M. Summerscales

Simulation of covariate and concept drift in machine learning hospital admission prediction from emergency triage

An Extreme Gradient Boosting model is developed using deidentified data from all presentations to a metropolitan hospital in Western Australia to demonstrate the importance of retraining to address drift for temporal model deployment.