Intelligent Data Analysis for COVID-19 Pandemic (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Algorithms for Intelligent Systems
Release date:	June 2022
First published:	2021
Editors:	M. Niranjanamurthy • Siddhartha Bhattacharyya • Neeraj Kumar
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	370
Edition:	1st ed. 2021
ISBN-13:	978-981-16-1576-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Applications of computing > Databases > Data capture & analysis Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Medicine > Clinical & internal medicine > Diseases & disorders > Infectious & contagious diseases > General
LSN:	981-16-1576-4
Barcode:	9789811615764

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