Computational intelligence for managing pandemics
Bibliographische Detailangaben
- Titel
- Computational intelligence for managing pandemics
- verantwortlich
- ; ; ;
- Schriftenreihe
- Intelligent biomedical data analysis ; volume 5
- veröffentlicht
- 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
- Tags
- Tag hinzufügen
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- Zusammenfassung
- 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 - Umfang
- 1 Online-Ressource (XIX, 321 Seiten); Illustrationen, Diagramme
- Sprache
- Englisch
- Schlagworte
- RVK-Notation
-
- Informatik
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- Monografien
-
- Einzelne Anwendungen der Datenverarbeitung
-
- Datenverarbeitung in Anwendungsgebieten
-
- Medizin
- BK-Notation
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54.80 Angewandte Informatik
54.72 Künstliche Intelligenz - ISBN
-
9783110712254
9783110712278
- DOI
- 10.1515/9783110712254