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A framework for the oversight and local deployment of safe and high-quality prediction models.
Bedoya, Armando D; Economou-Zavlanos, Nicoleta J; Goldstein, Benjamin A; Young, Allison; Jelovsek, J Eric; O'Brien, Cara; Parrish, Amanda B; Elengold, Scott; Lytle, Kay; Balu, Suresh; Huang, Erich; Poon, Eric G; Pencina, Michael J.
Afiliación
  • Bedoya AD; Department of Medicine, Duke University, Durham, North Carolina, USA.
  • Economou-Zavlanos NJ; Duke University Health System, Durham, North Carolina, USA.
  • Goldstein BA; Duke University School of Medicine, Durham, North Carolina, USA.
  • Young A; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA.
  • Jelovsek JE; Duke University School of Medicine, Durham, North Carolina, USA.
  • O'Brien C; Department of Obstetrics and Gynecology, Duke University, Durham, North Carolina, USA.
  • Parrish AB; Department of Medicine, Duke University, Durham, North Carolina, USA.
  • Elengold S; Duke University Health System, Durham, North Carolina, USA.
  • Lytle K; Duke University School of Medicine, Durham, North Carolina, USA.
  • Balu S; Office of Counsel, Duke University, Durham, North Carolina, USA.
  • Huang E; Duke University Health System, Durham, North Carolina, USA.
  • Poon EG; Duke Institute for Health Innovation, Durham, North Carolina, USA.
  • Pencina MJ; Department of Medicine, Duke University, Durham, North Carolina, USA.
J Am Med Inform Assoc ; 29(9): 1631-1636, 2022 08 16.
Article en En | MEDLINE | ID: mdl-35641123
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Aprendizaje Automático Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Aprendizaje Automático Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido