Interpretable machine learning for cognitive impairment prediction in Parkinson's disease: a multicenter validation study with SHAP analysis.
Introduction: Parkinson's disease (PD)-related cognitive impairment (PD-CI) is a common and impactful complication of PD, yet current predictive models often rely on specialized resources, lack interpretability, or have limited cross-population validation. This study aimed to develop an interpretabl...
| Published in: | Frontiers in Aging Neuroscience pp. 1 - 14 |
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| Main Authors: | , |
| Format: | research tables/charts Journal Article |
| Published: |
Frontiers Media S.A.
2025
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| Online Access: | View this record in EBSCOhost |