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COVID-19-The Role of Artificial Intelligence, Machine Learning, and Deep Learning: A Newfangled.

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Summary

This study analyzes Machine Learning, Deep Learning, and Artificial Intelligence methods for COVID-19 diagnosis and response. It compares AI-driven techniques to combat the ongoing pandemic and its severe impacts.

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Area of Science:

  • * Medical Informatics
  • * Computer Science
  • * Public Health

Background:

  • * The novel coronavirus (COVID-19) emerged in Wuhan, China, in December 2019, rapidly escalating into a global pandemic.
  • * As of March 9, 2022, over 447 million cases and 6 million deaths were reported worldwide, highlighting an uncontrolled spread.
  • * The pandemic has profoundly impacted global daily life and healthcare systems.

Purpose of the Study:

  • * To conduct a comprehensive analysis of Machine Learning (ML), Deep Learning (DL), and Artificial Intelligence (AI) approaches for COVID-19.
  • * To evaluate the significance of these AI-driven techniques in responding to the COVID-19 epidemic and diagnosing its severe impacts.
  • * To compare existing predictive methods for COVID-19, focusing on ML, DL, and AI techniques.

Main Methods:

  • * Review and comparative analysis of existing literature on AI, ML, and DL applications in COVID-19.
  • * Exploration of various strategies and innovations to curb the spread of COVID-19.
  • * Performance evaluation of different AI-driven predictive models using established metrics.

Main Results:

  • * Identification of key AI, ML, and DL techniques applied to COVID-19 diagnosis and management.
  • * Comparative assessment of the efficacy and performance metrics of various predictive models.
  • * Discussion on the strengths and limitations of current AI-based approaches in pandemic response.

Conclusions:

  • * AI, ML, and DL offer significant potential in combating the COVID-19 pandemic through improved diagnosis and response strategies.
  • * Comparative analysis reveals varying performance levels among different AI-driven techniques, necessitating further research.
  • * Future scope includes refining existing models and exploring novel AI applications for enhanced pandemic control.