Equity in essence: a call for operationalising fairness in machine learning for healthcare

Author(s)
Wawira Gichoya, Judy; McCoy, Liam G; Celi, Leo Anthony G.; Ghassemi, Marzyeh
Thumbnail
Downloade100289.full.pdf (252.7Kb)
Publisher with Creative Commons License
Terms of use
Creative Commons Attribution NonCommercial License 4.0 https://creativecommons.org/licenses/by-nc/4.0/
Metadata
Show full item record
Date issued
2021-04
URI
https://hdl.handle.net/1721.1/132648
Department
Harvard University--MIT Division of Health Sciences and Technology
Journal
BMJ Health and Care Informatics
Publisher
BMJ
Citation
Wawira Gichoya, Judy et al. "Equity in essence: a call for operationalising fairness in machine learning for healthcare." BMJ Health and Care Informatics 28, 1 (April 2021): e100289. ©2021 The Author(s)
Version: Final published version
ISSN
2632-1009
Collections