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TitleCase based reasoning versus artificial neural networks in medical diagnosis
Author(s)Alves, Victor
Novais, Paulo
Nelas, Luís
Maia, Moreira
Ribeiro, Victor
KeywordsSistemas de apoio à decisão em medicina
Redes neuronais artificiais
Raciocínio baseado em casos
Sistemas multi-agente
Decision support systems in medicine
Artificial neuronal networks
Case based reasoning
Multi-agent systems
Issue date2003
CitationHAMZA, M. H., ed. lit. – “Artificial Intelligence and Applications : proceedings of the IASTED International Conference, 3, Benalmadena, 2003”. [S.l. : s.n.]. ISBN 0-88986-390-3.
Abstract(s)Embedding Machine Learning technology into Intelligent Diagnosis Systems adds a new potential to such systems and in particular to the imagiology ones. In our work, this is achieved using the data acquired from MEDsys, a computational environment that supports medical diagnosis systems that use an amalgam of knowledge discovery and data mining techniques, which use the potential of an extension to the language of Logic Programming, with the functionalities of a connectionist approach to problem solving using Artificial Neural Networks. One’s goal aims to conceive an alternative method to detect medical pathologies, as an alternative to the one in use in the actual medical diagnostic system; i.e., Case Based Reasoning versus Artificial Neural Networks. A comparative study of these two approaches to machine learning will be presented, taking into account its applicability in MEDsys.
TypeConference paper
AccessOpen access
Appears in Collections:DI/CCTC - Artigos (papers)

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