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Going beyond the means: Exploring the role of bias from digital determinants of health in technologies.
Charpignon, Marie-Laure; Carrel, Adrien; Jiang, Yihang; Kwaga, Teddy; Cantada, Beatriz; Hyslop, Terry; Cox, Christopher E; Haines, Krista; Koomson, Valencia; Dumas, Guillaume; Morley, Michael; Dunn, Jessilyn; Ian Wong, An-Kwok.
Afiliação
  • Charpignon ML; Massachusetts Institute of Technology; Institute for Data, Systems, and Society; Laboratory for Information and Decision Systems, Boston, Massachusetts, United States of America.
  • Carrel A; CentraleSupélec, Université Paris-Saclay, Gif-sur-Yvette, France.
  • Jiang Y; Imperial College London, London, United Kingdom.
  • Kwaga T; Duke University, Pratt School of Engineering, Department of Biomedical Engineering, Durham, North Carolina, United States of America.
  • Cantada B; Mbarara University of Science and Technology, Department of Ophthalmology, Mbarara, Uganda.
  • Hyslop T; Massachusetts Institute of Technology; Institute Community and Equity Office, Boston, Massachusetts, United States of America.
  • Cox CE; Duke University, Department of Biostatistics and Bioinformatics, Durham, North Carolina, United States of America.
  • Haines K; Duke University, Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Durham, North Carolina, United States of America.
  • Koomson V; Duke University, Department of Surgery, Durham, North Carolina, United States of America.
  • Dumas G; Tufts University, Department of Electrical and Computer Engineering, Boston, Massachusetts, United States of America.
  • Morley M; CHU Sainte-Justine Research Center, Department of Psychiatry, Université de Montréal, Montréal, Quebec, Canada.
  • Dunn J; Mila-Quebec AI Institute, University of Montreal, Montréal, Quebec, Canada.
  • Ian Wong AK; Ophthalmic Consultants of Boston, Boston, Massachusetts, United States of America.
PLOS Digit Health ; 2(10): e0000244, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37824494

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article