COVID-19 Pandemic: How Artificial Intelligence can help us?/Pandemia de COVID-19: Como a Inteligência Artificial pode nos ajudar?

Detalhes bibliográficos
Autor(a) principal: Motta, Oswaldo Jesus Rodrigues da
Data de Publicação: 2020
Outros Autores: Machado, Gabriel Resende, Gomes, Andréia Patrícia, Nas, Elen, Silva, Eugênio, Goldschmidt, Ronaldo Ribeiro, Batista, Rodrigo Siqueira-
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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spelling 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
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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
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