COVID-19 Pandemic: How Artificial Intelligence can help us?/Pandemia de COVID-19: Como a Inteligência Artificial pode nos ajudar?
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Brazilian Applied Science Review |
Texto Completo: | https://ojs.brazilianjournals.com.br/ojs/index.php/BASR/article/view/17029 |
Resumo: | The current pandemic of COVID-19 – Coronavirus Disease-19, caused by the pathogen SARS-CoV-2, has already killed thousands of people in the year of 2020. We did a review of literature to understand the potential use of AI to respond to COVID-19. The search strategy used five descriptors: (i) “Artificial Intelligence”, (ii) “Deep Learning”, (iii) “Machine Learning”, (iv) “COVID-19” and (v) “SARS-CoV-2”, which have been combined to search for articles in the PubMed and ResearchGate databases. The bibliographic search has been complemented with texts of previous knowledge of the authors. The subjects covered in the chosen bibliography have been organized into two main study categories: (i) AI for diagnosis; and (ii) AI for controlling dissemination. The final considerations point out the main complications for the proper use of AI and the possibilities of its application to support decision making of health professionals and at managerial levels of public health. |
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COVID-19 Pandemic: How Artificial Intelligence can help us?/Pandemia de COVID-19: Como a Inteligência Artificial pode nos ajudar?COVID-19 Pandemic: How Artificial Intelligence can help us / COVID-19 Pandemia: Como a Inteligência Artificial pode nos ajudarArtificial IntelligenceCOVID-19Machine Learning.The current pandemic of COVID-19 – Coronavirus Disease-19, caused by the pathogen SARS-CoV-2, has already killed thousands of people in the year of 2020. We did a review of literature to understand the potential use of AI to respond to COVID-19. The search strategy used five descriptors: (i) “Artificial Intelligence”, (ii) “Deep Learning”, (iii) “Machine Learning”, (iv) “COVID-19” and (v) “SARS-CoV-2”, which have been combined to search for articles in the PubMed and ResearchGate databases. The bibliographic search has been complemented with texts of previous knowledge of the authors. The subjects covered in the chosen bibliography have been organized into two main study categories: (i) AI for diagnosis; and (ii) AI for controlling dissemination. The final considerations point out the main complications for the proper use of AI and the possibilities of its application to support decision making of health professionals and at managerial levels of public health.Brazilian Journals Publicações de Periódicos e Editora Ltda.2020-09-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.brazilianjournals.com.br/ojs/index.php/BASR/article/view/1702910.34115/basrv4n5-012Brazilian Applied Science Review; Vol. 4 No. 5 (2020); 2904-2915Brazilian Applied Science Review; v. 4 n. 5 (2020); 2904-29152595-36212595-362110.34115/basr.v4i5reponame:Brazilian Applied Science Reviewinstname:Brazilian Journals Publicações de Periódicos e Editora Ltdainstacron:FIEPporhttps://ojs.brazilianjournals.com.br/ojs/index.php/BASR/article/view/17029/14221Copyright (c) 2020 Brazilian Applied Science Reviewinfo:eu-repo/semantics/openAccessMotta, Oswaldo Jesus Rodrigues daMachado, Gabriel ResendeGomes, Andréia PatríciaNas, ElenSilva, EugênioGoldschmidt, Ronaldo RibeiroBatista, Rodrigo Siqueira-2022-12-06T16:52:01Zoai:ojs2.ojs.brazilianjournals.com.br:article/17029Revistahttps://www.brazilianjournals.com/index.php/BASRPRIhttps://ojs.brazilianjournals.com.br/ojs/index.php/BASR/oaibrazilianasr@yahoo.com || brazilianasr@yahoo.com2595-36212595-3621opendoar:2022-12-06T16:52:01Brazilian Applied Science Review - Brazilian Journals Publicações de Periódicos e Editora Ltdafalse |
dc.title.none.fl_str_mv |
COVID-19 Pandemic: How Artificial Intelligence can help us?/Pandemia de COVID-19: Como a Inteligência Artificial pode nos ajudar? COVID-19 Pandemic: How Artificial Intelligence can help us / COVID-19 Pandemia: Como a Inteligência Artificial pode nos ajudar |
title |
COVID-19 Pandemic: How Artificial Intelligence can help us?/Pandemia de COVID-19: Como a Inteligência Artificial pode nos ajudar? |
spellingShingle |
