Machine-learning survival analysis predicts long-term depression risk in Parkinson's disease, suggesting early management benefits.
An explainable survival model and integer-based risk score using routinely collected measures predicted long-term dPD progression and enabled pragmatic risk stratification to support early, personalized management.
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Liu et al. (2026) studied this question.
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