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|Title: ||A Case-Based Approach to Nosocomial Infection Detection|
|Authors: ||Faria, Ricardo|
Santos, M. Filipe
|Editors: ||Rutkowski, Leszek|
Zadeh, Lotfi A.
Zurada, Jacek M.
|Keywords: ||Nosocomial Infection|
Knowledge Representation and Reasoning
|Issue Date: ||2016|
|Publisher: ||Springer International Publishing|
|Citation: ||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.|
|Abstract: ||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.|
|Appears in Collections:||QUI - Publicações - Capítulos de Livros|
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