Data Science for COVID-19 Volume 1 - Computational Perspectives (Paperback)

Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	May 2021
First published:	2021
Editors:	Utku Kose • Deepak Gupta • Victor Hugo Costa de Albuquerque • Ashish Khanna
Dimensions:	235 x 191 x 45mm (L x W x T)
Format:	Paperback
Pages:	752
ISBN-13:	978-0-12-824536-1
Categories:	Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Medicine > Clinical & internal medicine > Diseases & disorders > Infectious & contagious diseases > General
LSN:	0-12-824536-0
Barcode:	9780128245361

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