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Mjaye Mazwi · Study

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Mjaye Mazwi

3 works· latest 2023· 1 institutionscluster: provisionalORCID 0000-0003-1345-5429

h-index3

i103

Citations434

Works here3

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23

Most cited in this library

Ethical limitations of algorithmic fairness solutions in health care machine learning2020 · 290 citations
Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning2020 · 111 citations
What's fair is… fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning2023 · 33 citations

Works

3 shown

What's fair is… fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning

ACM Conference on Fairness, Accountability, and Transparency (FAccT)·2023·15 authors·other·Open access

33citations

Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning

Journal of the American Medical Informatics Association·2020·5 authors·Open access

111citations

Ethical limitations of algorithmic fairness solutions in health care machine learning

The Lancet Digital Health·2020·3 authors·Open access

290citations