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Computational Intelligence Methods i...
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Raza, Khalid.
Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis/ edited by Khalid Raza.
其他作者:
Raza, Khalid.
面頁冊數:
XIX, 436 p. 114 illus., 97 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Health Informatics. -
電子資源:
https://doi.org/10.1007/978-981-15-8534-0
ISBN:
9789811585340
Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
[electronic resource] /edited by Khalid Raza. - 1st ed. 2021. - XIX, 436 p. 114 illus., 97 illus. in color.online resource. - Studies in Computational Intelligence,9231860-9503 ;. - Studies in Computational Intelligence,564.
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
Standard No.: 10.1007/978-981-15-8534-0doiSubjects--Topical Terms:
593963
Health Informatics.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
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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.
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