WestminsterResearch

A rough sets based classifier for primary biliary cirrhosis

Revett, Kenneth (2005) A rough sets based classifier for primary biliary cirrhosis. In: EUROCON 2005: The International Conference on "Computer as a Tool": Belgrade, Serbia and Montenegro, November 21-24 2005. IEEE Computer Society, USA, pp. 1128-1131. ISBN 142440049X

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Official URL: http://ieeexplore.ieee.org/iel5/10849/34190/016301...

Abstract

In this paper, a decision support system is presented based on the machine learning approach of rough sets. The resulting decision support system was able to reduce the dimensionality of the data, produce a highly accurate classifier, and generate a rule based classifier that is readily understood by a domain expert. These preliminary results indicate that the rough sets machine learning approach can be successfully applied to biomedical datasets that contain a variety of attribute types, missing values and multiple decision classes.

Item Type:Book Section
Uncontrolled Keywords:cirrhosis diagnosis, dimensionality reduction, medical decision support systems, rough sets
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:2213
Deposited On:28 Jun 2006
Last Modified:11 Aug 2010 15:30

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