Performance of BERT Natural Language Processing in Classifying 30-Day Documented Goals-of-Care Discussions at Note and Patient Levels in a 159-Patient, 2480-Note Internal Validation Sample
Representative values of sensitivity, specificity, positive and negative predictive values, and F1 scores from these curves are presented in the Table. B, Dotted lines indicate nondiscriminating classifiers. AUC indicates area under the receiver operating characteristic curve; AUPRC, area under the precision-recall curve; and PPV, positive predictive value.