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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Bibliographic Details
Other Authors: Albuquerque, Victor Hugo C. de (Editor), Bhushan, Bharat (Contributor, Editor), Hossain Mondal, M. Rubaiyat (Contributor), Hossain Mondal, Rubaiyat (Editor), Khamparia, Aditya (Editor), Kumar, Sachin (Editor), Podder, Prajoy (Contributor, Editor)
Format: eBook
Language:English
Published: Berlin ; Boston : De Gruyter, [2021]
Series:Intelligent Biomedical Data Analysis ; 5
Subjects:
ISBN:9783110712254
Online Access: Get full text
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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