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Wuhan, China was the place where COVID-19 was found in December 2019 and proved to be the worst pandemic in the world. This virus is highly contagious and spreads through direct contact and droplets. More than 210 countries suffered from this Virus and witnessed the highest number of fatality rate. This paper focuses on an analysis of machine learning approaches adapted by researchers to study, predict, and recommend related to the spread, recovery, and forecasting of the advent of next mutated virus. It is found in the survey that the results of the experiment, demonstrated accuracy in predicting Covid-19 infections. Researchers worked on various Data Mining techniques which are implemented along with artificial intelligence techniques and results are analyzed and proved.

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Survey and Analysis on Machine Learning Approaches for Exploring Aspects of Covid-19

  • 会议论文

  • 发表日期：

    2025年

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  • Sumathi Pawar,
  • Karuna Pandit,
  • GeethaLaxmi,
  • Rajermani Thinakaran

摘要

Wuhan, China was the place where COVID-19 was found in December 2019 and proved to be the worst pandemic in the world. This virus is highly contagious and spreads through direct contact and droplets. More than 210 countries suffered from this Virus and witnessed the highest number of fatality rate. This paper focuses on an analysis of machine learning approaches adapted by researchers to study, predict, and recommend related to the spread, recovery, and forecasting of the advent of next mutated virus. It is found in the survey that the results of the experiment, demonstrated accuracy in predicting Covid-19 infections. Researchers worked on various Data Mining techniques which are implemented along with artificial intelligence techniques and results are analyzed and proved.