Intelligent Data Analysis for COVID-19 Pandemic
Author | : M. Niranjanamurthy |
Publisher | : Springer Nature |
Total Pages | : 370 |
Release | : 2021-06-22 |
ISBN-10 | : 9789811615740 |
ISBN-13 | : 9811615748 |
Rating | : 4/5 (40 Downloads) |
Book excerpt: 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.