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Authors: João Rafael Almeida 1 ; 2 ; Pedro Freire 2 ; Olga Fajarda 2 and José Luís Oliveira 2

Affiliations: 1 Department of Information and Communications Technologies, University of A Coruña, A Coruña, Spain ; 2 DETI/IEETA, University of Aveiro, Aveiro, Portugal

Keyword(s): Health Data, Clinical Studies, Cohorts, Heart Failure.

Abstract: Heart failure is a global health issue that affects millions of people worldwide, and is the main cause of disability and hospitalisation of elderly people. Approximately half of these have heart failure with preserved ejection fraction (HFpEF) and this proportion is increasing as the population ages. There is still no efficient treatment for HFpEF and today’s existing therapies only aim at relieving symptoms. With the aim to unravelling the pathophysiology of HFpEF and identify new therapeutic targets, ongoing long-time studies are collecting patient’s data, including the genomic information. This procedure is complex and requires electronically-stored health information to keep the patient’s information centralised to simplify the following up. In this paper, we present an computational system to support researchers in the different stages of a clinical study, and we describe its use in the management and analyse of HFpEF cohorts.

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Paper citation in several formats:
Almeida, J.; Freire, P.; Fajarda, O. and Oliveira, J. (2020). A Computational Platform for Heart Failure Cases Research. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - HEALTHINF; ISBN 978-989-758-398-8; ISSN 2184-4305, SciTePress, pages 601-608. DOI: 10.5220/0009104706010608

@conference{healthinf20,
author={João Rafael Almeida. and Pedro Freire. and Olga Fajarda. and José Luís Oliveira.},
title={A Computational Platform for Heart Failure Cases Research},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - HEALTHINF},
year={2020},
pages={601-608},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009104706010608},
isbn={978-989-758-398-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - HEALTHINF
TI - A Computational Platform for Heart Failure Cases Research
SN - 978-989-758-398-8
IS - 2184-4305
AU - Almeida, J.
AU - Freire, P.
AU - Fajarda, O.
AU - Oliveira, J.
PY - 2020
SP - 601
EP - 608
DO - 10.5220/0009104706010608
PB - SciTePress

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