Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks

Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi

Abstract: When training clinical prediction models from electronic health records (EHRs), a key concern should be a model’s ability to sustain performance over time when deployed, even as care practices, dat...