Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis / edited by Khalid Raza.
Material type:
TextSeries: Studies in Computational Intelligence ; 923Publication details: Singapore: Springer, c2021.Edition: 1st ed. 2021Description: 1 online resource (XIX, 436 p. 114 illus., 97 illus. in color.) online resource. 24 cmISBN: - 9789811585340
- 9789811585333
- 9789811585357
- 9789811585364
- 006.3 23 RAZ-C 2021 789479
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Faculty of CS & IT Library CS & IT Shelf No. 44 New Arrival | Book | 006.3 RAZ-C 2021 789479 (Browse shelf(Opens below)) | C 1 | Available | 789479 |
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.