Figure 3.

Receiver operating characteristic (ROC) curves and precision-recall curves (PRCs) for 5 natural language processing models for extracting fall-related injury data from electronic health records. A) Area under the ROC curve (AUROC); B) area under the precision-recall curve (AUPRC). The RoBERTa model had the best AUROC (0.962) and AUPRC (0.964). BERT, bidirectional encoder representations from transformers; RoBERTa, robustly optimized BERT pretraining approach; SVM, support vector machine.