A Case Based Methodology for Problem Solving aiming at Knee Osteoarthritis Detection

Bibliographic Details
Main Author: Esteves, Marisa
Publication Date: 2017
Other Authors: Vicente, Henrique, Machado, José, Alves, Victor, Neves, José
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10174/19698
https://doi.org/10.1007/978-3-319-51281-5_28
Summary: 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.
id RCAP_0d37ee918b5c9168edeef228e41c64d5
oai_identifier_str oai:dspace.uevora.pt:10174/19698
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling A Case Based Methodology for Problem Solving aiming at Knee Osteoarthritis DetectionKnee OsteoarthritisKnee X-RayImage Feature ExtractionKnowledge Representation and ReasoningLogic ProgrammingCase-Based ReasoningKnee 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.Springer International Publishing2017-01-10T16:02:22Z2017-01-102017-01-01T00:00:00Zbook partinfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10174/19698http://hdl.handle.net/10174/19698https://doi.org/10.1007/978-3-319-51281-5_28engEsteves, M., Vicente, H., Machado, J., Alves, V. & Neves, J., A Case Based Methodology for Problem Solving aiming at Knee Osteoarthritis Detection. In T. Herawan, R. Ghazali, N. M. Nawi & M. M. Deris, Eds., Recent Advances on Soft Computing and Data Mining, Advances in Intelligent Systems and Computing, Vol. 549, pp. 274–284, Springer International Publishing, Cham, Switzerland, 2017.Cham, Switzerland978-3-319-51279-22194-5357http://link.springer.com/chapter/10.1007/978-3-319-51281-5_281ª11marisa.araujo.esteves@gmail.comhvicente@uevora.ptjmac@di.uminho.ptvalves@di.uminho.ptjneves@di.uminho.ptEsteves, MarisaVicente, HenriqueMachado, JoséAlves, VictorNeves, Joséinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-01-03T19:08:54Zoai:dspace.uevora.pt:10174/19698Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T12:11:57.988926Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A Case Based Methodology for Problem Solving aiming at Knee Osteoarthritis Detection
title A Case Based Methodology for Problem Solving aiming at Knee Osteoarthritis Detection
spellingShingle A Case Based Methodology for Problem Solving aiming at Knee Osteoarthritis Detection
Esteves, Marisa
Knee Osteoarthritis
Knee X-Ray
Image Feature Extraction
Knowledge Representation and Reasoning
Logic Programming
Case-Based Reasoning
title_short A Case Based Methodology for Problem Solving aiming at Knee Osteoarthritis Detection
title_full A Case Based Methodology for Problem Solving aiming at Knee Osteoarthritis Detection
title_fullStr A Case Based Methodology for Problem Solving aiming at Knee Osteoarthritis Detection
title_full_unstemmed A Case Based Methodology for Problem Solving aiming at Knee Osteoarthritis Detection
title_sort A Case Based Methodology for Problem Solving aiming at Knee Osteoarthritis Detection
author Esteves, Marisa
author_facet Esteves, Marisa
Vicente, Henrique
Machado, José
Alves, Victor
Neves, José
author_role author
author2 Vicente, Henrique
Machado, José
Alves, Victor
Neves, José
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Esteves, Marisa
Vicente, Henrique
Machado, José
Alves, Victor
Neves, José
dc.subject.por.fl_str_mv Knee Osteoarthritis
Knee X-Ray
Image Feature Extraction
Knowledge Representation and Reasoning
Logic Programming
Case-Based Reasoning
topic Knee Osteoarthritis
Knee X-Ray
Image Feature Extraction
Knowledge Representation and Reasoning
Logic Programming
Case-Based Reasoning
description 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.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-10T16:02:22Z
2017-01-10
2017-01-01T00:00:00Z
dc.type.driver.fl_str_mv book part
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/19698
http://hdl.handle.net/10174/19698
https://doi.org/10.1007/978-3-319-51281-5_28
url http://hdl.handle.net/10174/19698
https://doi.org/10.1007/978-3-319-51281-5_28
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Esteves, M., Vicente, H., Machado, J., Alves, V. & Neves, J., A Case Based Methodology for Problem Solving aiming at Knee Osteoarthritis Detection. In T. Herawan, R. Ghazali, N. M. Nawi & M. M. Deris, Eds., Recent Advances on Soft Computing and Data Mining, Advances in Intelligent Systems and Computing, Vol. 549, pp. 274–284, Springer International Publishing, Cham, Switzerland, 2017.
Cham, Switzerland
978-3-319-51279-2
2194-5357
http://link.springer.com/chapter/10.1007/978-3-319-51281-5_28
1ª
11
marisa.araujo.esteves@gmail.com
hvicente@uevora.pt
jmac@di.uminho.pt
valves@di.uminho.pt
jneves@di.uminho.pt
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer International Publishing
publisher.none.fl_str_mv Springer International Publishing
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833592610218835968

Similar Items