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COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation.
Sankaranarayanan, Saranya; Balan, Jagadheshwar; Walsh, Jesse R; Wu, Yanhong; Minnich, Sara; Piazza, Amy; Osborne, Collin; Oliver, Gavin R; Lesko, Jessica; Bates, Kathy L; Khezeli, Kia; Block, Darci R; DiGuardo, Margaret; Kreuter, Justin; O'Horo, John C; Kalantari, John; Klee, Eric W; Salama, Mohamed E; Kipp, Benjamin; Morice, William G; Jenkinson, Garrett.
Afiliação
  • Sankaranarayanan S; Mayo Clinic, Rochester, MN, United States.
  • Balan J; Mayo Clinic, Rochester, MN, United States.
  • Walsh JR; Mayo Clinic, Rochester, MN, United States.
  • Wu Y; Mayo Clinic, Rochester, MN, United States.
  • Minnich S; Mayo Clinic, Rochester, MN, United States.
  • Piazza A; Mayo Clinic, Rochester, MN, United States.
  • Osborne C; Mayo Clinic, Rochester, MN, United States.
  • Oliver GR; Mayo Clinic, Rochester, MN, United States.
  • Lesko J; Mayo Clinic, Rochester, MN, United States.
  • Bates KL; Mayo Clinic, Rochester, MN, United States.
  • Khezeli K; Mayo Clinic, Rochester, MN, United States.
  • Block DR; Mayo Clinic, Rochester, MN, United States.
  • DiGuardo M; Mayo Clinic, Rochester, MN, United States.
  • Kreuter J; Mayo Clinic, Rochester, MN, United States.
  • O'Horo JC; Mayo Clinic, Rochester, MN, United States.
  • Kalantari J; Mayo Clinic, Rochester, MN, United States.
  • Klee EW; Mayo Clinic, Rochester, MN, United States.
  • Salama ME; Mayo Clinic, Rochester, MN, United States.
  • Kipp B; Mayo Clinic, Rochester, MN, United States.
  • Morice WG; Mayo Clinic, Rochester, MN, United States.
  • Jenkinson G; Mayo Clinic, Rochester, MN, United States.
J Med Internet Res ; 23(9): e30157, 2021 09 28.
Article em En | MEDLINE | ID: mdl-34449401
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Informação em Laboratório Clínico / Aprendizado Profundo / COVID-19 Tipo de estudo: Observational_studies / 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 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Informação em Laboratório Clínico / Aprendizado Profundo / COVID-19 Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article