Computational intelligence for managing pandemics

Titel: Computational intelligence for managing pandemics
verantwortlich: Khamparia, Aditya (HerausgeberIn); Mondal, M. Rubaiyat Hossain (HerausgeberIn); Podder, Prajoy (HerausgeberIn); Bhushan, Bharat (HerausgeberIn)
Schriftenreihe: Intelligent biomedical data analysis ; volume 5
veröffentlicht: Berlin: De Gruyter, [2021]
© 2021
Erscheinungsjahr: 2021
Teil von: Intelligent biomedical data analysis ; volume 5
Erscheint auch als: Computational intelligence for managing pandemics, Berlin : De Gruyter, 2021, XIX, 321 Seiten
Andere Ausgaben: Computational intelligence for managing pandemics
Medientyp: E-Book
Datenquelle: K10plus Verbundkatalog
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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, 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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source_id	183
spelling	Computational intelligence for managing pandemics edited by Aditya Khamparia, M. Rubaiyat Hossain Mondal, Prajoy Podder, Bharat Bhushan, Victor Hugo C. de Albuquerque, Sachin Kumar, Berlin De Gruyter [2021], © 2021, 1 Online-Ressource (XIX, 321 Seiten) Illustrationen, Diagramme, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Intelligent biomedical data analysis volume 5, Restricted Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_16ec online access with authorization star, 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, 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, COMPUTERS / Intelligence (AI) & Semantics, Aufsatzsammlung (DE-588)4143413-4 (DE-627)105605727 (DE-576)209726091 gnd-content, s (DE-588)1206347392 (DE-627)1692339907 COVID-19 gnd, s (DE-588)4737034-8 (DE-627)365953423 (DE-576)215891244 Pandemie gnd, s (DE-588)4015016-1 (DE-627)104713739 (DE-576)208910158 Epidemiologie gnd, s (DE-588)4455833-8 (DE-627)229230849 (DE-576)212619101 Soft Computing gnd, DE-101, s (DE-588)4020775-4 (DE-627)106316834 (DE-576)208934758 Gesundheitswesen gnd, s (DE-588)4040936-3 (DE-627)104360054 (DE-576)209042761 Mustererkennung gnd, s (DE-588)4341284-1 (DE-627)15329518X (DE-576)211423319 Fuzzy-Logik gnd, (DE-627), Khamparia, Aditya 1988- HerausgeberIn (DE-588)1186305169 (DE-627)1665828749 edt, Mondal, M. Rubaiyat Hossain HerausgeberIn (DE-588)1242925848 (DE-627)1773219219 edt, Podder, Prajoy HerausgeberIn (DE-588)1242926054 (DE-627)1773240145 edt, Bhushan, Bharat HerausgeberIn edt, 9783110700206, Erscheint auch als Druck-Ausgabe Computational intelligence for managing pandemics Berlin : De Gruyter, 2021 XIX, 321 Seiten (DE-627)1734719885 9783110700206 3110700204, Intelligent biomedical data analysis volume 5 5 (DE-627)1670021300 (DE-600)2979332-4 2629-7159 ns, https://doi.org/10.1515/9783110712254 X:GRUY Resolving-System lizenzpflichtig, https://www.degruyter.com/isbn/9783110712254 X:GRUY Verlag lizenzpflichtig, https://www.degruyter.com/cover/covers/9783110712254.jpg X:GRUY Verlag Cover, (DE-627)1769564268
spellingShingle	Computational intelligence for managing pandemics, Intelligent biomedical data analysis, volume 5, 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, 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, COMPUTERS / Intelligence (AI) & Semantics, Aufsatzsammlung, COVID-19, Pandemie, Epidemiologie, Soft Computing, Gesundheitswesen, Mustererkennung, Fuzzy-Logik
title	Computational intelligence for managing pandemics
title_auth	Computational intelligence for managing pandemics
title_full	Computational intelligence for managing pandemics edited by Aditya Khamparia, M. Rubaiyat Hossain Mondal, Prajoy Podder, Bharat Bhushan, Victor Hugo C. de Albuquerque, Sachin Kumar
title_fullStr	Computational intelligence for managing pandemics edited by Aditya Khamparia, M. Rubaiyat Hossain Mondal, Prajoy Podder, Bharat Bhushan, Victor Hugo C. de Albuquerque, Sachin Kumar
title_full_unstemmed	Computational intelligence for managing pandemics edited by Aditya Khamparia, M. Rubaiyat Hossain Mondal, Prajoy Podder, Bharat Bhushan, Victor Hugo C. de Albuquerque, Sachin Kumar
title_in_hierarchy	volume 5. Computational intelligence for managing pandemics ([2021])
title_short	Computational intelligence for managing pandemics
title_sort	computational intelligence for managing pandemics
title_unstemmed	Computational intelligence for managing pandemics
topic	COMPUTERS / Intelligence (AI) & Semantics, Aufsatzsammlung, COVID-19, Pandemie, Epidemiologie, Soft Computing, Gesundheitswesen, Mustererkennung, Fuzzy-Logik
topic_facet	COMPUTERS / Intelligence (AI) & Semantics, Aufsatzsammlung, COVID-19, Pandemie, Epidemiologie, Soft Computing, Gesundheitswesen, Mustererkennung, Fuzzy-Logik
url	https://doi.org/10.1515/9783110712254, https://www.degruyter.com/isbn/9783110712254, https://www.degruyter.com/cover/covers/9783110712254.jpg
work_keys_str_mv	AT khampariaaditya computationalintelligenceformanagingpandemics, AT mondalmrubaiyathossain computationalintelligenceformanagingpandemics, AT podderprajoy computationalintelligenceformanagingpandemics, AT bhushanbharat computationalintelligenceformanagingpandemics

Computational intelligence for managing pandemics

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