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cs.LG2024
AMUSE: Adaptive Model Updating using a Simulated Environment
Louis Chislett, Catalina A. Vallejos, Timothy I. Cannings +1
Prediction models frequently face the challenge of concept drift, in which the underlying data distribution changes over time, weakening performance. Examples can include models wh…
cs.LG2024
Ethical considerations of use of hold-out sets in clinical prediction model management
Louis Chislett, Louis JM Aslett, Alisha R Davies +2
Clinical prediction models are statistical or machine learning models used to quantify the risk of a certain health outcome using patient data. These can then inform potential inte…