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Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

DESCRIPTION

(Studies in Computational Intelligence, 923) 1st ed. 2021 Edition 

by Khalid Raza (Editor) 

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.

DETAILS:

Year: 2021
Pages: 437
Language: English
Format: Springer
Size: 13 MB
Publisher: Springer
ISBN-10:  9811585334
ISBN-13: 978-9811585333
ASIN: B08LB57ZW5
Tag: Download Book Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis