE Research Group, University of Salamanca, Edificio Multiusos I+D+i, Calle Espejo 2, 37007 Salamanca, SpainBISITE Research Group, University of Salamanca, Edificio Multiusos I+D+i, Calle Espejo 2, 37007 Salamanca, SpainThe rapid spread of SARS-CoV-2 and the consequent global COVID-19 pandemic has prompted the public administrations of different countries to establish health procedures and protocols based on information generated through predictive techniques and models, which, in turn, are based on technology such as artificial intelligence (AI) and machine learning (ML). This article presents some AI tools and computational models used to collaborate in the control and detection of COVID-19 cases. In addition, the main features of the Epidempredict project regarding COVID-19 in Panama are presented. This initiative consists of the planning and design of a digital platform, with cloud-based technology, to manage the ingestion, analysis, visualization and exportation of data regarding the evolution of COVID-19 in Panama. The methodology for the design of predictive algorithms is based on a hybrid model that combines the dynamics associated with population data of an SIR model of differential equations and extrapolation with recurrent neural networks. The technological solution developed suggests that adjustments can be made to the rules implemented in the expert processes that are considered. Furthermore, the resulting information is displayed and explored through user-friendly dashboards, contributing to more meaningful decision-making processes.https://www.mdpi.com/2079-9292/10/23/2901COVID-19artificial intelligencemachine learningpredictive algorithmshybrid model |
| spellingShingle | Lilia Muñoz Vladimir Villarreal Mel Nielsen Yen Caballero Inés Sittón-Candanedo Juan M. Corchado Artificial Intelligence Models and Techniques Applied to COVID-19: A Review Electronics COVID-19 artificial intelligence machine learning predictive algorithms hybrid model |
| title | Artificial Intelligence Models and Techniques Applied to COVID-19: A Review |
| title_full | Artificial Intelligence Models and Techniques Applied to COVID-19: A Review |
| title_fullStr | Artificial Intelligence Models and Techniques Applied to COVID-19: A Review |
| title_full_unstemmed | Artificial Intelligence Models and Techniques Applied to COVID-19: A Review |
| title_short | Artificial Intelligence Models and Techniques Applied to COVID-19: A Review |
| title_sort | artificial intelligence models and techniques applied to covid 19 a review |
| topic | COVID-19 artificial intelligence machine learning predictive algorithms hybrid model |
| url | https://www.mdpi.com/2079-9292/10/23/2901 |
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