COVID-19 Pandemic: How Artificial Intelligence can help us?/Pandemia de COVID-19: Como a Inteligência Artificial pode nos ajudar? Motta, Oswaldo Jesus Rodrigues da Artificial Intelligence COVID-19 Machine Learning. |
title_short |
COVID-19 Pandemic: How Artificial Intelligence can help us?/Pandemia de COVID-19: Como a Inteligência Artificial pode nos ajudar? |
title_full |
COVID-19 Pandemic: How Artificial Intelligence can help us?/Pandemia de COVID-19: Como a Inteligência Artificial pode nos ajudar? |
title_fullStr |
COVID-19 Pandemic: How Artificial Intelligence can help us?/Pandemia de COVID-19: Como a Inteligência Artificial pode nos ajudar? |
title_full_unstemmed |
COVID-19 Pandemic: How Artificial Intelligence can help us?/Pandemia de COVID-19: Como a Inteligência Artificial pode nos ajudar? |
title_sort |
COVID-19 Pandemic: How Artificial Intelligence can help us?/Pandemia de COVID-19: Como a Inteligência Artificial pode nos ajudar? |
author |
Motta, Oswaldo Jesus Rodrigues da |
author_facet |
Motta, Oswaldo Jesus Rodrigues da Machado, Gabriel Resende Gomes, Andréia Patrícia Nas, Elen Silva, Eugênio Goldschmidt, Ronaldo Ribeiro Batista, Rodrigo Siqueira- |
author_role |
author |
author2 |
Machado, Gabriel Resende Gomes, Andréia Patrícia Nas, Elen Silva, Eugênio Goldschmidt, Ronaldo Ribeiro Batista, Rodrigo Siqueira- |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Motta, Oswaldo Jesus Rodrigues da Machado, Gabriel Resende Gomes, Andréia Patrícia Nas, Elen Silva, Eugênio Goldschmidt, Ronaldo Ribeiro Batista, Rodrigo Siqueira- |
dc.subject.por.fl_str_mv |
Artificial Intelligence COVID-19 Machine Learning. |
topic |
Artificial Intelligence COVID-19 Machine Learning. |
description |
The current pandemic of COVID-19 – Coronavirus Disease-19, caused by the pathogen SARS-CoV-2, has already killed thousands of people in the year of 2020. We did a review of literature to understand the potential use of AI to respond to COVID-19. The search strategy used five descriptors: (i) “Artificial Intelligence”, (ii) “Deep Learning”, (iii) “Machine Learning”, (iv) “COVID-19” and (v) “SARS-CoV-2”, which have been combined to search for articles in the PubMed and ResearchGate databases. The bibliographic search has been complemented with texts of previous knowledge of the authors. The subjects covered in the chosen bibliography have been organized into two main study categories: (i) AI for diagnosis; and (ii) AI for controlling dissemination. The final considerations point out the main complications for the proper use of AI and the possibilities of its application to support decision making of health professionals and at managerial levels of public health. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-09-21 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ojs.brazilianjournals.com.br/ojs/index.php/BASR/article/view/17029 10.34115/basrv4n5-012 |
url |
https://ojs.brazilianjournals.com.br/ojs/index.php/BASR/article/view/17029 |
identifier_str_mv |
10.34115/basrv4n5-012 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://ojs.brazilianjournals.com.br/ojs/index.php/BASR/article/view/17029/14221 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Brazilian Applied Science Review info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Brazilian Applied Science Review |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Brazilian Journals Publicações de Periódicos e Editora Ltda. |
publisher.none.fl_str_mv |
Brazilian Journals Publicações de Periódicos e Editora Ltda. |
dc.source.none.fl_str_mv |
Brazilian Applied Science Review; Vol. 4 No. 5 (2020); 2904-2915 Brazilian Applied Science Review; v. 4 n. 5 (2020); 2904-2915 2595-3621 2595-3621 10.34115/basr.v4i5 reponame:Brazilian Applied Science Review instname:Brazilian Journals Publicações de Periódicos e Editora Ltda instacron:FIEP |
instname_str |
Brazilian Journals Publicações de Periódicos e Editora Ltda |
instacron_str |
FIEP |
institution |
FIEP |
reponame_str |
Brazilian Applied Science Review |
collection |
Brazilian Applied Science Review |
repository.name.fl_str_mv |
Brazilian Applied Science Review - Brazilian Journals Publicações de Periódicos e Editora Ltda |
repository.mail.fl_str_mv |
brazilianasr@yahoo.com || brazilianasr@yahoo.com |
_version_ |
1797240007241498624 |