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Analysis of Covid-19 (India) Using Machine Learning Algorithms

  • Unique Paper ID: 152525
  • Volume: 8
  • Issue: 3
  • PageNo: 676-681
  • Abstract:
  • In light of recent events, such as the coronavirus pandemic, prediction algorithms based on machine learning (ML) have proven effective in predicting perioperative outcomes and improving decision-making in the future. Machine learning models have long been used in many application areas that need to detect and prioritize negative threat characteristics. Typically, a variety of forecasting methods are used to address forecasting problems. This study shows how machine learning algorithms can predict the number of patients who will be infected by COVID19, a virus that is now considered a possible threat to humans. In this study, the following predictive model are used to predict COVID19 risk factors: Linear Regression, Exponential Time Smoothing, Autoregressive Integrated Moving Average (ARIMA). The results of the study indicate that these strategies are a viable option in the current COVID19 pandemic.
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  • ISSN: 2349-6002
  • Volume: 8
  • Issue: 3
  • PageNo: 676-681

Analysis of Covid-19 (India) Using Machine Learning Algorithms

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Journal no 47859

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