Pre-test Prediction of Non-ischemic Cardiomyopathies using Time-Series EHR Data

Table 4:

The predict performance for pre-echocardiogram disease prediction

Model	AUC	F1	Recall	Prec	P@3
RNN	0.6605	0.3659	0.3333	0.4054	0.5631
LSTM	0.6792	0.4222	0.4222	0.4222	0.5931
GRU	0.7140	0.4471	0.4222	0.4750	0.6323
TransformerRNN	0.7598	0.5435	0.5556	0.5319	0.6671
TransformerLSTM	0.7207	0.4396	0.4444	0.4348	0.5691
TransformerGRU	0.7246	0.5376	0.5556	0.5208	0.6117
Transformer	0.7005	0.4742	0.5111	0.4423	0.5974
TST	0.7050	0.3810	0.3556	0.4103	0.5777
RNNAttention	0.6416	0.3913	0.4000	0.3830	0.5111
LSTMAttention	0.7015	0.4706	0.4444	0.5000	0.6477
GRUAttention	0.6246	0.3656	0.3778	0.3542	0.4801
Random Forest	0.7533	0.4878	0.4444	0.5405	0.6882