Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/11443

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dc.contributor.authorGonçalves, Diana-
dc.contributor.authorSantos, Maribel Yasmina-
dc.contributor.authorCruz, Jorge M.-
dc.date.accessioned2010-12-23T17:31:47Z-
dc.date.available2010-12-23T17:31:47Z-
dc.date.issued2010-
dc.identifier.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.por
dc.identifier.isbn978-0-7695-3981-2-
dc.identifier.urihttps://hdl.handle.net/1822/11443-
dc.description.abstractPrimary 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.por
dc.description.sponsorship(undefined)por
dc.language.isoengpor
dc.rightsopenAccesspor
dc.subjectPrimary hyperhidrosispor
dc.subjectEndoscopic thoracic sympathectomypor
dc.subjectBusiness intelligencepor
dc.subjectOn-line analytical processingpor
dc.subjectData miningpor
dc.titleAnalysis of the quality of life after an endoscopic thoracic sympathectomy : a business intelligence approachpor
dc.typeconferencePaperpor
dc.peerreviewedyespor
oaire.citationStartPage1por
oaire.citationEndPage6por
dc.identifier.doi10.1109/DBKDA.2010.12por
sdum.conferencePublication2nd International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010por
Aparece nas coleções:DSI - Engenharia da Programação e dos Sistemas Informáticos

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