Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/52455

TitleA case-based approach to nosocomial infection detection
Author(s)Faria, Ricardo
Vicente, Henrique
Abelha, António
Santos, Manuel
Machado, José Manuel
Neves, José
KeywordsCase-based reasoning
Healthcare
Knowledge representation and reasoning
Logic programming
Nosocomial infection
Similarity analysis
Issue date1-Jan-2016
PublisherSpringer
JournalLecture Notes in Computer Science
CitationFaria, R., Vicente, H., Abelha, A., Santos, M., Machado, J., & Neves, J. (2016, June). A case-based approach to nosocomial infection detection. In International Conference on Artificial Intelligence and Soft Computing (pp. 159-168). Springer, Cham
Abstract(s)The nosocomial infections are a growing concern because they affect a large number of people and they increase the admission time in healthcare facilities. Additionally, its diagnosis is very tricky, requiring multiple medical exams. So, this work is focused on the development of a clinical decision support system to prevent these events from happening. The proposed solution is unique once it caters for the explicit treatment of incomplete, unknown, or even contradictory information under a logic programming basis, that to our knowledge is something that happens for the first time.
TypeConference paper
URIhttp://hdl.handle.net/1822/52455
ISBN978-3-319-39383-4
e-ISBN978-3-319-39384-1
DOI10.1007/978-3-319-39384-1_14
ISSN0302-9743
Publisher versionhttps://link.springer.com/chapter/10.1007/978-3-319-39384-1_14#citeas
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Livros e capítulos de livros/Books and book chapters

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