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Idiographic Lapse Prediction With State Space Modeling: Algorithm Development and Validation Study

Idiographic Lapse Prediction With State Space Modeling: Algorithm Development and Validation Study

In this approach, the AUROC performance of a model on cross-validation repeat i and test fold j was modeled using a generalized linear model with a logit link function as follows: where bi is a cross-validation repeat intercept, cij is a fold-within-repeat intercept, β is the model type’s mean AUROC performance, and εij is zero-mean Gaussian noise.

Eric Pulick, John Curtin, Yonatan Mintz

JMIR Form Res 2025;9:e73265