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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Další autoři: Albuquerque, Victor Hugo C. de (Editor), Bhushan, Bharat (Přispěvatel, Editor), Hossain Mondal, M. Rubaiyat (Přispěvatel), Hossain Mondal, Rubaiyat (Editor), Khamparia, Aditya (Editor), Kumar, Sachin (Editor), Podder, Prajoy (Přispěvatel, Editor)
Médium: E-kniha
Jazyk:angličtina
Vydáno: Berlin ; Boston : De Gruyter, [2021]
Edice:Intelligent Biomedical Data Analysis ; 5
Témata:
ISBN:9783110712254
On-line přístup: Získat plný text
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245 0 0 |a Computational intelligence for managing pandemics /  |c ed. by Aditya Khamparia, Rubaiyat Hossain Mondal, Prajoy Podder, Bharat Bhushan, Victor Hugo C. de Albuquerque, Sachin Kumar. 
260 |a Berlin ;  |a Boston :   |b De Gruyter,   |c [2021] 
300 |a 1 online resource (XIX, 321 p.) 
490 0 |a Intelligent Biomedical Data Analysis ;  |v 5 
505 0 0 |t Frontmatter --   |t Preface --   |t Contents --   |t About the editors --   |t List of contributors --   |t 1 Application of rough set theory to analyze primary parameters causing death in COVID-19 patients --   |t 2 From Wuhan to Africa: insights into the genome of the SARS-CoV-2 --   |t 3 Analysis of divergence aspects of breast in breast cancer patients that change due to COVID-19 --   |t 4 The correlates among containment, management and public interest indicators of COVID-19 in Nigeria: managerial and policy implications for stakeholders --   |t 5 Effect of lockdown during the COVID-19 pandemic using mathematical modeling: a quantitative saatudy --   |t 6 Flattening the curve of COVID-19 outbreak by early forecasting --   |t 7 Analysis and forecasting of COVID-19 infections in India using ARIMA model --   |t 8 Effectiveness of machine learning in predicting the spread of COVID-19 --   |t 9 Mathematical modeling of the transmission dynamics of novel coronavirus: an India-specific study --   |t 10 The role of IoMT during pandemics --   |t 11 Internet of medical things approach to COVID-19 --   |t 12 Applications and challenges of AI-driven IoHT for combating pandemics: a review --   |t 13 Deep learning on medical images to combat a pandemic --   |t 14 Deep convolutional neural network for the classification of COVID-19 from chest X-ray images --   |t 15 Deep learning for analysis of COVID-19 electronic health records --   |t Index 
516 |a text file PDF 
520 |a 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. 
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650 4 |a Digital Health. 
650 4 |a Öffentliche Gesundheit. 
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700 1 |a Khamparia, Aditya,   |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Kumar, Sachin,   |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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