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Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression
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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507488/ https://www.ncbi.nlm.nih.gov/pubmed/28700672 http://dx.doi.org/10.1371/journal.pone.0179638 |