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A Collective Intelligence Platform to Support Older Cancer Survivors: Towards the Definition of LifeChamps System and Big Data Reference Architecture.

Authors :
Valero-Ramon, Zoe
Louro, Pedro
Irio, Luis
Dimitriadis, Ilias
Poiitis, Marinos
Toliopoulos, Theodoros
Lagakis, Paraskevas
Petridis, Georgios
Papachristou, Nikolaos
Núñez-Benjumea, Francisco J.
Hors-Fraile, Santiago
Vakali, Athena
Gounaris, Anastasios
Shapiro, Dany
Naranjo, Juan-Carlos
Levva, Sofia
Billis, Antonis
Traver, Vicente
Bamidis, Panagiotis
Source :
Studies in Health Technology & Informatics; 2022, Vol. 290, p1008-1009, 2p
Publication Year :
2022

Abstract

Within the most recent years, most of the cancer patients are older age, which implies the necessity to a better understanding of aging and cancer connection. This work presents the LifeChamps solution built on top of cutting-edge Big Data architecture and HPC infrastructure concepts. An innovative architecture was envisioned supported by the Big Data Value Reference Model and answering the system requirements from high to low level and from logical to physical perspective, following the "4+1 architectural model". [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09269630
Volume :
290
Database :
Complementary Index
Journal :
Studies in Health Technology & Informatics
Publication Type :
Academic Journal
Accession number :
157572115
Full Text :
https://doi.org/10.3233/SHTI220241