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Predicting prognosis in COVID-19 patients using machine learning and readily available clinical data.
Campbell, Thomas W; Wilson, Melissa P; Roder, Heinrich; MaWhinney, Samantha; Georgantas, Robert W; Maguire, Laura K; Roder, Joanna; Erlandson, Kristine M.
Afiliação
  • Campbell TW; Biodesix, United States. Electronic address: thomas.campbell@biodesix.com.
  • Wilson MP; Department of Medicine, Division of Personalized Medicine and Bioinformatics, University of Colorado-Anschutz Medical Campus, Aurora, CO, United States.
  • Roder H; Biodesix, United States.
  • MaWhinney S; Department of Biostatistics and Informatics, University of Colorado, Colorado School of Public Health, United States.
  • Georgantas RW; Biodesix, United States.
  • Maguire LK; Biodesix, United States.
  • Roder J; Biodesix, United States.
  • Erlandson KM; Department of Medicine, Division of Infectious Diseases, University of Colorado-Anschutz Medical Campus, Aurora, CO, United States.
Int J Med Inform ; 155: 104594, 2021 11.
Article em En | MEDLINE | ID: mdl-34601240
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article