Schuessler at al. present a diagnostic framework for the local and temporal validation of clinical machine learning models and use to predict acute care utilization in cancer patients. It encompasses model performance evaluation, temporal evolution of features and outcomes, training schedules, and strategies for data reduction and valuation.
- Maximilian Schuessler
- Scott Fleming
- Tina Hernandez-Boussard
