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Confounding factors need to be accounted for in assessing bias by machine learning algorithms

Matters Arising to this article was published on 16 June 2022

The Original Article was published on 10 December 2021

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References

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Authors and Affiliations

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Contributions

P.M. contributed to conception, manuscript drafting and manuscript editing. T.C.S. contributed to conception, manuscript drafting and manuscript editing. J.L., T.M. and O.S. performed manuscript drafting and manuscript editing. R.M.S. contributed to conception, manuscript drafting, manuscript editing and supervision.

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Correspondence to Pritam Mukherjee.

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Competing interests

R.M.S. receives royalties for patents or software licenses from iCAD, Philips, PingAn, ScanMed and Translation Holdings. The laboratory of R.M.S. receives research support through a Cooperative Research and Development Agreement from PingAn. All other authors declare no competing interests.

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Mukherjee, P., Shen, T.C., Liu, J. et al. Confounding factors need to be accounted for in assessing bias by machine learning algorithms. Nat Med 28, 1159–1160 (2022). https://doi.org/10.1038/s41591-022-01847-7

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  • DOI: https://doi.org/10.1038/s41591-022-01847-7

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