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

Author: Utku Kose

Publication Date: October 22, 2021

Language: English

ISBN: 9780323907699, 9780323907705

Publisher: Elsevier Science

Summary: This book presents the most current and leading-edge research into the applications of a variety of data science techniques for the detection, mitigation, treatment, and elimination of the COVID-19 virus. It integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including the wide variety of impacts the virus is having on societies and medical practice.

Key Features:

• Provides a leading-edge survey of Data Science techniques and methods for research, mitigation, and the treatment of the COVID-19 virus.
• Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world.
• Includes insights into innovative, data-oriented modeling and predictive techniques from COVID-19 researchers around the world, including geoprocessing and tracking, lab data analysis, and theoretical views on a variety of technical applications.
• Real-world feedback and user experiences from physicians and medical staff from around the world for medical treatment perspectives, public safety policies and impacts, sociological and psychological perspectives, the effects of COVID-19 in agriculture, economies, and education, and insights on future pandemics.

Why This Book Matters:

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 is now possible.

Target Audience:

This book is intended for researchers, clinicians, and professionals in the field of data science, public health, and medicine. It provides a comprehensive overview of the current state of data science techniques and their applications in the fight against COVID-19.