Covid Prediction State Wise based on Machine Learning Techniques : A Systematic Review

Authors

  • Lalita Charpe  M.Tech Scholar, Department of Computer Science and Engineering, Tulshiram Gaikwad College of Engineering, Nagpur, Maharashtra, India
  • Jayant Adhikari  Assistant Professor, Department of Computer Science and Engineering, Tulshiram Gaikwad College of Engineering, Nagpur, Maharashtra, India

Keywords:

COVID-19, coronavirus, SARS-CoV-2, artificial intelligence, machine learning, deep learning, systematic review, epidemiology, pandemic, neural network.

Abstract

SARS-CoV-2, the novel coronavirus that is responsible for COVID-19, has wreaked havoc around the world, with patients presenting with a wide range of issues that have prompted health-care professionals to investigate innovative technology solutions and treatment strategies. Several organisations have been quick to adopt and customise Artificial Intelligence (AI)–based technologies in response to the challenges posed by the COVID-19 pandemic. Artificial Intelligence (AI)–based technologies have played a significant role in solving complex problems, and several organisations have been quick to adopt and customise these technologies. A systematic evaluation of the literature on the role of artificial intelligence (AI) as a comprehensive and decisive technology in the fight against the COVID-19 problem in the fields of epidemiology, diagnosis, and illness progression was the primary goal of this investigation. In accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines, a systematic search of the PubMed, Web of Science, and CINAHL databases was conducted between December 1, 2019 and June 27, 2020 to identify all potentially relevant studies that were published and made available online between December 1, 2019 and June 27, 2019. The search syntax was created by incorporating terms that were specific to COVID-19 and AI. As part of this systematic review, we gathered papers from the current COVID-19 literature that made use of artificial intelligence-based methodologies to provide insights into various COVID-19 themes. Our findings point to relevant factors, data types, and COVID-19 resources that can be used to facilitate clinical and translational research and can be used to inform future study.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-06-30

Issue

Volume 9, Issue 3, May-June-2022

Section

Research Articles

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How to Cite

[1]
Lalita Charpe, Jayant Adhikari, " Covid Prediction State Wise based on Machine Learning Techniques : A Systematic Review, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 3, pp.343-353, May-June-2022.