Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/19702

Title: Waiting Time Screening in Diagnostic Medical Imaging - A Case-Based View
Authors: Esteves, Marisa
Vicente, Henrique
Gomes, Sabino
Abelha, António
Santos, M. Filipe
Machado, José
Neves, João
Neves, José
Editors: Tan, Ying
Shi, Yuhui
Keywords: Waiting Time
Diagnostic Medical Imaging
Knowledge Representation and Reasoning
Logic Programming
Case-Based Reasoning
Similarity Analysis
Issue Date: 2016
Publisher: Springer International Publishing
Citation: Esteves, M., Vicente, H., Gomes, S., Abelha, A., Santos, M. F., Machado, J., Neves, J. & Neves, J., Waiting Time Screening in Diagnostic Medical Imaging – A Case-based View. In Y. Tan & Y. Shi, Eds., Data Mining and Big Data, Lecture Notes on Computer Science, Vol. 9714, pp. 296–308, Springer International Publishing, Cham, Switzerland, 2016.
Abstract: Due to the high standards expected from diagnostic medical imaging, the analysis of information regarding waiting lists via different information systems is of utmost importance. Such analysis, on the one hand, may improve the diagnostic quality and, on the other hand, may lead to the reduction of waiting times, with the concomitant increase of the quality of services and the reduction of the inherent financial costs. Hence, the purpose of this study is to assess the waiting time in the delivery of diagnostic medical imaging services, like computed tomography and magnetic resonance imaging. Thereby, this work is focused on the development of a decision support system to assess waiting times in diagnostic medical imaging with recourse to operational data of selected attributes extracted from distinct information systems. The computational framework is built on top of a Logic Programming Case-base Reasoning approach to Knowledge Representation and Reasoning that caters for the handling of in-complete, unknown, or even self-contradictory information.
URI: http://link.springer.com/chapter/10.1007/978-3-319-40973-3_30
http://hdl.handle.net/10174/19702
ISBN: 978-3-319-40972-6
ISSN: 0302-9743
Type: bookPart
Appears in Collections:QUI - Publicações - Capítulos de Livros

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