Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/52303

TitleA case based approach to assess waiting time prediction at an intensive care unity
Author(s)Quintas, Ana
Vicente, Henrique
Novais, Paulo
Abelha, António
Santos, M. Filipe
Machado, José Manuel
Neves, José
KeywordsCase-based reasoning
Intensive care unitlogic programming
Knowledge representation and reasoning
Logic programming
Similarity analysis
Waiting time
Issue date2016
PublisherSpringer International Publishing
JournalAdvances in Intelligent Systems and Computing
Abstract(s)Waiting time at an intensive care unity stands for a key feature in the assessment of healthcare quality. Nevertheless, its estimation is a difficult task, not only due to the different factors with intricate relations among them, but also with respect to the available data, which may be incomplete, self-contradictory or even unknown. However, its prediction not only improves the patients’ satisfaction but also enhance the quality of the healthcare being provided. To fulfill this goal, this work aims at the development of a decision support system that allows one to predict how long a patient should remain at an emergency unit, having into consideration all the remarks that were just stated above. It is built on top of a Logic Programming approach to knowledge representation and reasoning, complemented with a Case Base approach to computing.
TypeConference paper
URIhttp://hdl.handle.net/1822/52303
ISBN9783319419282
DOI10.1007/978-3-319-41929-9_4
ISSN2194-5357
Publisher versionhttps://link.springer.com/chapter/10.1007/978-3-319-41929-9_4
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Livros e capítulos de livros/Books and book chapters

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