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Data Science for COVID-19 Volume 1

Computational Perspectives

  • 1st Edition - May 20, 2021
  • Editors: Utku Kose, Deepak Gupta, Victor Hugo Costa de Albuquerque, Ashish Khanna
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 1 2 - 8 2 4 5 3 6 - 1
  • eBook ISBN:
    9 7 8 - 0 - 1 2 - 8 2 4 5 3 7 - 8

Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introd… Read more

Data Science for COVID-19 Volume 1

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Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation.