Computational intelligence for managing pandemics /
This book uncovers the stakes and possibilities of handling pandemic diseases with the help of Computational Intelligence, using cases and applications from the current Covid-19 pandemic. The book chapters will focus on the application of CI and its related fields in managing different aspects of Co...
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| Other Authors: | , , , , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; Boston :
De Gruyter,
[2021]
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| Series: | Intelligent Biomedical Data Analysis ;
5 |
| Subjects: | |
| ISBN: | 9783110712254 |
| Online Access: |
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Table of Contents:
- Frontmatter
- Preface
- Contents
- About the editors
- List of contributors
- 1 Application of rough set theory to analyze primary parameters causing death in COVID-19 patients
- 2 From Wuhan to Africa: insights into the genome of the SARS-CoV-2
- 3 Analysis of divergence aspects of breast in breast cancer patients that change due to COVID-19
- 4 The correlates among containment, management and public interest indicators of COVID-19 in Nigeria: managerial and policy implications for stakeholders
- 5 Effect of lockdown during the COVID-19 pandemic using mathematical modeling: a quantitative saatudy
- 6 Flattening the curve of COVID-19 outbreak by early forecasting
- 7 Analysis and forecasting of COVID-19 infections in India using ARIMA model
- 8 Effectiveness of machine learning in predicting the spread of COVID-19
- 9 Mathematical modeling of the transmission dynamics of novel coronavirus: an India-specific study
- 10 The role of IoMT during pandemics
- 11 Internet of medical things approach to COVID-19
- 12 Applications and challenges of AI-driven IoHT for combating pandemics: a review
- 13 Deep learning on medical images to combat a pandemic
- 14 Deep convolutional neural network for the classification of COVID-19 from chest X-ray images
- 15 Deep learning for analysis of COVID-19 electronic health records
- Index

