Reprint
Big Data for eHealth Applications
Edited by
September 2022
212 pages
- ISBN 978-3-0365-5053-4 (Hardback)
- ISBN 978-3-0365-5054-1 (PDF)
This is a Reprint of the Special Issue Big Data for eHealth Applications that was published in
Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary
This Special Issue is focused on technologies and methodologies in the field of big data analytics for eHealth, also considering their combined use with Internet of Thing (IoT) devices, artificial intelligence (AI) methods, and cyber security (CS) techniques for the definition of complex systems and architectures for the eHealth domain. Papers devoted to the analysis of COVID-19-related big data are also considered.