A Case-Based Approach to Nosocomial Infection Detection
Contribuinte(s) |
Rutkowski, Leszek Korytkowski, Marcin Scherer, Rafal Tadeusiewicz, Ryszard Zadeh, Lotfi A. Zurada, Jacek M. |
---|---|
Data(s) |
10/01/2017
10/01/2017
2016
|
Resumo |
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. |
Identificador |
Faria, R., Vicente, H., Abelha, A., Santos, M. F., Machado, J. & Neves, J. A Case-Based Approach to Nosocomial Infection Detection. In L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. A. Zadeh & J. M. Zurada, Eds., Artificial Intelligence and Soft Computing, Lecture Notes in Artificial Intelligence, Vol. 9693, pp. 159–168, Springer International Publishing, Cham, Switzerland, 2016. Cham, Switzerland 978-3-319-39383-4 0302-9743 http://link.springer.com/chapter/10.1007/978-3-319-39384-1_14 http://hdl.handle.net/10174/19719 1ª 10 ricardo.mof@hotmail.com hvicente@uevora.pt abelha@di.uminho.pt mfs@dsi.uminho.pt jmac@di.uminho.pt jneves@di.uminho.pt 10.1007/978-3-319-39384-1_14 |
Idioma(s) |
eng |
Publicador |
Springer International Publishing |
Direitos |
openAccess |
Palavras-Chave | #Nosocomial Infection #Healthcare #Knowledge Representation and Reasoning #Logic Programming #Case-Based Reasoning #Similarity Analysis |
Tipo |
bookPart |