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

Khalid Raza (Curatore)

Springer Verlag, Singapore, 2020

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 forcomputer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.

• Curatore: Khalid Raza
• Editore: Springer Verlag, Singapore
• Collana: Studies in Computational Intelligence
• Anno: 2020
• Rilegatura: Hardback
• Pagine: 436 p.
• Dimensioni: 235 x 155 mm
• EAN: 9789811585333

Testo in English