Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/71503
Título: | Chest X-ray image analysis: A vision of logic programming |
Autor(es): | Neves, João Faria, Ricardo Alves, Victor Ferraz, Filipa Tinoco Vicente, Henrique Neves, José |
Palavras-chave: | Case-based reasoning Chest X-Ray images Decision support systems Knowledge representation and reasoning Logic programming Knowledge representation and reasoning Logic programming |
Data: | 2018 |
Editora: | Springer, Cham |
Revista: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Citação: | Neves J., Faria R., Alves V., Ferraz F., Vicente H., Neves J. (2018) Chest X-Ray Image Analysis. In: van den Herik J., Rocha A., Filipe J. (eds) Agents and Artificial Intelligence. ICAART 2017. Lecture Notes in Computer Science, vol 10839. Springer, Cham. https://doi.org/10.1007/978-3-319-93581-2_3 |
Resumo(s): | 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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/71503 |
ISBN: | 978-3-319-93580-5 |
e-ISBN: | 978-3-319-93581-2 |
DOI: | 10.1007/978-3-319-93581-2_3 |
ISSN: | 0302-9743 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
11.pdf Acesso restrito! | 1 MB | Adobe PDF | Ver/Abrir |