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A rapid review of machine learning approaches for telemedicine in the scope of COVID-19.

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Title: A rapid review of machine learning approaches for telemedicine in the scope of COVID-19.
Authors: Schünke, Luana Carine1, lcschunke@edu.unisinos.br, Mello, Blanda1, blanda@edu.unisinos.br, da Costa, Cristiano André1, cac@unisinos.br, Antunes, Rodolfo Stoffel1, rsantunes@unisinos.br, Rigo, Sandro José1, rigo@unisinos.br, Ramos, Gabriel de Oliveira1, gdoramos@unisinos.br, Righi, Rodrigo da Rosa1, rrrighi@unisinos.br, Scherer, Juliana Nichterwitz2, julianascherer@unisinos.br, Donida, Bruna3, bruna.donida@ghc.com.br
Source: Artificial Intelligence in Medicine; Jul2022, Vol. 129, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 157218291
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=157218291
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.artmed.2022.102312
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      – Code: eng
        Text: English
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      – TitleFull: A rapid review of machine learning approaches for telemedicine in the scope of COVID-19.
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            NameFull: Schünke, Luana Carine
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            NameFull: Mello, Blanda
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            – D: 01
              M: 07
              Text: Jul2022
              Type: published
              Y: 2022
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              Value: 09333657
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              Value: 129
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            – TitleFull: Artificial Intelligence in Medicine
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