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Title: Evaluation of Nosocomial Infection Risk Using a Hybrid Approach
Authors: Neves, José
Silva, Eva
Neves, João
Vicente, Henrique
Editors: Machado, José
Abelha, António
Keywords: Nosocomial Infection
Knowledge Representation and Reasoning
Logic Programming
Artificial Neural Networks
Defective Information
Issue Date: 2016
Publisher: IGI Global
Citation: Neves, J., Silva, E., Neves, J. & Vicente, H., Evaluation of Nosocomial Infection Risk Using a Hybrid Approach. In J. Machado & A. Abelha, Eds., Applying Business Intelligence to Clinical and Healthcare Organizations, Advances in Bioinformatics and Biomedical Engineering, pp. 24–42, IGI Global, Hershey, USA, 2016.
Abstract: Nosocomial infections have severe consequences for the patients and the society in general, being one of the causes that increase the length of stay in healthcare facilities. Therefore, it is of utmost importance to be preventive, being aware of how probable is to have that kind of infection, although it is hard to do with traditional methodologies and tools for problem solving. Therefore, this work will focus on the development of a decision support system that will cater for an individual risk evaluation tool with respect to catch nosocomial infections. The Knowledge Representation and Reasoning procedures used will be based on an extension to the Logic Programming language, allowing the handling of incomplete and/or default data. The computational framework in place will be centered on Artificial Neural Networks. It may be emphasized that in addition to the nosocomial infections risk evaluation, it is provided the Degree-of-Confidence that one has on such a happening.
ISBN: 9781466698826
Type: bookPart
Appears in Collections:QUI - Publicações - Capítulos de Livros
CQE - Publicações - Capítulos de Livros

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