Intelligent Data Analysis for COVID-19 Pandemic /

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...

Full description

Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Niranjanamurthy, M. (Editor), Bhattacharyya, Siddhartha (Editor), Kumar, Neeraj (Editor)
Format:	eBook
Language:	English
Published:	Singapore : Springer Singapore : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	Algorithms for Intelligent Systems,
Subjects:	Computational intelligence. Artificial intelligence. Statistics . Health informatics. Computational Intelligence. Artificial Intelligence. Statistics, general. Health Informatics. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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) and 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.