Population heterogeneity in clinical cohorts affects the predictive accuracy of brain imaging

Brain imaging research enjoys increasing adoption of supervised machine learning for single-participant disease classification. Yet, the success of these algorithms likely depends on population diversity, including demographic differences and other factors that may be outside of primary scientific i...

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Detalles Bibliográficos
Autores principales: Benkarim, Oualid, Paquola, Casey, Park, Bo-yong, Kebets, Valeria, Hong, Seok-Jun, Vos de Wael, Reinder, Zhang, Shaoshi, Yeo, B. T. Thomas, Eickenberg, Michael, Ge, Tian, Poline, Jean-Baptiste, Bernhardt, Boris C., Bzdok, Danilo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094526/
https://www.ncbi.nlm.nih.gov/pubmed/35486643
http://dx.doi.org/10.1371/journal.pbio.3001627

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094526/
https://www.ncbi.nlm.nih.gov/pubmed/35486643
http://dx.doi.org/10.1371/journal.pbio.3001627

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