Impact of the Covid-19 pandemic on the performance of machine learning algorithms for predicting perioperative mortality
Description
CONCLUSIONS: A sudden shift in data impacts model performance. Re-training the model with updated data may cause degradation in predictive accuracy if the changes are only transient. Too early re-training should therefore be avoided, and close model
