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Computational intelligence methods i...

Raza, Khalid.

Computational intelligence methods in COVID-19surveillance, prevention, prediction and diagnosis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational intelligence methods in COVID-19edited by Khalid Raza.
Reminder of title:	surveillance, prevention, prediction and diagnosis /
other author:	Raza, Khalid.
Published:	Singapore :Springer Singapore :2021.
Description:	xix, 436 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computational intelligence.
Online resource:	https://doi.org/10.1007/978-981-15-8534-0
ISBN:	9789811585340$q(electronic bk.)

Computational intelligence methods in COVID-19surveillance, prevention, prediction and diagnosis /
Computational intelligence methods in COVID-19surveillance, prevention, prediction and diagnosis /[electronic resource] :edited by Khalid Raza. - Singapore :Springer Singapore :2021. - xix, 436 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.9231860-949X ;. - Studies in computational intelligence ;v. 216..

1. An Introduction to Computational Intelligence in COVID-19: Surveillance, Prevention, Prediction, and Diagnosis -- 2. Role of Computational Intelligence against COVID-19 -- 3. Using Computational Intelligence for Tracking COVID-19 Outbreak in Online Social Networks -- 4. Social Network Analysis for the Identification of Key Spreaders during COVID-19 -- 5. Mobile Technology Solution for COVID -19: Surveillance and Prevention -- 6. The Role of Internet of Things (IoT) in the Containment and Spread of the Novel COVID-19 Pandemic -- 7. A Review on Predictive Systems and Data Models for COVID-19 -- 8. A Comparative Study of the SIR Prediction Models and Disease Control Strategies: A Case Study of the State of Kerala, India -- 9. Computational Intelligence Approach for Prediction of COVID-19 using Particle Swarm Optimization. 10. COVID-19 Insightful Data Visualization and Forecasting using Elasticsearch.

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.

ISBN: 9789811585340$q(electronic bk.)

Standard No.: 10.1007/978-981-15-8534-0doiSubjects--Topical Terms:

210824
Computational intelligence.

LC Class. No.: Q342 / .C65 2021

Dewey Class. No.: 006.3

Computational intelligence methods in COVID-19surveillance, prevention, prediction and diagnosis /
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