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Predicting and explaining social isolation: insights from an interpretable machine learning model in ageing populations
0
Zitationen
4
Autoren
2025
Jahr
Abstract
With multimodal data, the GBM outperformed existing models for identifying social isolation risk. Its interpretability highlights actionable and potentially reversible targets, especially at community and environmental levels.
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