UID:
almafu_9959941230502883
Format:
1 online resource (XIX, 321 p.)
ISBN:
9783110712254
Series Statement:
Intelligent Biomedical Data Analysis ; 5
Content:
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.
Note:
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
,
In English.
Additional Edition:
ISBN 9783110712278
Additional Edition:
ISBN 9783110700206
Language:
English
DOI:
10.1515/9783110712254
URL:
https://doi.org/10.1515/9783110712254
URL:
https://www.degruyter.com/isbn/9783110712254
URL:
https://doi.org/10.1515/9783110712254
URL:
https://www.degruyter.com/isbn/9783110712254