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- W4288384229 abstract "Abstract Brain size differs substantially between human males and females. This difference in total intracranial volume (TIV) can cause bias when employing machine-learning approaches for the investigation of sex differences in brain morphology. TIV-biased models will likely not capture actual qualitative sex differences in brain organization but rather learn to classify an individual’s sex based on brain size differences, thus leading to spurious and misleading conclusions, for example when comparing brain morphology between cisgender- and transgender individuals. Here, TIV bias in sex classification models applied to cis- and transgender individuals was systematically investigated by controlling for brain size either through featurewise confound removal or by matching training samples for TIV. Our results provide evidence that non-TIV-biased models can classify the sex of both cis- and transgender individuals with high accuracy, highlighting the importance of appropriate modelling to avoid bias in automated decision making. Teaser Accurate non-biased structural sex classification in cis- and transgender individuals by matching training samples for TIV" @default.
- W4288384229 created "2022-07-29" @default.
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- W4288384229 date "2022-07-28" @default.
- W4288384229 modified "2023-10-17" @default.
- W4288384229 title "Accurate sex prediction of cisgender and transgender individuals without brain size bias" @default.
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- W4288384229 cites W2087347434 @default.
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- W4288384229 cites W2096101299 @default.
- W4288384229 cites W2096966803 @default.
- W4288384229 cites W2098924369 @default.
- W4288384229 cites W2106113519 @default.
- W4288384229 cites W2107287771 @default.
- W4288384229 cites W2108731561 @default.
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- W4288384229 doi "https://doi.org/10.1101/2022.07.26.499576" @default.
- W4288384229 hasPublicationYear "2022" @default.
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