Data Science for COVID-19, Volume 2: Societal and Medical Perspectives

Authored by Utku Kose, this book presents the latest and most advanced research on the applications of various data science techniques in the fight against COVID-19. It leverages cognitive data science, including artificial intelligence, machine learning, deep learning, data mining, and computational modeling, to process large amounts of data, recognize patterns, model new techniques, and improve both research and treatment outcomes.

The book provides a comprehensive survey of data science techniques and methods for COVID-19 research, mitigation, and treatment. It integrates various data science techniques to serve as a valuable resource for researchers and clinicians worldwide, covering the diverse impacts of the virus on societies and medical practices.

Featuring insights from COVID-19 researchers globally, the book includes innovative, data-oriented modeling and predictive techniques such as geoprocessing and tracking, lab data analysis, and theoretical views on a variety of technical applications. It also incorporates real-world feedback and user experiences from physicians and medical staff worldwide, offering perspectives on medical treatment, public safety policies, sociological and psychological impacts, effects on agriculture, economies, and education, and insights into future pandemics.

Publication Details:
Publisher: Elsevier Science
Publication Date: October 22, 2021
Language: English
ISBN: 9780323907699, 9780323907705