Table 2.

Sensitivity and specificity results.

Data models	Sensitivity or recall	Specificity
LRa	0.9714	0.333
MLPb	0.8857	0.9048
CNNc	0.9714	0.8571
RNNd	0.9143	0.2381
LSTMe	0.9714	0.4762
TB-LSTMf	1.000	0.7143

^aLR: logistic regression.

^bMLP: multilayer perceptrons.

^cCNN: convolutional neural networks.

^dRNN: recurrent neural networks.

^eLSTM: long short-term memory.

^fTB-LSTM: time-batched LSTM.