Fig. 7

Effect of different sizes of training data in the pretrained embedding models on classification performance. a Number of reports randomly split in 20%, 40%, 60%, 80% and 100% of total training dataset for each disease by organ system. b Performance of models on test-set trained with randomly split 20%, 40%, 60%, 80%, and 100% training data for each disease by organ system reported as AUC. Error bars represent 95% confidence intervals