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Distributional Transformation Improves Decoding Accuracy When Predicting Chronological Age From Structural MRI
When predicting a certain subject-level variable (e.g., age in years) from measured biological data (e.g., structural MRI scans), the decoding algorithm does not always preserve the distribution of the variable to predict. In such a situation, distributional transformation (DT), i.e., mapping the pr...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7752921/ https://www.ncbi.nlm.nih.gov/pubmed/33363488 http://dx.doi.org/10.3389/fpsyt.2020.604268 |