A Case Base Approach to Cardiovascular Diseases using Chest X-ray Image Analysis

Ricardo Faria, Victor Alves, Filipa Ferraz, João Neves, Henrique Vicente, José Neves

Abstract

Cardio Vascular Disease (CVD) also known as heart and circulatory disease comprises all the illnesses of the heart and the circulatory system, namely coronary heart disease, angina, heart attack, congenital heart disease or stroke. CVDs are, nowadays, one of the main causes of death. Indeed, this fact reveals the centrality of prevention and how important is to be aware on these kind of situations. Thus, this work will focus on the development of a decision support system to help to prevent these events from happening, centred on a formal framework based on Mathematical Logic and Logic Programming for Knowledge Representation and Reasoning, complemented with a Case Based Reasoning approach to computing that caters to the handling of incomplete, unknown or even self-contradictory information or knowledge.

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Paper Citation


in Harvard Style

Faria R., Alves V., Ferraz F., Neves J., Vicente H. and Neves J. (2017). A Case Base Approach to Cardiovascular Diseases using Chest X-ray Image Analysis . In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-220-2, pages 266-274. DOI: 10.5220/0006237702660274


in Bibtex Style

@conference{icaart17,
author={Ricardo Faria and Victor Alves and Filipa Ferraz and João Neves and Henrique Vicente and José Neves},
title={A Case Base Approach to Cardiovascular Diseases using Chest X-ray Image Analysis},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2017},
pages={266-274},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006237702660274},
isbn={978-989-758-220-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A Case Base Approach to Cardiovascular Diseases using Chest X-ray Image Analysis
SN - 978-989-758-220-2
AU - Faria R.
AU - Alves V.
AU - Ferraz F.
AU - Neves J.
AU - Vicente H.
AU - Neves J.
PY - 2017
SP - 266
EP - 274
DO - 10.5220/0006237702660274