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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Bibliografiska uppgifter
I publikationen:Neuroimage
Huvudupphovsmän: 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
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2019
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Article
Länkar: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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