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: English
Paperback 页数: 752 pages
ISBN-10: 0128245360
ISBN-13: 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.