This paper is in the following e-collection/theme issue:

Reviews on Aging (47) Involvement of Elderly Populations in Health and Health Services Research (44) Digital Health Reviews (1456) Machine Learning (1657) Artificial Intelligence (1633) Information and Patient Education on Healthy Aging (36)

Published on in Vol 7 (2024)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53564, first published .
Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review

Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review

Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review

Authors of this article:

Charlene Chu1, 2, 3, 4 Author Orcid Image ;   Simon Donato-Woodger1 Author Orcid Image ;   Shehroz S Khan2, 5 Author Orcid Image ;   Tianyu Shi1, 6 Author Orcid Image ;   Kathleen Leslie7 Author Orcid Image ;   Samira Abbasgholizadeh-Rahimi8 Author Orcid Image ;   Rune Nyrup9 Author Orcid Image ;   Amanda Grenier10 Author Orcid Image
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New in JMIR Aging: Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review https://t.co/wRAGo05lTO https://t.co/MsVEDpcTLc

2:08 PM · Mar 22, 2024

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RT @jmirpub: New in JMIR Aging: Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review https://t.co/wRAGo05lTO https:/…

2:09 PM · Mar 22, 2024

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Check out this fascinating article by @jmirpub! https://t.co/QfYauupkjk

5:05 PM · Sep 17, 2024

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