Computational Intelligence for Managing Pandemics / ed. by Aditya Khamparia, Rubaiyat Hossain Mondal, Prajoy Podder, Bharat Bhushan, Victor Hugo C. de Albuquerque, Sachin Kumar.
Contributor(s): Ajetunmobi, Umar Olansile [contributor.]
| Albuquerque, Victor Hugo C. de [editor.] | Asif, Sohaib [contributor.] | Bandyopadhyay, Samir Kumar [contributor.] | Bharati, Subrato [contributor.] | Bhushan, Bharat [contributor.] | Bhushan, Bharat [editor.] | Chauhan, Sunita S [contributor.] | Dargad, Sweta A [contributor.] | Dixit, Sunanda [contributor.] | Dutta, Shawni [contributor.] | Gbolagade Adiamoh, Abdul Ganiyy [contributor.] | Hossain Mondal, M. Rubaiyat [contributor.] | Hossain Mondal, Rubaiyat [editor.] | Hou, Jin [contributor.] | Joshi, Nisheeth [contributor.] | Katyayan, Pragya [contributor.] | Khamparia, Aditya [editor.] | Kumar, Sachin [editor.] | Kébé, Khadim [contributor.] | Lasisi, Mutiu Iyanda [contributor.] | Mahalakshmi, J [contributor.] | Mahesh, Riya [contributor.] | Mehendale, Ninad [contributor.] | Pachpatte, Deepak [contributor.] | Pandey, Anupriya [contributor.] | Patel, Rutwik [contributor.] | Paul, Pinto Kumar [contributor.] | Podder, Prajoy [contributor.] | Podder, Prajoy [editor.] | Sharma, Leena [contributor.] | Sharma, Utkarsh [contributor.] | Sharmy, Nure Naushin [contributor.] | Si, Jinhai [contributor.] | Uppal, Arushi [contributor.] | Yi, Tao [contributor.] | Yi, Wenhui [contributor.].
Material type: 
BookSeries: Intelligent Biomedical Data Analysis , 5.Publisher: Berlin ; Boston : De Gruyter, [2021]Copyright date: ©2021Description: 1 online resource (XIX, 321 p.).Content type: text Media type: computer Carrier type: online resourceISBN: 9783110712254.Subject(s): Big data | Computational intelligence | Epidemics -- Data processing | Public health -- Data processing | Algorithmus | Big Data | Digital Health | Öffentliche Gesundheit | COMPUTERS / Intelligence (AI) & SemanticsAdditional physical formats: No title; No titleDDC classification: 004 Online resources: Click here to access online | Click here to access online | Cover Issued also in print.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
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http://purl.org/coar/access_right/c_16ec
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.
Issued also in print.
Mode of access: Internet via World Wide Web.
In English.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023)
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