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Accurate sex prediction of cisgender and transgender individuals without brain size bias

Abstract The increasing use of machine learning approaches on neuroimaging data comes with the important concern of confounding variables which might lead to biased predictions and in turn spurious conclusions about the relationship between the features and the target. A prominent example is the bra...

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Principais autores: Lisa Wiersch, Sami Hamdan, Felix Hoffstaedter, Mikhail Votinov, Ute Habel, Benjamin Clemens, Birgit Derntl, Simon B. Eickhoff, Kaustubh R. Patil, Susanne Weis
Formato: Artigo
Idioma:Inglês
Publicado: Nature Portfolio 2023-08-01
Series:Scientific Reports
Acceso en liña:https://doi.org/10.1038/s41598-023-37508-z
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