A new set of ten kernel-smoothed metrics evaluates temporal preservation in synthetic longitudinal patient data, showing that marginal resemblance alone can mask covariance and trajectory failures.
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Evaluation metrics for temporal preservation in synthetic longitudinal patient data
A new set of ten kernel-smoothed metrics evaluates temporal preservation in synthetic longitudinal patient data, showing that marginal resemblance alone can mask covariance and trajectory failures.