Table 5.
Proposed method (RNN-LRa) | AUCb | Weighted F-measure | ||||||
|
T-LSTMc | Time fusion CNNd | Temporal MMCBRe | T-LSTM | Time fusion CNN | Temporal MMCBR |
|
|
P value | <.001 | <.001 | <.001 | <.001 | <.001 | <.05 |
|
aRNN-LR: recurrent neural network-latent regulator.
bAUC: area under the curve.
cT-LSTM: time aware long short-term memory.
dCNN: convolutional neural network.
eMMCBR: multiple measurement case-based reasoning.