Computational Intelligence for Managing Pandemics / / ed. by Aditya Khamparia, Rubaiyat Hossain Mondal, Prajoy Podder, Bharat Bhushan, Victor Hugo C. de Albuquerque, Sachin Kumar.

• Superior document: Title is part of eBook package: De Gruyter DG Ebook Package English 2021
• MitwirkendeR: Ajetunmobi, Umar Olansile,; Asif, Sohaib,; Bandyopadhyay, Samir Kumar,; Bharati, Subrato,; Bhushan, Bharat,; Chauhan, Sunita S.,; Dargad, Sweta A.,; Dixit, Sunanda,; Dutta, Shawni,; Gbolagade Adiamoh, Abdul Ganiyy,; Hossain Mondal, M. Rubaiyat,; Hou, Jin,; Joshi, Nisheeth,; Katyayan, Pragya,; Kébé, Khadim,; Lasisi, Mutiu Iyanda,; Mahalakshmi, J.,; Mahesh, Riya,; Mehendale, Ninad,; Pachpatte, Deepak,; Pandey, Anupriya,; Patel, Rutwik,; Paul, Pinto Kumar,; Podder, Prajoy,; Sharma, Leena,; Sharma, Utkarsh,; Sharmy, Nure Naushin,; Si, Jinhai,; Uppal, Arushi,; Yi, Tao,; Yi, Wenhui,
• HerausgeberIn: Albuquerque, Victor Hugo C. de,; Bhushan, Bharat,; Hossain Mondal, Rubaiyat,; Khamparia, Aditya,; Kumar, Sachin,; Podder, Prajoy,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2021]; ©2021
• Year of Publication: 2021
• Language: English
• Series: Intelligent Biomedical Data Analysis , 5
• Physical Description: 1 online resource (XIX, 321 p.)

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.

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