AEGLE: A big bio-data analytics framework for integrated health-care services
Year: 2015
Type: conference-paper
Abstract: AEGLE project1targets to build an innovative ICT solution addressing the whole data value chain for health based on: cloud computing enabling dynamic resource allocation, HPC infrastructures for computational acceleration and advanced visualization techniques. In this paper, we provide an analysis of the addressed Big Data health scenarios and we describe the key enabling technologies, as well as data privacy and regulatory issues to be integrated into AEGLE's ecosystem, enabling advanced health-care analytic services, while also promoting related research activities.
Authors: Dimitrios Soudris, Sotirios Xydis, Christos Baloukas, Anastasia Hadzidimitriou, Ioanna Chouvarda, Kostas Stamatopoulos, Nicos Maglaveras, John Chang, Andreas Raptopoulos, David Manset, Barbara Pierscionek, Reem Kayyali, Nada Phillip, Tobias Becker, Katerina Vaporidi, Eumorphia Kondili, Dimitrios Georgopoulos, Lesley-Ann Sutton, Richard Rosenquist, Lydia Scarfo, Paolo Ghia
Institutions: Institute of Communication and Computer Systems, Centre for Research and Technology Hellas, National Health Service, Croydon Health Services NHS Trust, Exodus (Greece), Kingston University London, Maxeler Technologies (United Kingdom), University Hospital of Heraklion, Uppsala University, Vita-Salute San Raffaele University
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W2216602638