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Benchmarking the generalizability of brain age models: Challenges posed by scanner variance and prediction bias
Machine learning has been increasingly applied to neuroimaging data to predict age, deriving a personalized biomarker with potential clinical applications. The scientific and clinical value of these models depends on their applicability to independently acquired scans from diverse sources. According...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley & Sons, Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875922/ https://www.ncbi.nlm.nih.gov/pubmed/36346213 http://dx.doi.org/10.1002/hbm.26144 |