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

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

doi:10.1016/j.simpa.2022.100337

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

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

Computer Science

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

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.

Original language	English
Article number	100337
Pages (from-to)	1-4
Journal	Software Impacts
Volume	13
DOIs	https://doi.org/10.1016/j.simpa.2022.100337
Publication status	Published - 31 Aug 2022

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10.1016/j.simpa.2022.100337

https://hdl.handle.net/1959.11/70649

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title = "Source Code for Optimized Parallel Inception: A Fast COVID-19 Screening Software",

abstract = "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.",

author = "Alireza Tavakolian and Farshid Hajati and Alireza Rezaee and \{Oliaei Fasakhodi\}, Amirhossein and Shahadat Uddin",

year = "2022",

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doi = "10.1016/j.simpa.2022.100337",

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T1 - Source Code for Optimized Parallel Inception

T2 - A Fast COVID-19 Screening Software

AU - Tavakolian, Alireza

AU - Hajati, Farshid

AU - Rezaee, Alireza

AU - Oliaei Fasakhodi, Amirhossein

AU - Uddin, Shahadat

PY - 2022/8/31

Y1 - 2022/8/31

N2 - 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.

AB - 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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DO - 10.1016/j.simpa.2022.100337

M3 - Article

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SP - 1

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JO - Software Impacts

JF - Software Impacts

M1 - 100337

ER -

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

Abstract

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