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Ubuntu as a complementary perspective for addressing epistemic (in)justice in medical machine learning

Brandon Ferlito (UGent) and Michiel De Proost (UGent)
(2023) JOURNAL OF MEDICAL ETHICS. 49(8). p.545-546
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Keywords
ethics, philosophy- medical, ethics- medical

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Please use this url to cite or link to this publication:

MLA
Ferlito, Brandon, and Michiel De Proost. “Ubuntu as a Complementary Perspective for Addressing Epistemic (in)Justice in Medical Machine Learning.” JOURNAL OF MEDICAL ETHICS, vol. 49, no. 8, 2023, pp. 545–46, doi:10.1136/jme-2023-109097.
APA
Ferlito, B., & De Proost, M. (2023). Ubuntu as a complementary perspective for addressing epistemic (in)justice in medical machine learning. https://doi.org/10.1136/jme-2023-109097
Chicago author-date
Ferlito, Brandon, and Michiel De Proost. 2023. “Ubuntu as a Complementary Perspective for Addressing Epistemic (in)Justice in Medical Machine Learning.” JOURNAL OF MEDICAL ETHICS. https://doi.org/10.1136/jme-2023-109097.
Chicago author-date (all authors)
Ferlito, Brandon, and Michiel De Proost. 2023. “Ubuntu as a Complementary Perspective for Addressing Epistemic (in)Justice in Medical Machine Learning.” JOURNAL OF MEDICAL ETHICS. doi:10.1136/jme-2023-109097.
Vancouver
1.
Ferlito B, De Proost M. Ubuntu as a complementary perspective for addressing epistemic (in)justice in medical machine learning. Vol. 49, JOURNAL OF MEDICAL ETHICS. 2023. p. 545–6.
IEEE
[1]
B. Ferlito and M. De Proost, “Ubuntu as a complementary perspective for addressing epistemic (in)justice in medical machine learning,” JOURNAL OF MEDICAL ETHICS, vol. 49, no. 8. pp. 545–546, 2023.
@misc{01H7JGV3HQBTMP4HA1PKAK5ZX3,
  author       = {{Ferlito, Brandon and De Proost, Michiel}},
  issn         = {{0306-6800}},
  keywords     = {{ethics,philosophy- medical,ethics- medical}},
  language     = {{eng}},
  number       = {{8}},
  pages        = {{545--546}},
  series       = {{JOURNAL OF MEDICAL ETHICS}},
  title        = {{Ubuntu as a complementary perspective for addressing epistemic (in)justice in medical machine learning}},
  url          = {{http://doi.org/10.1136/jme-2023-109097}},
  volume       = {{49}},
  year         = {{2023}},
}

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