Table 4 Classification Results on Coswara Dataset.
From: Deep Learning-Driven Early Diagnosis of Respiratory Diseases using CNN-RNN Fusion on Lung Sound Data
Disease | Accuracy (%) | Precision (%) | Recall (%) | F1-Score (%) | AUC |
|---|---|---|---|---|---|
Normal | 94.6500 ± 1.1200 | 95.0100 ± 1.2400 | 94.3400 ± 1.4500 | 94.6700 ± 1.3600 | 0.9590 ± 0.0110 |
COVID-19 | 92.3100 ± 1.2100 | 91.8700 ± 1.3800 | 92.7800 ± 1.5200 | 92.3200 ± 1.2700 | 0.9430 ± 0.0120 |
Asthma | 89.5400 ± 1.3800 | 88.1100 ± 1.2900 | 90.0200 ± 1.6000 | 89.0500 ± 1.4800 | 0.9310 ± 0.0140 |
Pneumonia | 91.8000 ± 1.3300 | 92.3000 ± 1.1000 | 91.2400 ± 1.5600 | 91.7600 ± 1.1800 | 0.9440 ± 0.0120 |
Average | 92.0700 ± 1.2600 | 91.3200 ± 1.2500 | 92.0900 ± 1.5300 | 91.4500 ± 1.3200 | 0.9440 ± 0.0120 |
