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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.

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Detalhes bibliográficos
Publicado no:Commun Med (Lond)
Main Authors: Vokinger, Kerstin N., Feuerriegel, Stefan, Kesselheim, Aaron S.
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7611652/
https://ncbi.nlm.nih.gov/pubmed/34522916
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s43856-021-00028-w
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