Cart (Loading....) | Create Account
Close category search window
 

Knowledge discovery in medical databases based on rough sets and attribute-oriented generalization

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

1 Author(s)
Tsumoto, S. ; Tokyo Med. & Dental Univ., Japan

This paper presents a knowledge discovery system based on rough sets and attribute-oriented generalization and its application to medicine. Diagnostic rules and information on attributes are extracted from clinical databases on diseases of congenital anomaly. The induced results show that this method extracts experts' knowledge correctly and it also discovers that symptoms observed in six positions (eyes, noses, ears, lips, fingers and feet) play important roles in differential diagnosis

Published in:

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on  (Volume:2 )

Date of Conference:

4-9 May 1998

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.