Mitigating bias in machine learning for medicine

Several sources of bias can affect the performance of machine learning systems used in medicine and potentially impact clinical care. Here, we discuss solutions to mitigate bias across the different development steps of machine learning-based systems for medical applications.

Detalles Bibliográficos
Autores principales: Vokinger, Kerstin N., Feuerriegel, Stefan, Kesselheim, Aaron S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7611652/
https://www.ncbi.nlm.nih.gov/pubmed/34522916
http://dx.doi.org/10.1038/s43856-021-00028-w
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author Vokinger, Kerstin N.
Feuerriegel, Stefan
Kesselheim, Aaron S.
author_facet Vokinger, Kerstin N.
Feuerriegel, Stefan
Kesselheim, Aaron S.
author_sort Vokinger, Kerstin N.
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description Several sources of bias can affect the performance of machine learning systems used in medicine and potentially impact clinical care. Here, we discuss solutions to mitigate bias across the different development steps of machine learning-based systems for medical applications.
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spelling pubmed-76116522021-09-13 Mitigating bias in machine learning for medicine Vokinger, Kerstin N. Feuerriegel, Stefan Kesselheim, Aaron S. Commun Med (Lond) Comment Several sources of bias can affect the performance of machine learning systems used in medicine and potentially impact clinical care. Here, we discuss solutions to mitigate bias across the different development steps of machine learning-based systems for medical applications. Nature Publishing Group UK 2021-08-23 /pmc/articles/PMC7611652/ /pubmed/34522916 http://dx.doi.org/10.1038/s43856-021-00028-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Comment
Vokinger, Kerstin N.
Feuerriegel, Stefan
Kesselheim, Aaron S.
Mitigating bias in machine learning for medicine
title Mitigating bias in machine learning for medicine
title_full Mitigating bias in machine learning for medicine
title_fullStr Mitigating bias in machine learning for medicine
title_full_unstemmed Mitigating bias in machine learning for medicine
title_short Mitigating bias in machine learning for medicine
title_sort mitigating bias in machine learning for medicine
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7611652/
https://www.ncbi.nlm.nih.gov/pubmed/34522916
http://dx.doi.org/10.1038/s43856-021-00028-w
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