Drift in Clinical Prediction Models

We aim to systematically review literature on any form of drift in medical prediction models, creating an overview of the terminology researchers use to describe which types of drift. Specifically, we seek to identify which phenomena researchers refer to as drift and assess how these descriptions relate to existing ML drift taxonomies. This overview will support clearer terminology and provide guidance on what can be investigated under different types of drift.