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Automatic COVID-19 severity assessment from HRV.
Aliani, Cosimo; Rossi, Eva; Luchini, Marco; Calamai, Italo; Deodati, Rossella; Spina, Rosario; Francia, Piergiorgio; Lanata, Antonio; Bocchi, Leonardo.
Afiliação
  • Aliani C; Department of Information Engineering, University of Florence, Florence, Italy. cosimo.aliani@unifi.it.
  • Rossi E; Department of Information Engineering, University of Florence, Florence, Italy.
  • Luchini M; UOs Anesthesiology and Reanimation Unit, San Giuseppe Hospital, Empoli, Italy.
  • Calamai I; UOs Anesthesiology and Reanimation Unit, San Giuseppe Hospital, Empoli, Italy.
  • Deodati R; UOs Anesthesiology and Reanimation Unit, San Giuseppe Hospital, Empoli, Italy.
  • Spina R; UOs Anesthesiology and Reanimation Unit, San Giuseppe Hospital, Empoli, Italy.
  • Francia P; Department of Information Engineering, University of Florence, Florence, Italy.
  • Lanata A; Department of Information Engineering, University of Florence, Florence, Italy.
  • Bocchi L; Department of Information Engineering, University of Florence, Florence, Italy.
Sci Rep ; 13(1): 1713, 2023 01 31.
Article em En | MEDLINE | ID: mdl-36720970
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 / Frequência Cardíaca Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 / Frequência Cardíaca Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article