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How to remove or control confounds in predictive models, with applications to brain biomarkers

BACKGROUND: With increasing data sizes and more easily available computational methods, neurosciences rely more and more on predictive modeling with machine learning, e.g., to extract disease biomarkers. Yet, a successful prediction may capture a confounding effect correlated with the outcome instea...

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Detalles Bibliográficos
Autores principales: Chyzhyk, Darya, Varoquaux, Gaël, Milham, Michael, Thirion, Bertrand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917515/
https://www.ncbi.nlm.nih.gov/pubmed/35277962
http://dx.doi.org/10.1093/gigascience/giac014