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In Software impacts

COVID-19 and swine-origin influenza A (H1N1) are both pandemics that sparked significant concern worldwide. These two viruses have the same symptoms and occur at a collision timeline. Optimized Parallel Inception (OPI) presents a new strategy to screen the COVID-19 from H1N1 with use of only symptoms. In this paper the process of preprocessing, screening, and specifying feature importance by OPI and particle swarm optimization is presented. Experimental results indicate 98.88 accuracy for screening COVID-19, H1N1, and Neither COVID-19 Nor H1N1.

Tavakolian Alireza, Hajati Farshid, Rezaee Alireza, Fasakhodi Amirhossein Oliaei, Uddin Shahadat


COVID-19, Coronavirus, Deep learning, H1N1 virus, Outbreak, Screening