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When Participant Disjoint Validation Is Not Enough to Establish Generalization in Parkinson's Gait Classification

L5 · ResearcherResearcharXiv· 10/12/2026

Critical methodological insight for ML researchers working on healthcare applications with multi-site data.

AI Summary

Research paper demonstrates that participant-disjoint validation can produce overly optimistic results in Parkinson's gait classification due to site-label dependencies.

Excerpt

Participant-disjoint cross-validation prevents direct participant overlap, but it may still produce optimistic estimates when acquisition site and diagnosis are structurally dependent. We examined Parkinson's disease classification using 159 pressure-walkway summary features from 133 WearGait-PD participants, including 65 participants with Parkinson's disease and 68 controls. The cohort was non-factorial: two sites contained only one diagnostic group, whereas VA-Seattle was the only site contain

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