Table 5.

Summary of air pollution influence on COPD for different day interval.

Metrics	ADL	FSVM	MONN	N-ARNN	MH-GCA	Findings (%)
Accuracy	94.503	96.611	95.862	97.248	98.647	2.69
Error rate	0.949	0.96422	0.95963	0.96762	0.99488	3.125
MCC	0.22831	0.20795	0.18383	0.15586	0.0869	54.97

Inference: the introduced MH-GCA approach increased recognition of the air pollutants influence on COPD with 2.69% of accuracy, 3.125% of MCC and minimized the deviation up to 54.97% for different day intervals. Thus, the introduced MH-GCA approach successfully predicted the air pollutant influence on COPD compared to other methods. Therefore, the COPD-infected people were aware of the pollutants and managing their health condition according to the situation. In addition to this, normal and COPD-infected people can forecast the daily air pollution via any freely available app and avoiding outdoor activities.