By Topic

Gaining features in medicine using various data-mining techniques

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

3 Author(s)
M. Mertik ; Lab. for Syst. design, Maribor Univ., Slovenia ; P. Kokol ; B. Zalar

Widespread use of medical information systems and explosive growth of medical databases require traditional manual data analysis to be coupled with methods for efficient computer-assisted analysis. In this article we present and discuss various methods for knowledge discovery in medicine databases. We present the use of different methods within multimethod data mining tool in the medicine domain, more especially on the domain of complementary and alternative medicine in the case of bronchial asthma. We demonstrate the importance of using different methods for the mining of data in such cases, and discuss the results based on our experiments. We conclude with the future work and the idea of "knowledge-mining, wisdom-discovery" considered described approach.

Published in:

IEEE 3rd International Conference on Computational Cybernetics, 2005. ICCC 2005.

Date of Conference:

13-16 April 2005