Description:
This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.
Review Quotes: "Each article is self-contained with a detailed description of each method, background information, statistics and mathematical details, theory, and application. Anyone looking for inspiration could find several examples and use cases of available data that can be used for insight generation. ... The strength of this edited book is that the readers would become familiar with several data sources and demonstration of intelligent analysis of data that social scientist routinely collect." (Enayet Raheem, ISCB News, iscb.info, June, 2022)