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A Business Intelligence Infrastructure Supporting Respiratory Health Analysis

Authors:
Ricardo Dinis
Alexandre Ribeiro
Maribel Y. Santos
Jorge Cruz
Artur Teles de Araújo

Keywords: business intelligence; data mining; on-line analytical processing; chronic obstructive pulmonary disease

Abstract:
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.

Pages: 13 to 19

Copyright: Copyright (c) IARIA, 2011

Publication date: September 25, 2011

Published in: conference

ISSN: 2308-4391

ISBN: 978-1-61208-160-1

Location: Rome, Italy

Dates: from September 25, 2011 to September 30, 2011