Data Science for COVID-19 presents the most current and leading-edge research into the applications of a variety of data science techniques to the detection, mitigation, treatment, and elimination of the COVID-19 virus around the world. At this point, Cognitive Data Science is the most powerful tool for researchers to fight COVID-19. Thanks to instant data-analysis and predictive techniques including Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, and computational modeling for processing large amounts of data, recognizing patterns, modeling new techniques, and improving both research and treatment outcomes. Data Science for COVID-19 begins with an introduction to Data Science for COVID-19 research, considering past and potential future pandemics, as well as related Coronavirus variations. Readers will then learn about a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, and mobile technology and telemedicine solutions for remote treatment of the virus. The book then proceeds to provide insights into Artificial Intelligence-based solutions, innovative treatment methods, and public safety for COVID-19. Finally, readers will learn about applications of Big Data and new data models for understanding and mitigating the virus.

Book Information
ISBN 9780128245361
Author Utku Kose
Format Paperback
Page Count 232
Imprint Academic Press Inc
Publisher Elsevier Science Publishing Co Inc
Weight(grams) 191g