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...

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Detalles Bibliográficos
Autores principales: Jirsaraie, Robert J., Kaufmann, Tobias, Bashyam, Vishnu, Erus, Guray, Luby, Joan L., Westlye, Lars T., Davatzikos, Christos, Barch, Deanna M., Sotiras, Aristeidis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Research Articles
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

Internet

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

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