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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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Kerstin Noëlle Vokinger
Stefan Feuerriegel
Aaron S. Kesselheim
Communications Medicine
Harvard University
Brigham and Women's Hospital
ETH Zurich
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Vokinger et al. (Mon,) studied this question.
www.synapsesocial.com/papers/69d7b8531f14cb2b27b8a8af — DOI: https://doi.org/10.1038/s43856-021-00028-w