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. 2022 Jun 6:290:1008-1009.
doi: 10.3233/SHTI220241.

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

Zoe Valero-Ramon  1 , Pedro Louro  2 , Luis Irio  2 , Ilias Dimitriadis  3 , Marinos Poiitis  3 , Theodoros Toliopoulos  3 , Paraskevas Lagakis  4 , Georgios Petridis  4 , Nikolaos Papachristou  4 , Francisco J Núñez-Benjumea  5 , Santiago Hors-Fraile  5 , Athena Vakali  3 , Anastasios Gounaris  3 , Dany Shapiro  6 , Juan-Carlos Naranjo  7 , Sofia Levva  4 , Antonis Billis  4 , Vicente Traver  1 , Panagiotis Bamidis  4
Affiliations

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

Zoe Valero-Ramon et al. Stud Health Technol Inform. .

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".

Keywords: Artificial Intelligence; Big Data; Cancer Survivorship; Quality of Life.

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