Data Science for COVID-19 Volume 1: Computational Perspectives


Data Science for COVID-19 Volume 1: Computational Perspectives
by: Utku Kose ,Deepak Gupta ,Victor Hugo Costa de Albuquerque,Ashish Khanna
Publisher Finelybook 出版社:Academic Press (8 Jun. 2021)
Language 语言:English
pages 页数:752 pages
ISBN-10 书号:0128245360
ISBN-13 书号:9780128245361

Book Description
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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