Intelligent data analysis for COVID-19 pandemic / M. Niranjanamurthy, Siddhartha Bhattacharyya, Neeraj Kumar, editors.
Niranjanamurthy, M., editor.; Bhattacharyya, Siddhartha, 1975- editor.; Kumar, Neeraj (Computer scientist), editor.
2021
RA644.C67 I48 2021
Available Online

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Title Intelligent data analysis for COVID-19 pandemic / M. Niranjanamurthy, Siddhartha Bhattacharyya, Neeraj Kumar, editors.
ISBN 9789811615740 (electronic bk.)
9811615748 (electronic bk.)
9789811615733
981161573X
DOI https://doi.org/10.1007/978-981-16-1574-0
Published Singapore : Springer, [2021]
Copyright ©2021
Language English
Description 1 online resource : illustrations (some color)
Other Standard Identifiers 10.1007/978-981-16-1574-0 doi
Call Number RA644.C67 I48 2021
Dewey Decimal Classification 362.1962/414
Summary 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.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed July 22, 2021).
Added Author Niranjanamurthy, M., editor.
Bhattacharyya, Siddhartha, 1975- editor.
Kumar, Neeraj (Computer scientist), editor.
Series Algorithms for intelligent systems. 2524-7565
Available in Other Form Intelligent data analysis for COVID-19 pandemic.
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Record Appears in Online Resources > Ebooks
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Chapter 1. Machine Learning Based Ensemble Approach for Predicting the Mortality Risk of Covid-19 Patients: A Case Study
Chapter 2. The Role of Internet of Health Things (IoHTs) & Innovative Internet of 5G Medical Robotic Things (IIo-5GMRTs) in COVID-19 Global Health Risk Management and Logistics Planning
Chapter 3. Battling COVID-19 with Process Model of Integrated Digital Technology: An Analysis of Qualitative Data
Chapter 4. High-fidelity intelligence ventilator to help infect with Covid-19 based on artificial intelligence
Chapter 5. Boon of Artificial Intelligence in Diagnosis of Covid-19
Chapter 6. Artificial Intelligence and Big Data Solutions for COVID-19
Chapter 7. Modeling the Transmition Dynamics of COVID-19 Virus Disease in Nigeria
Chapter 8. Emerging Trends in Higher Education during Pandemic Covid-19: An impact study From West Bengal
Chapter 9. COVID-19: Virology, Epidemiology, Diagnostics and Predictive modelling
Chapter 10. Improved Estimation in Logistic Regression through Quadratic Bootstrap Approach: An Application in Indian Agricultural e-learning System during COVID-19 Pandemic
Chapter 11. COVID-19 and Stock Markets: Deaths and Strict Policies
Chapter 12. Artificial Intelligence Techniques in Medical Imaging for Detection of Corona Virus (COVID-19 / SARS-COV-2): A Brief Survey
Chapter 13. A Travelling Disinfection-man Problem (TDP) for COVID-19: A Nonlinear Binary Constrained Gaining-Sharing knowledge-based Optimization Algorithm
Chapter 14. COVID-19 Lock down Impact on Mental Health: A Cross-sectional Online Survey from Kerala, India
Chapter 15. Analysis, Modelling and Prediction of COVID-19 Outbreaks using Machine Learning Algorithms.

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