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
• Publicatiejaar: 2021
• Taal: English
• Reeks: Intelligent Biomedical Data Analysis , 5
• Fysieke beschrijving: 1 online resource (XIX, 321 p.)
• Other title: 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
• Samenvatting: 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.
• Formaat: Mode of access: Internet via World Wide Web.
• ISBN: 9783110712254; 9783110750720; 9783110750706; 9783110754001; 9783110753776; 9783110754070; 9783110753837
• ISSN: 2629-7140
• DOI: 10.1515/9783110712254
• Toegang: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: ed. by Aditya Khamparia, Rubaiyat Hossain Mondal, Prajoy Podder, Bharat Bhushan, Victor Hugo C. de Albuquerque, Sachin Kumar.

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...