Panic Prediction from Digital Phenotyping: Subject-Level Cross-Validation Reveals Limited Between-Person Generalization.

Abstract excerpt

Objectives: A publicly shared digital phenotyping dataset was recently used to train models predicting day-before-panic (DBP) events, reporting a cross-validated receiver operating characteristic area under the curve (ROC-AUC) of around 0.90. Because the stratified five-fold cross-validation (CV) allowed the same participant's days in both training and test folds, it was unclear whether this reflects...

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