Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/23305

Title: Chest X-Ray Image Analysis - A Vision of Logic Programming
Authors: Neves, João
Faria, Ricardo
Alves, Victor
Ferraz, Filipa
Vicente, Henrique
Neves, José
Keywords: Chest X-ray Images
Knowledge Representation and Reasoning
Logic Programming
Case-Based Reasoning
Decision Support Systems
Issue Date: 2018
Publisher: Springer International Publishing
Citation: Neves, J., Faria, R., Alves, V., Ferraz, F., Vicente, H. & Neves, J., Chest X-Ray Image Analysis – A Vision of Logic Programming. Lecture Notes in Artificial Intelligence, 10839, 48–61, 2018.
Abstract: Most cardiovascular diseases can be prevented by addressing behavioral risk factors such as tobacco use, unhealthy diet and obesity, physical inactivity and harmful use of alcohol using strategies of the entire population. People with cardiovascular disease or high cardiovascular risk (due to the presence of one or more risk factors, such as hypertension, diabetes, hyperlipidemia or already established disease) need early detection and management using counseling and medication as appropriate. Now a leading cause of death. In fact, it reveals the centrality of prevention and how important it is to be aware of these situations. Thus, this paper will focus on the development of a decision support system to prevent these events to happen, centered on a structure based on Logic Programming for Representation and Knowledge Reasoning, complemented with a case-based approach to computation.
URI: http://link.springer.com/chapter/10.1007/978-3-319-93581-2_3
http://hdl.handle.net/10174/23305
ISSN: 0302-9743 (paper)
1611-3349 (electronic)
Type: article
Appears in Collections:QUI - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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