Source Code for Optimized Parallel Inception: A Fast COVID-19 Screening Software

Autor: Alireza Tavakolian, Farshid Hajati, Alireza Rezaee, Amirhossein Oliaei Fasakhodi, Shahadat Uddin
Rok vydání: 2022
Předmět:
Zdroj: Software impacts. 13
ISSN: 2665-9638
Popis: 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.
Databáze: OpenAIRE