Performance metrics for natural language processing and classification on the validation cohort across all outcomes for BOW with logistic regression and RNN with GloVe.

a) Average AUC metric across all five splits of the data. b) Sensitivity, Specificity, Accuracy and Precision for GloVe Models combined with RNN on the BMC Validation Cohort.a) 该数据集全部五个划分折的平均AUC（受试者工作特征曲线下面积，Area Under Curve）指标。 b) 在BMC验证队列中，结合循环神经网络（Recurrent Neural Network，RNN）的GloVe模型（Global Vectors for Word Representation）的灵敏度、特异度、准确率及精确率。