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Data Science for COVID-19

Data Science for COVID-19 Computational Perspectives

Paperback (25 May 2021)

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Publisher's Synopsis

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.

Book information

ISBN: 9780128245361
Publisher: Elsevier Science
Imprint: Academic Press
Pub date:
DEWEY: 614.592414
DEWEY edition: 23
Language: English
Number of pages: 638
Weight: 1500g
Height: 194mm
Width: 234mm
Spine width: 45mm