Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/13953

TitleA business intelligence infrastructure supporting respiratory health analysis
Author(s)Dinis, Ricardo
Ribeiro, A.
Santos, Maribel Yasmina
Cruz, Jorge M.
Araújo, Artur Teles de
KeywordsBusiness intelligence
Data mining
On-line analytical processing
Chronic obstructive pulmonary disease
Issue dateSep-2011
Abstract(s)Business Intelligence Systems are being designed and implemented to support data analysis tasks that help organizations in the achievement of their goals. These tasks are accomplished using several technologies aimed to store and analyze data. This paper presents the particular case of the design and implementation of a business intelligence system to support health care specialists in the analysis and characterization of symptoms related with the chronic obstructive pulmonary disease. For this specific application domain, a data mart model is proposed, implemented and loaded, allowing the analysis of the available data using on-line analytical processing technology and a spatial data mining algorithm. The results obtained so far are promising, demonstrating the usefulness of the proposed business intelligence approach to characterize the key factors in the comprehension of the disease under analysis.
TypeConference paper
URIhttp://hdl.handle.net/1822/13953
ISBN978-1-61208-160-1
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:DSI - Engenharia da Programação e dos Sistemas Informáticos

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