Computational intelligence for managing pandemics / edited by Aditya Khamparia [and six others].

Format:

Book

Contributor:

Khamparia, Aditya, 1988- editor.

Series:

Intelligent biomedical data analysis ; 5.

Intelligent biomedical data analysis ; 5

Language:

English

Subjects (All):

Computational intelligence.

Physical Description:

1 online resource (344 pages)

Place of Publication:

Berlin ; Boston : Walter de Gruyter GmbH, [2021]

Summary:

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 Covid-19, including modelling of the disease spread, data-driven prediction, identification of disease hotspots, and medical decision support.

Contents:

Intro

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.

Notes:

Description based on print version record.

ISBN:

3-11-071225-3

OCLC:

1266229255