Prediction of clinical depression scores and detection of changes in whole-brain using resting-state...
Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression
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United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Contents
In diagnostic applications of statistical machine learning methods to brain imaging data, common problems include data high-dimensionality and co-linearity, which often cause over-fitting and instability. To overcome these problems, we applied partial least squares (PLS) regression to resting-state functional magnetic resonance imaging (rs-fMRI) da...
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Full title
Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression
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TN_cdi_plos_journals_1919516598
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1919516598
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0179638
