Randomness from model optimization and initialization causes individual risk predictions in flexible ML models to vary as much as resampling the full training data, potentially flipping clinical decisions near thresholds.
An international randomized trial comparing four thrombolytic strategies for acute myocardial infarction.The New England Journal of Medicine, 329(10):673–682
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Diagnostics for Individual-Level Prediction Instability in Machine Learning for Healthcare
Randomness from model optimization and initialization causes individual risk predictions in flexible ML models to vary as much as resampling the full training data, potentially flipping clinical decisions near thresholds.