Systematic evaluation of machine learning algorithms for neuroanatomically‐based age prediction in youth

Application of machine learning (ML) algorithms to structural magnetic resonance imaging (sMRI) data has yielded behaviorally meaningful estimates of the biological age of the brain (brain‐age). The choice of the ML approach in estimating brain‐age in youth is important because age‐related brain cha...

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Detalles Bibliográficos
Autores principales: Modabbernia, Amirhossein, Whalley, Heather C., Glahn, David C., Thompson, Paul M., Kahn, Rene S., Frangou, Sophia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Technical Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9812239/
https://www.ncbi.nlm.nih.gov/pubmed/35852028
http://dx.doi.org/10.1002/hbm.26010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9812239/
https://www.ncbi.nlm.nih.gov/pubmed/35852028
http://dx.doi.org/10.1002/hbm.26010

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