TABLE 2. Cross-validation results for COVID-19 classification using the cough and breathing sound analysis of our telehealth-IoT deep learning model.

		Cough sound				Breathing sound
Dataset		F1-score		Accuracy		F1-score		Accuracy
		Average	Standard deviation	Average	Standard deviation	Average	Standard deviation	Average	Standard deviation
Collected data only		0.6549	0.0820	0.6297	0.0170	0.7273	0.0700	0.7045	0.0500
With data augmentation	Aug = 50	0.6968	0.0361	0.6667	0.0166	0.7646	0.0491	0.7333	0.0522
Aug = 100	0.7099	0.0417	0.6875	0.0140	0.7904	0.0452	0.7703	0.0517
Aug = 150	0.7522	0.0368	0.7324	0.0289	0.8015	0.0293	0.7770	0.0283
Aug = 180	0.7777	0.0186	0.7375	0.0198	0.8120	0.0426	0.7988	0.0281
Aug = 200	0.7866	0.0317	0.7595	0.0246	0.8192	0.0217	0.8071	0.0237
Aug = 300	0.8244	0.0360	0.8010	0.0387	0.8417	0.0323	0.8260	0.0291
Aug = 1000	0.9172	0.0048	0.9098	0.0065	0.9172	0.0208	0.9098	0.0224