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https://hdl.handle.net/1822/71383
Título: | A case base approach to cardiovascular diseases using chest X-ray image analysis |
Autor(es): | Faria, Ricardo Alves, Victor Ferraz, Filipa Tinoco Neves, João Vicente, Henrique Neves, José |
Palavras-chave: | Case-based reasoning Chest X-ray images Knowledge representation Logic programming Mathematical logic Reasoning Similarity analysis Knowledge Representation and Reasoning Mathematical Logic and Logic Programming |
Data: | 2017 |
Editora: | SCITEPRESS |
Citação: | 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 1: ICAART, ISBN 978-989-758-220-2, pages 266-274. DOI: 10.5220/0006237702660274 |
Resumo(s): | 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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/71383 |
ISBN: | 978-989-758-220-2 |
DOI: | 10.5220/0006237702660274 |
Versão da editora: | https://www.scitepress.org/Link.aspx?doi=10.5220/0006237702660274 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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21.pdf Acesso restrito! | 1,46 MB | Adobe PDF | Ver/Abrir |