Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/39074

TitleArtificial neural networks in diagnosis of liver diseases
Author(s)Neves, José
Cunha, Adriana
Almeida, Ana
Carvalho, André
Neves, João
Abelha, António
Machado, José
Vicente, Henrique
KeywordsLiver disease
Healthcare
Logic programming
Knowledge representation and reasoning
Artificial neuronal networks
Issue date2015
PublisherSpringer International Publishing
JournalLecture Notes in Computer Science
CitationCunha, A.; Almeida, A.; Carvalho, A.; Neves, J.; Abelha, A.; Machado, J.; Vicente, H.Artificial neural networks in diagnosis of liver diseases, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9267, 1, 71-80, 2015.
Abstract(s)Liver diseases have severe patients’ consequences, being one of the main causes of premature death. These facts reveal the centrality of one`s daily habits, and how important it is the early diagnosis of these kind of illnesses, not only to the patients themselves, but also to the society in general. Therefore, this work will focus on the development of a diagnosis support system to these kind of maladies, built under a formal framework based on Logic Programming, in terms of its knowledge representation and reasoning procedures, complemented with an approach to computing grounded on Artificial Neural Networks.
TypeConference paper
URIhttp://hdl.handle.net/1822/39074
ISBN978-3-319-22740-5
DOI10.1007/978-3-319-22741-2_7
ISSN0302-9743
Peer-Reviewedyes
AccessOpen access
Appears in Collections:DI/CCTC - Artigos (papers)

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