Extended Data Fig. 3: Model performance on COVID-positive and COVID-negative patients.
From: Federated learning for predicting clinical outcomes in patients with COVID-19
ROCs of the best global model in comparison to the mean ROCs of models trained on local datasets to predict 24/72-h oxygen treatment devices for COVID positive/negative patients respectively, using the test data of 5 large datasets from sites in the Boston area. The Mean ROC is calculated based on 5 locally trained models, with the gray-area showing the standard deviation of the ROCs. We show the ROCs for three different cut-off values t of the EXAM risk score.
