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Supervised Domain Adaptation Mitigates Cross-Ethnicity Prediction Error in Neuroimaging-Based Cognitive Prediction

2026-05-28

Abstract excerpt

Machine-learning models are increasingly used to predict cognitive and clinical outcomes from neuroimaging data, yet challenges in fairness and generalizability remain. Large-scale datasets are often racially and ethnically imbalanced, leading to systematic performance disparities, with models typically achieving higher accuracy for majority populations represented in the training data. In this study, we evaluated...

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Literature Corpus work
e677a860-37a3-5170-b8b7-e1b6fb660032
DOI
10.64898/2026.05.25.727742
Open publication

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Supervised Domain Adaptation Mitigates Cross-Ethnicity Prediction Error in Neuroimaging-Based Cognitive PredictionDOI 10.64898/2026.05.25.727742
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