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ConceptWAS: a high-throughput method for early identification of COVID-19 presenting symptoms.
Zhao, Juan; Grabowska, Monika E; Kerchberger, Vern Eric; Smith, Joshua C; Eken, H Nur; Feng, QiPing; Peterson, Josh F; Rosenbloom, S Trent; Johnson, Kevin B; Wei, Wei-Qi.
  • Zhao J; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.
  • Grabowska ME; Medical Scientist Training Program, Vanderbilt University School of Medicine, Nashville, TN.
  • Kerchberger VE; Department of Medicine, Division of Allergy, Pulmonary & Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN.
  • Smith JC; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.
  • Eken HN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.
  • Feng Q; Vanderbilt University School of Medicine, Nashville, TN.
  • Peterson JF; Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
  • Rosenbloom ST; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.
  • Johnson KB; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.
  • Wei WQ; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.
medRxiv ; 2020 Nov 10.
Article en En | MEDLINE | ID: mdl-33200151
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Año: 2020 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Año: 2020 Tipo del documento: Article