Intelligent data analysis for COVID-19 pandemic

Intelligent data analysis for COVID-19 pandemic / M. Niranjanamurthy, Siddhartha Bhattacharyya, Neeraj Kumar, editors.

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...

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Bibliographic Details
Other Authors: Niranjanamurthy, M. (Editor), Bhattacharyya, Siddhartha, 1975- (Editor), Kumar, Neeraj (Computer scientist) (Editor)
Format: eBook
Language:English
Published: Singapore : Springer, [2021]
Series:Algorithms for intelligent systems.
Subjects:
Since 2020
COVID-19 Pandemic, 2020- > Data processing.
Electronic data processing
Pandèmia de COVID-19, 2020-
Processament de dades.
Llibres electrònics.
Online Access:Click for online access
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) & 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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