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Intelligent Data Analysis for COVID-19 Pandemic
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[Bild: cjpfy7k4xnp6ndj63zzrclgjwy.jpg]

Intelligent Data Analysis for COVID-19 Pandemic (Algorithms for Intelligent Systems)
by M. Niranjanamurthy (Editor), Siddhartha Bhattacharyya (Editor), Neeraj Kumar (Editor)
English | 2021 | ISBN: 981161573X | 377 pages | pdf, epub | 54.04 MB

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.
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