Intelligent Data Analysis for COVID-19 Pandemic

Released on by M. Niranjanamurthy
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  • Intelligent Data Analysis for COVID-19 Pandemic Book Detail

  • Author : M. Niranjanamurthy
  • Release Date : 2021-06-22
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Pages : 370
  • ISBN 13 : 9811615748
  • File Size : 99,99 MB
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Intelligent Data Analysis for COVID-19 Pandemic by M. Niranjanamurthy PDF Summary

Book Description: This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.

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