An automated machine learning approach to predict brain age from cortical anatomical measures

The use of machine learning (ML) algorithms has significantly increased in neuroscience. However, from the vast extent of possible ML algorithms, which one is the optimal model to predict the target variable? What are the hyperparameters for such a model? Given the plethora of possible answers to th...

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Detalles Bibliográficos
Autores principales: Dafflon, Jessica, Pinaya, Walter H. L., Turkheimer, Federico, Cole, James H., Leech, Robert, Harris, Mathew A., Cox, Simon R., Whalley, Heather C., McIntosh, Andrew M., Hellyer, Peter J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416036/
https://www.ncbi.nlm.nih.gov/pubmed/32415917
http://dx.doi.org/10.1002/hbm.25028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416036/
https://www.ncbi.nlm.nih.gov/pubmed/32415917
http://dx.doi.org/10.1002/hbm.25028

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