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Quantifying performance of machine learning methods for neuroimaging data

Machine learning is increasingly being applied to neuroimaging data. However, most machine learning algorithms have not been designed to accommodate neuroimaging data, which typically has many more data points than subjects, in addition to multicollinearity and low signal-to-noise. Consequently, the...

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Dades bibliogràfiques
Publicat a:Neuroimage
Autors principals: Jollans, Lee, Boyle, Rory, Artiges, Eric, Banaschewski, Tobias, Desrivières, Sylvane, Grigis, Antoine, Martinot, Jean-Luc, Paus, Tomáš, Smolka, Michael N., Walter, Henrik, Schumann, Gunter, Garavan, Hugh, Whelan, Robert
Format: Artigo
Idioma:Inglês
Publicat: 2019
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6688909/
https://ncbi.nlm.nih.gov/pubmed/31173905
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2019.05.082
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