Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Studies in Computational Intelligence, 923
Release date:	October 2020
First published:	2021
Editors:	Khalid Raza
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	436
Edition:	1st ed. 2021
ISBN-13:	978-981-15-8533-3
Categories:	Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	981-15-8533-4
Barcode:	9789811585333

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