Ensuring machine learning for healthcare works for all
National Institute of Health (Grant R01-EB017205)
Main Authors: | McCoy, Liam G (Author), Banja, John D (Author), Ghassemi, Marzyeh (Author), Celi, Leo Anthony G. (Author) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Institute for Medical Engineering & Science (Contributor), Harvard- (Contributor) |
Format: | Article |
Language: | English |
Published: |
BMJ,
2020-12-11T19:50:44Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Ensuring machine learning for healthcare works for all
by: John D Banja, et al.
Published: (2020-08-01) -
Equity in essence: a call for operationalising fairness in machine learning for healthcare
by: Leo Anthony Celi, et al.
Published: (2021-07-01) -
Equity in essence: a call for operationalising fairness in machine learning for healthcare
by: Wawira Gichoya, Judy, et al.
Published: (2021) -
The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data
by: Citi, Luca, et al.
Published: (2019) -
The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data.
by: Leo A Celi, et al.
Published: (2019-01-01)