Data Science for COVID-19 : Computational Perspectives /

Data Science for COVID-19 : Computational Perspectives /

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 vari...

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Bibliographic Details
Main Authors: Kose, Utku, 1985-, editor 651210, Gupta, Deepak-, editor 636375, Albuquerque, Victor Hugo Costa de-, editor 651211, Khanna, Ashish-, editor 636376, ScienceDirect (Online service) 7722
Format: software, multimedia
Language:eng
Published: Amsterdam : Academic Press, 2021
Subjects:
COVID-19 (Disease)
Medical mapping
Online Access:https://www.sciencedirect.com/science/book/9780128245361
Description
Summary: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.

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