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...
| Main Authors: | , , , , , , , , , , , , |
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| פורמט: | Article |
| שפה: | English |
| יצא לאור: |
Public Library of Science (PLoS)
2022-04-01
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| סדרה: | PLoS Biology |
| גישה מקוונת: | https://doi.org/10.1371/journal.pbio.3001627 |