Predicting sex, age, general cognition and mental health with machine learning on brain structural connectomes

There is an increasing expectation that advanced, computationally expensive machine learning (ML) techniques, when applied to large population‐wide neuroimaging datasets, will help to uncover key differences in the human brain in health and disease. We take a comprehensive approach to explore how mu...

Descripción completa

Detalles Bibliográficos
Autores principales: Yeung, Hon Wah, Stolicyn, Aleks, Buchanan, Colin R., Tucker‐Drob, Elliot M., Bastin, Mark E., Luz, Saturnino, McIntosh, Andrew M., Whalley, Heather C., Cox, Simon R., Smith, Keith
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/PMC9980898/
https://www.ncbi.nlm.nih.gov/pubmed/36541441
http://dx.doi.org/10.1002/hbm.26182

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980898/
https://www.ncbi.nlm.nih.gov/pubmed/36541441
http://dx.doi.org/10.1002/hbm.26182

Ejemplares similares