Q Algorithm Used For Detection In Covid-19 Virus

Authors

  • Kalpana Malpe
  • Vijaya Kamble
  • Rhutuja Dongare

Keywords:

COVID-19, coronavirus, pandemic, machine learning, artificial intelligence, open source, data sets

Abstract

COVID-19, a new virus, was discovered in Wuhan, China, in December 2019. Due to its infectious features and lack of medically established therapy, the COVID-19 virus spread around the planet in early 2020, causing widespread infections and deaths on all continents except Antarctica. The COVID19 epidemic has been dubbed the most significant worldwide calamity since World Wars Iand II. The initial line of defense in the fight againstnon-pharmaceutical techniques such as social separation and personal isolation are used to disseminate COVID-19. The global epidemic, which is hurting billions of people economically and socially, has reached a tipping point. spurred the scientific community to develop computer-assisted solutions COVID-19 diagnosis, prevention, and estimation using digital technologies. Several of these Efforts are centeredonstatistical andArtificialIntelligence-baseddata analysis.COVID19is a virus.All of these scientific endeavors requiredthatthedatacollectedbemadepublic.Toencourageexpansion, validation, andimprovement,theanalysis service shouldbe opensource.Inthefight againstthe global pandemic, team.

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Published

2023-12-19

How to Cite

Kalpana Malpe, Vijaya Kamble, & Rhutuja Dongare. (2023). Q Algorithm Used For Detection In Covid-19 Virus. Elementary Education Online, 20(6), 2264–2276. Retrieved from https://ilkogretim-online.org/index.php/pub/article/view/5089

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Section

Articles