Source Code for Optimized Parallel Inception: A Fast COVID-19 Screening Software [Image: see text]

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 symptom...

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Detalles Bibliográficos
Autores principales: Tavakolian, Alireza, Hajati, Farshid, Rezaee, Alireza, Fasakhodi, Amirhossein Oliaei, Uddin, Shahadat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2022
Materias:
Original Software Publication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221174/
https://www.ncbi.nlm.nih.gov/pubmed/35765602
http://dx.doi.org/10.1016/j.simpa.2022.100337
Descripción
Sumario: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.

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