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

By Khalid Raza

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 9811585369
• ISBN13: 9789811585364
• Release Date: October 2021
• Publisher: Springer
• Length: 436 Pages
• Weight: 1.40 lbs.
• Dimensions: 0.9" x 6.1" x 9.2"