Table 2.

Analysis of proposed method’s performance with respect to the precession, recall, accuracy, $F_1$-Score metrics on COVID-19 sounds data + ICBHI data and respiratory disease database + ICBHI data

Dataset Name	Disease class name	Precession (%)	Recall (%)	Accuracy (%)	$F_1$Score (%)
Respiratory disease database + ICBHI data	Asthma	92.13	93.42	91.28	92.77
	Bronchiolitis	93.82	94.23	92.32	94.02
	COPD	95.88	97.12	94.86	96.49
	Heart diseases	91.21	92.83	89.92	92.01
	Pneumonia	95.41	96.36	95.13	95.88
	URTI	90.36	91.67	88.68	91.01
	COVID-19	93.38	94.05	92.43	93.71
	Heart failure + COPD	95.21	96.82	94.56	96.01
	LRTI	90.43	91.62	88.74	91.02
	Healthy	96.20	97.37	95.23	96.78
COVID-19 sounds data + ICBHI data	Asthma	93.32	94.16	92.14	93.49
	Bronchiolitis	93.42	94.28	92.18	93.49
	COPD	95.20	96.63	95.04	95.49
	Heart diseases	90.82	92.10	90.06	91.46
	Pneumonia	94.12	95.68	93.27	94.89
	URTI	91.31	92.28	90.36	91.79
	COVID-19	95.16	96.21	95.83	97.20
	Heart failure + COPD	95.69	96.12	94.49	95.90
	LRTI	91.34	92.81	90.87	92.06
	Healthy	96.82	97.13	96.05	96.97