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
Official URL: http://ieeexplore.ieee.org/iel5/10849/34190/016301...
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|
|Deposited On:||28 Jun 2006|
|Last Modified:||11 Aug 2010 15:30|
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