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A Bayesian analysis of strategies to rule out COVID19 using reverse transcriptase-polymerase chain reaction (RT-PCR).
Raschke, Robert A; Curry, Steven C; Glenn, Tyler; Gutierrez, Felipe; Iyengar, Sriram.
Afiliação
  • Raschke RA; Division of Clinical Data Analytics and Decision Support (Dr. Raschke, Dr. Curry, Dr. Iyengar), Department of Medicine (Dr Raschke, Dr. Curry, Dr. Gutierrez, Dr. Iyengar), University of Arizona College of Medicine - Phoenix, Phoenix, AZ; Medical/Surgical Intensive Care Unit, Honorhealth Osborn Medic
  • Curry SC; Division of Clinical Data Analytics and Decision Support (Dr. Raschke, Dr. Curry, Dr. Iyengar), Department of Medicine (Dr Raschke, Dr. Curry, Dr. Gutierrez, Dr. Iyengar), University of Arizona College of Medicine - Phoenix, Phoenix, AZ; Medical/Surgical Intensive Care Unit, Honorhealth Osborn Medic
  • Glenn T; Division of Clinical Data Analytics and Decision Support (Dr. Raschke, Dr. Curry, Dr. Iyengar), Department of Medicine (Dr Raschke, Dr. Curry, Dr. Gutierrez, Dr. Iyengar), University of Arizona College of Medicine - Phoenix, Phoenix, AZ; Medical/Surgical Intensive Care Unit, Honorhealth Osborn Medic
  • Gutierrez F; Division of Clinical Data Analytics and Decision Support (Dr. Raschke, Dr. Curry, Dr. Iyengar), Department of Medicine (Dr Raschke, Dr. Curry, Dr. Gutierrez, Dr. Iyengar), University of Arizona College of Medicine - Phoenix, Phoenix, AZ; Medical/Surgical Intensive Care Unit, Honorhealth Osborn Medic
  • Iyengar S; Division of Clinical Data Analytics and Decision Support (Dr. Raschke, Dr. Curry, Dr. Iyengar), Department of Medicine (Dr Raschke, Dr. Curry, Dr. Gutierrez, Dr. Iyengar), University of Arizona College of Medicine - Phoenix, Phoenix, AZ; Medical/Surgical Intensive Care Unit, Honorhealth Osborn Medic
Arch Pathol Lab Med ; 2020 Apr 27.
Article em En | MEDLINE | ID: mdl-32338536
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article