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Algorithmic fairness in pandemic forecasting: lessons from COVID-19.
Tsai, Thomas C; Arik, Sercan; Jacobson, Benjamin H; Yoon, Jinsung; Yoder, Nate; Sava, Dario; Mitchell, Margaret; Graham, Garth; Pfister, Tomas.
Afiliación
  • Tsai TC; Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA. ttsai@bwh.harvard.edu.
  • Arik S; Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA. ttsai@bwh.harvard.edu.
  • Jacobson BH; Google Inc., Mountain View, CA, USA.
  • Yoon J; Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Yoder N; Stanford University School of Medicine, Stanford, CA, USA.
  • Sava D; Google Inc., Mountain View, CA, USA.
  • Mitchell M; Google Inc., Mountain View, CA, USA.
  • Graham G; Google Inc., Mountain View, CA, USA.
  • Pfister T; Google Inc., Mountain View, CA, USA.
NPJ Digit Med ; 5(1): 59, 2022 May 10.
Article en En | MEDLINE | ID: mdl-35538215
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: NPJ Digit Med Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: NPJ Digit Med Año: 2022 Tipo del documento: Article