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Ensuring machine learning for healthcare works for all

Authors

  • Liam G McCoy Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, CanadaInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada PubMed articlesGoogle scholar articles
  • John D Banja Emory Center for Ethics, Emory University, Atlanta, Georgia, USA PubMed articlesGoogle scholar articles
  • Marzyeh Ghassemi Department of Computer Science, University of Toronto, Toronto, Ontario, CanadaDepartment of Medicine, University of Toronto, Toronto, Ontario, CanadaVector Institute for Artificial Intelligence, Toronto, Ontario, Canada PubMed articlesGoogle scholar articles
  • Leo Anthony Celi Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USADivision of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USADepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States PubMed articlesGoogle scholar articles
  1. Correspondence to Liam G McCoy; liam.mccoy{at}mail.utoronto.ca

Citation

McCoy LG, Banja JD, Ghassemi M, et al
Ensuring machine learning for healthcare works for all
BMJ Health & Care Informatics 2020;27:e100237. doi: 10.1136/bmjhci-2020-100237

Publication history

  • Received September 9, 2020
  • Revision received October 10, 2020
  • Accepted November 2, 2020
  • First published November 24, 2020.
Online issue publication 
April 26, 2022

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© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.