Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/22116

Title: A Case Base Approach to Cardiovascular Diseases using Chest X-Ray Image Analysis
Authors: Faria, Ricardo
Alves, Victor
Ferraz, Filipa
Neves, João
Vicente, Henrique
Neves, José
Editors: van den Herik, Jaap
Rocha, Ana Paula
Filipe, Joaquim
Keywords: Chest X-ray Images
Knowledge Representation and Reasoning
Mathematical Logic and Logic Programming
Case-Based Reasoning
Similarity Analysis
Issue Date: 2017
Publisher: Scitepress – Science and Technology Publications
Citation: Faria, R., Alves, V., Ferraz, F., Neves, J., Vicente, H. & Neves, J., A Case Base Approach to Cardiovascular Diseases using Chest X-ray Image Analysis. In J. van den Herik, A.P. Rocha & J. Filipe Eds., Proceedings of the 9th International Conference on Agents and Artificial Intelligence (ICAART 2017), Vol. II, pp. 266–274, Scitepress – Science and Technology Publications, Lisbon, 2017.
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.
URI: http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006237702660274
http://hdl.handle.net/10174/22116
ISBN: 978-989-758-220-2
Type: article
Appears in Collections:QUI - Artigos em Livros de Actas/Proceedings

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