Computational intelligence methods in COVID-19 : surveillance, prevention, prediction and diagnosis / Khalid Raza, editor.
Raza, Khalid.
2021
Q342 .C66 2021eb
Available Online

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Title
Computational intelligence methods in COVID-19 : surveillance, prevention, prediction and diagnosis / Khalid Raza, editor.
ISBN
9789811585340 (electronic bk.)
9811585342 (electronic bk.)
9789811585357 (print)
9811585350
9789811585364 (print)
9811585369
9811585334
9789811585333
DOI
https://doi.org/10.1007/978-981-15-8534-0
Published
Singapore : Springer, 2021.
Copyright
©2021
Language
English
Description
1 online resource (xix, 436 pages)
Item Number
10.1007/978-981-15-8534-0 doi
Call Number
Q342 .C66 2021eb
Dewey Decimal Classification
006.3
Summary
The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Description based on print version record.
Added Author
Raza, Khalid.
Series
Studies in computational intelligence ; v. 923.
Available in Other Form
Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis.
Linked Resources
Online Access
Record Appears in
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Part I. Computational Intelligence and COVID-19 Preliminaries
An Introduction to Computational Intelligence in COVID-19: Surveillance, Prevention, Prediction, and Diagnosis
Role of Computational Intelligence against COVID-19
Part II. Computational Intelligence in Surveillance and Prevention of COVID-19 Infection
Using Computational Intelligence for Tracking COVID-19 Outbreak in Online Social Networks
Social Network Analysis for the Identification of Key Spreaders during COVID-19
Mobile Technology Solution for COVID -19: Surveillance and Prevention
The Role of Internet of Things (IoT) in the Containment and Spread of the Novel COVID-19 Pandemic
Part III. Computational Intelligence in Prediction and Diagnosis of COVID-19
A Review on Predictive Systems and Data Models for COVID-19
A Comparative Study of the SIR Prediction Models and Disease Control Strategies: A Case Study of the State of Kerala, India
Computational Intelligence Approach for Prediction of COVID-19 using Particle Swarm Optimization. 10. COVID-19 Insightful Data Visualization and Forecasting using Elasticsearch
COVID-19 Insightful Data Visualization and Forecasting Using Elasticsearch
Computational Intelligence Methods for the Diagnosis of COVID-19
Rapid Computer Diagnosis for the Deadly Zoonotic COVID-19 Infection
Computational Intelligence Methods in Medical Image-Based Diagnosis of COVID-19 Infections
Part IV. Computational Intelligence in Drug Design and Drug Repurposing
Computational Intelligence in Drug Repurposing for COVID-19
COVID-19: Hard Road to Find Integrated Computational Drug and Repurposing Pipeline
Computational Intelligence in Vaccine Design Against COVID-19
Part V. Big Data, Intelligent IoMT, and Image Processing to Combat COVID-19
Big Data Analytics for Understanding and Fighting COVID-19
IoMT Potential Impact in COVID-19: Combating a Pandemic with Innovation
Advances in Intelligent Based Internet of Medical Things (IoMT) for COVID-19: Olfactory Disorders
Integrating M-Health with IoMT to Counter COVID-19
Digital Image Analysis Is a Silver Bullet to COVID-19 Pandemic
Non Linear Tensor Diffusion Based Unsharp Masking for Filtering of COVID-19 CT Images.

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