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|Title: ||A Case Based Methodology for Problem Solving aiming at Knee Osteoarthritis Detection|
|Authors: ||Esteves, Marisa|
|Editors: ||Herawan, Tutut|
Nawi, Nazri M.
Deris, Mustafa M.
|Keywords: ||Knee Osteoarthritis|
Image Feature Extraction
Knowledge Representation and Reasoning
|Issue Date: ||2017|
|Publisher: ||Springer International Publishing|
|Citation: ||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.|
|Abstract: ||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.|
|Appears in Collections:||QUI - Publicações - Capítulos de Livros|
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