Research Tracks for Intelligent Processing to Support Cardiovascular Disease Management in Personalized Healthcare - Results from LiNK Project

Antonio Martinez-Millana, Alvaro Martinez-Romero, Jorge Henriques, Anna Maria Bianchi, Carlos Fernandez-Llatas, Vicente Traver, Ricardo Couceiro, Paulo de Carvalho

2017

Abstract

The goal of LiNK is to discover and define research tracks in the area of intelligent processing to support cardiovascular disease management in Personalized Healthcare (PHC). The strategy was based on a two-fold approach. First, using a status assessment of the current research on PHC and an international research forum. From this roadmap, specific innovative research tracks were developed by common workgroups. Knowledge transfer methodologies between partners by using a “learn by doing” approach increased the research excellence momentum. These research tracks supported concept definition activities that will be the basis for new project, network and PhD grant proposals, leading to a continuum of widening. Second, existing links to international leading organizations and key actors in PHC (academic, industrial and users) were exploited to launch a research and innovation forum in which the definition of a research agenda and curricula for advanced training was completed.

Paper Citation

in Harvard Style

Martinez-Millana A., Martinez-Romero A., Henriques J., Bianchi A., Fernandez-Llatas C., Traver V., Couceiro R. and de Carvalho P. (2017). Research Tracks for Intelligent Processing to Support Cardiovascular Disease Management in Personalized Healthcare - Results from LiNK Project.In OPPORTUNITIES AND CHALLENGES for European Projects - Volume 1: EPS Portugal 2017/2018, ISBN 978-989-758-361-2, pages 56-69. DOI: 10.5220/0008862000560069

in Bibtex Style

@conference{eps portugal 2017/201817,
author={Antonio Martinez-Millana and Alvaro Martinez-Romero and Jorge Henriques and Anna Maria Bianchi and Carlos Fernandez-Llatas and Vicente Traver and Ricardo Couceiro and Paulo de Carvalho},
title={Research Tracks for Intelligent Processing to Support Cardiovascular Disease Management in Personalized Healthcare - Results from LiNK Project},
booktitle={OPPORTUNITIES AND CHALLENGES for European Projects - Volume 1: EPS Portugal 2017/2018,},
year={2017},
pages={56-69},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008862000560069},
isbn={978-989-758-361-2},
}

in EndNote Style

TY - CONF

JO - OPPORTUNITIES AND CHALLENGES for European Projects - Volume 1: EPS Portugal 2017/2018,
TI - Research Tracks for Intelligent Processing to Support Cardiovascular Disease Management in Personalized Healthcare - Results from LiNK Project
SN - 978-989-758-361-2
AU - Martinez-Millana A.
AU - Martinez-Romero A.
AU - Henriques J.
AU - Bianchi A.
AU - Fernandez-Llatas C.
AU - Traver V.
AU - Couceiro R.
AU - de Carvalho P.
PY - 2017
SP - 56
EP - 69
DO - 10.5220/0008862000560069