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