By Topic

Knowledge discovery from distributed clinical data sources: the era for internet-based epidemiology

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
G. A. Potamias ; Inst. of Comput. Sci., Found. for Res. & Technol.-Hellas, Heraklion, Greece ; V. S. Moustakis

A methodology and the operational framework for knowledge discovery from distributed and heterogeneous clinical data sources are presented. The methodology follows a multi-phase process for the integration, homogenization and intelligent processing of the distributed and heterogeneous data. Its realization is based on the coupling of multidisciplinary technologies ranging from, CORBA-based seamless access to distributed data, to semantic data homogenization operations, and to advanced DTD/XML operations. These operations, coupled with advanced and effective data representation models forms a framework in which effective knowledge discovery (KDD) operations are performed. The fundamental contribution of our work is the incorporation and customization of association rule mining (ARM) operations on top of appropriately generated XML documents. Based on the argument that future databases will use XML-like structures in order to store and retrieve data then, our work presents a promising direction towards internet-based epidemiology as realized by the respective knowledge-discovery from distributed clinical data sources operations.

Published in:

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE  (Volume:4 )

Date of Conference: