A Case-Based Approach to Nosocomial Infection Detection


Autoria(s): Faria, Ricardo; Vicente, Henrique; Abelha, António; Santos, M. Filipe; Machado, José; Neves, José
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

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