Table 5.

Classification performance with the classical laboratory findings (with standard deep neural network architecture).

Classifier	Accuracy	F1-score	Precision	Recall	AUC
ANN	0.8690	0.8713	0.8713	0.8713	0.85
CNN	0.8735	0.8856	0.8847	0.8867	0.80
RNN	0.8400	0.8427	0.8428	0.8427	0.83