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Interpretable machine learning for precision cognitive aging
1
Zitationen
5
Autoren
2025
Jahr
Abstract
These findings highlight EBM's potential in cognitive aging research, offering both interpretability and accuracy to inform personalized strategies for mitigating cognitive decline. By bridging the gap between explainability and performance, this study advances the use of XAI in healthcare and cognitive aging research.
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