Confound-leakage: confound removal in machine learning leads to leakage

BACKGROUND: Machine learning (ML) approaches are a crucial component of modern data analysis in many fields, including epidemiology and medicine. Nonlinear ML methods often achieve accurate predictions, for instance, in personalized medicine, as they are capable of modeling complex relationships bet...

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Detalles Bibliográficos
Autores principales: Hamdan, Sami, Love, Bradley C, von Polier, Georg G, Weis, Susanne, Schwender, Holger, Eickhoff, Simon B, Patil, Kaustubh R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541796/
https://www.ncbi.nlm.nih.gov/pubmed/37776368
http://dx.doi.org/10.1093/gigascience/giad071

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541796/
https://www.ncbi.nlm.nih.gov/pubmed/37776368
http://dx.doi.org/10.1093/gigascience/giad071

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