A breast cancer diagnosis system: a combined approach using rough sets and probabilistic neural networks

Revett, Kenneth and Gorunescu, Florin and Gorunescu, Marina and El-Darzi, Elia and Ene, Marius (2005) A breast cancer diagnosis system: a combined approach using rough sets and probabilistic neural networks. In: EUROCON 2005: the International Conference on "Computer as a Tool": Belgrade, Serbia and Montenegro, November 21-24 2005. IEEE Computer Society, London, UK, pp. 1124-1127. ISBN 142440049X

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

Abstract

In this paper, we present a medical decision support system based on a hybrid approach utilising rough sets and a probabilistic neural network. We utilised the ability of rough sets to perform dimensionality reduction to eliminate redundant attributes from a biomedical dataset. We then utilised a probabilistic neural network to perform supervised classification. Our results indicate that rough sets was able to reduce the number of attributes in the dataset by 67% without sacrificing classification accuracy. Our classification accuracy results yielded results on the order of 93%.

Item Type: Book Section
Uncontrolled Keywords: breast cancer diagnosis, dimensionality reduction, medical decision support systems, Probabilistic Neural Networks, rough sets
Subjects: University of Westminster > Science and Technology > Electronics and Computer Science, School of (No longer in use)
Depositing User: Miss Nina Watts
Date Deposited: 28 Jun 2006
Last Modified: 11 Aug 2010 14:30
URI: http://westminsterresearch.wmin.ac.uk/id/eprint/2214

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