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Identifying Patient Phenotype Cohorts Using Prehospital Electronic Health Record Data.
Stemerman, Rachel; Bunning, Thomas; Grover, Joseph; Kitzmiller, Rebecca; Patel, Mehul D.
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  • Stemerman R; Received November 19, 2020 from Carolina Health Informatics Program, University of North Carolina, Chapel Hill, North Carolina (RS, RK); Department of Anesthesiology, Duke University Medical Center, Durham, North Carolina (TB); Department of Emergency Medicine, University of North Carolina, Chapel H
  • Bunning T; Received November 19, 2020 from Carolina Health Informatics Program, University of North Carolina, Chapel Hill, North Carolina (RS, RK); Department of Anesthesiology, Duke University Medical Center, Durham, North Carolina (TB); Department of Emergency Medicine, University of North Carolina, Chapel H
  • Grover J; Received November 19, 2020 from Carolina Health Informatics Program, University of North Carolina, Chapel Hill, North Carolina (RS, RK); Department of Anesthesiology, Duke University Medical Center, Durham, North Carolina (TB); Department of Emergency Medicine, University of North Carolina, Chapel H
  • Kitzmiller R; Received November 19, 2020 from Carolina Health Informatics Program, University of North Carolina, Chapel Hill, North Carolina (RS, RK); Department of Anesthesiology, Duke University Medical Center, Durham, North Carolina (TB); Department of Emergency Medicine, University of North Carolina, Chapel H
  • Patel MD; Received November 19, 2020 from Carolina Health Informatics Program, University of North Carolina, Chapel Hill, North Carolina (RS, RK); Department of Anesthesiology, Duke University Medical Center, Durham, North Carolina (TB); Department of Emergency Medicine, University of North Carolina, Chapel H
Prehosp Emerg Care ; : 1-14, 2021 Jan 25.
Article en En | MEDLINE | ID: mdl-33315497
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Prehosp Emerg Care Asunto de la revista: MEDICINA DE EMERGENCIA Año: 2021 Tipo del documento: Article
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Prehosp Emerg Care Asunto de la revista: MEDICINA DE EMERGENCIA Año: 2021 Tipo del documento: Article