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: | , , , , , , |
|---|---|
| Médium: | E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Berlin ; Boston :
De Gruyter,
[2021]
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| Edice: | Intelligent Biomedical Data Analysis ;
5 |
| Témata: | |
| ISBN: | 9783110712254 |
| On-line přístup: |
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| 024 | 7 | |a 10.1515/9783110712254 |2 doi | |
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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. | ||
| 538 | |a Mode of access: Internet via World Wide Web. | ||
| 546 | |a In English. | ||
| 650 | 4 | |a Algorithmus. | |
| 650 | 4 | |a Big Data. | |
| 650 | 4 | |a Digital Health. | |
| 650 | 4 | |a Öffentliche Gesundheit. | |
| 650 | 7 | |a COMPUTERS / Intelligence (AI) & Semantics. | |
| 653 | |a algoritmy | ||
| 653 | |a big dáta | ||
| 653 | |a digitálne zdravotníctvo | ||
| 653 | |a verejné zdravie | ||
| 655 | 4 | |a elektronické dokumenty | |
| 700 | 1 | |a Albuquerque, Victor Hugo C. de, |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Bhushan, Bharat, |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 700 | 1 | |a Bhushan, Bharat, |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Hossain Mondal, M. Rubaiyat, |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 700 | 1 | |a Hossain Mondal, Rubaiyat, |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 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 | |
| 700 | 1 | |a Podder, Prajoy, |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 700 | 1 | |a Podder, Prajoy, |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 959 | |a 56 | ||
| 974 | |f Elektronické zdroje | ||
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