Home // DBKDA 2013, The Fifth International Conference on Advances in Databases, Knowledge, and Data Applications // View article
Authors:
Vladimir Ivančević
Marko Knežević
Miloš Simić
Ivan Luković
Danica Mandić
Keywords: data warehouse; data mining; business intelligence; epidemiological analysis; absenteeism; disease outbreak prediction
Abstract:
We present Dr Warehouse, an extensible intelligent web-based system for epidemiological analyses. It features a data warehouse containing medical data about registered disease cases and relevant demographical data. There is also a segment of the system that is devoted to presentation and analysis of epidemiological data collected in the data warehouse. The main objectives that we set out for Dr Warehouse include intuitive visualization of epidemiological data, discovery of epidemiological information, and prediction of epidemic dynamics. In the context of epidemiological knowledge discovery, we present a rationale for developing such a system, system architecture of Dr Warehouse, its functionalities, short review of similar systems, and ideas for future development. Furthermore, we describe in more detail choices regarding data modelling, as well as some of the featured predictions and data mining based analyses.
Pages: 204 to 210
Copyright: Copyright (c) IARIA, 2013
Publication date: January 27, 2013
Published in: conference
ISSN: 2308-4332
ISBN: 978-1-61208-247-9
Location: Seville, Spain
Dates: from January 27, 2013 to February 1, 2013