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https://hdl.handle.net/1822/52461
Título: | Length of Stay in Intensive Care Units - A Case Base Evaluation |
Autor(es): | Silva, Ana Vicente, Henrique Abelha, António Santos, Manuel Machado, José Manuel Neves, João Neves, José |
Palavras-chave: | Intensive Care Unit Length of Stay Knowledge Representation and Reasoning Logic Programming Case-Based Reasoning Quality of Care |
Data: | 2016 |
Editora: | IOS Press |
Revista: | Frontiers in Artificial Intelligence and Applications |
Citação: | Silva, A., Vicente, H., Abelha, A., Santos, M. F., Machado, J., Neves, J., & Neves, J. (2016, August). Length of Stay in Intensive Care Units-A Case Base Evaluation. In SoMeT (pp. 191-202) |
Resumo(s): | As a matter of fact, an Intensive Care Unit (ICU) stands for a hospital facility where patients require close observation and monitoring. Indeed, predicting Length-of-Stay (LoS) at ICUs is essential not only to provide them with improved Quality-of-Care, but also to help the hospital management to cope with hospital resources. Therefore, in this work one's aim is to present an Artificial Intelligence based Decision Support System to assist on the prediction of LoS at ICUs, which will be centered on a formal framework based on a Logic Programming acquaintance for knowledge representation and reasoning, complemented with a Case Based approach to computing, and able to handle unknown, incomplete, or even contradictory data, information or knowledge. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/52461 |
ISBN: | 9781614996736 |
DOI: | 10.3233/978-1-61499-674-3-191 |
ISSN: | 0922-6389 |
Versão da editora: | http://ebooks.iospress.nl/publication/44441 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2016_SOMET_2016.pdf Acesso restrito! | 414,43 kB | Adobe PDF | Ver/Abrir |