Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/11443

TitleAnalysis of the quality of life after an endoscopic thoracic sympathectomy : a business intelligence approach
Author(s)Gonçalves, Diana
Santos, Maribel Yasmina
Cruz, Jorge M.
KeywordsPrimary hyperhidrosis
Endoscopic thoracic sympathectomy
Business intelligence
On-line analytical processing
Data mining
Issue date2010
CitationLAUX, Fritz ; STROMBACK, Lena, eds. – “Proceedings of the Second International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2010), Menuires, France, 2010.” Los Alamitos : IEEE Computer Society 2010. ISBN 978-0-7695-3981-2. p. 1-6.
Abstract(s)Primary hyperhidrosis, a disorder characterized by an excessive sweating, has been treated by endoscopic thoracic sympathectomy. As a consequence of the surgery, patients improved their overall quality of life. Their day-by-day activities are not affected, or are less affected, by this disorder, and their emotional state verifies a significant improvement, from a situation of shame and self-punishing to what we could say a normal life. This paper presents the analysis of the quality of life of 227 patients that were treated by an endoscopic thoracic sympathectomy. The study was based on the use of business intelligence technologies, which allowed the storage, the analysis and the reporting of all the relevant findings. In technological terms, this paper illustrates the database and data analysis developments needed in a specific healthcare application domain. For data storage, a data mart was designed addressing the relevant attributes. For data analysis, on-line analytical processing and data mining technologies were used to show the evolution of the patients’ health condition and the incidence of complications or side effects as consequence of the surgery.
TypeconferencePaper
URIhttp://hdl.handle.net/1822/11443
ISBN978-0-7695-3981-2
DOI10.1109/DBKDA.2010.12
Peer-Reviewedyes
AccessopenAccess
Appears in Collections:DSI - Engenharia da Programação e dos Sistemas Informáticos

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