Early Diagnosis of Tuberculosis Using Deep Learning Approach for IOT Based Healthcare Applications

Table 1

Performance of proposed DBN-AMBO with other classifiers.

Datasets	Performance	RNN	CNN	GAN	DBN	DBN-AMBO
Shenzhen China	Accuracy	0.895	0.792	0.972	0.973	0.992
	Precision	0.893	0.927	0.970	0.981	0.978
	Recall	0.935	0.858	0.932	0.934	0.954
	Specificity	0.961	0.718	0.856	0.961	0.991
	NPV	0.214	0.347	0.175	0.283	0.06
	FNR	0.850	0.923	0.971	0.856	0.998
Montgomery Country	Accuracy	0.983	0.894	0.952	0.915	0.987
	Precision	0.853	0.914	0.906	0.913	0.966
	Recall	0.953	0.884	0.926	0.954	0.989
	Specificity	0.862	0.776	0.871	0.964	0.994
	NPV	0.221	0.343	0.074	0.327	0.02
	FNR	0.852	0.913	0.965	0.931	0.972