Table 6 Performance comparison of different neural networks with MOAOA.

From: A BiLSTM model enhanced with multi-objective arithmetic optimization for COVID-19 diagnosis from CT images

Method

Accuracy

Recall

Precision

Specificity

F1 score

ELM

0.9131

0.9533

0.8827

0.8728

0.9167

Random forest

0.9444

0.9778

0.9278

0.8713

0.9215

RBFNN

0.9031

0.9156

0.8937

0.8906

0.9045

CNN

0.9254

0.9444

0.9101

0.9062

0.9269

LSTM

0.9465

0.9511

0.9427

0.9420

0.9469

BiLSTM

0.9532

0.9556

0.9513

0.9509

0.9534

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