Diagnosing Low-Confidence Patient Profiles via Localized Harmful Covariate Shift Detection

Before deploying clinical prediction models, their reliability must be assessed to ensure safe use. Errors may arise from distribution shifts between training and deployment or from heterogeneous performance where the model systematically underperforms for certain patient subgroups. Yet most post-ho