Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis / edited by Khalid Raza

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..

Medienart:

E-Book

Erscheinungsjahr:

2021.

Erschienen:

Singapore: Springer Singapore ; 2021.

Singapore: Imprint: Springer ; 2021.

Ausgabe:

1st ed. 2021.

Reihe:

Studies in Computational Intelligence - 923

Sprache:

Englisch

Beteiligte Personen:

Raza, Khalid [HerausgeberIn]

Links:

doi.org [lizenzpflichtig]

ISBN:

978-981-15-8534-0

Themen:

Artificial intelligence.
Bioinformatics.
Computational intelligence.
Health informatics.

Umfang:

1 Online-Ressource(XIX, 436 p. 114 illus., 97 illus. in color.)

doi:

10.1007/978-981-15-8534-0

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

173753990X