Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/51674
Título: | A case based methodology for problem solving aiming at knee osteoarthritis detection |
Autor(es): | Esteves, Marisa Araújo Vicente, Henrique Machado, José Manuel Alves, Victor Neves, José |
Palavras-chave: | Knee osteoarthritis Knee X-ray image feature extraction Knowledge representation and reasoning Logic programming Case-based reasoning |
Data: | 2017 |
Editora: | Springer |
Revista: | Advances in Intelligent Systems and Computing |
Resumo(s): | Knee osteoarthritis is the most common type of arthritis and a major cause of impaired mobility and disability for the ageing populations. Therefore, due to the increasing prevalence of the malady, it is expected that clinical and scientific practices had to be set in order to detect the problem in its early stages. Thus, this work will be focused on the improvement of methodologies for problem solving aiming at the development of Artificial Intelligence based decision support system to detect knee osteoarthritis. The framework is built on top of a Logic Programming approach to Knowledge Representation and Reasoning, complemented with a Case Based approach to computing that caters for the handling of incomplete, unknown, or even self-contradictory information. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/51674 |
ISBN: | 978-3-319-51279-2 |
e-ISBN: | 978-3-319-51281-5 |
DOI: | 10.1007/978-3-319-51281-5_28 |
ISSN: | 2194-5357 |
e-ISSN: | 2194-5365 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
2017_SCDM_2016.pdf Acesso restrito! | 209,43 kB | Adobe PDF | Ver/Abrir |