By Topic

Hybrid systems for medical data analysis and decision making-a case study on varicose vein disorders

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
$31 $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

4 Author(s)
Bailey, M. ; Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand ; Solomon, C. ; Kasabov, N. ; Greig, S.

This paper examines the applicability of intelligent information processing techniques for the analysis of vascular laboratory data associated with varicose vein disorders. In the first section a brief description of varicose disease is provided. Next, the notion of applying different types of neural network to learning the dynamics of the disease is examined in two experiments. Subsequent to these, a new approach to visualising the output of a Kohonen network is presented. A brief discussion then follows on an architecture for combining these networks into an intelligent hybrid decision making system. Finally, directions for future research are discussed

Published in:

Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on

Date of Conference:

20-23 Nov 1995