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

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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Main Authors: Oualid Benkarim, Casey Paquola, Bo-Yong Park, Valeria Kebets, Seok-Jun Hong, Reinder Vos de Wael, Shaoshi Zhang, B T Thomas Yeo, Michael Eickenberg, Tian Ge, Jean-Baptiste Poline, Boris C Bernhardt, Danilo Bzdok
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-04-01
Series:PLoS Biology
Online Access:https://doi.org/10.1371/journal.pbio.3001627

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https://doi.org/10.1371/journal.pbio.3001627

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