|Chapter title||A breast cancer diagnosis system: a combined approach using rough sets and probabilistic neural networks|
|Authors||Revett, K., Gorunescu, F., Gorunescu, M., El-Darzi, E. and Ene, M.|
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%.
|Keywords||breast cancer diagnosis, dimensionality reduction, medical decision support systems, Probabilistic Neural Networks, rough sets|
|Book title||EUROCON 2005: the International Conference on "Computer as a Tool": Belgrade, Serbia and Montenegro, November 21-24 2005|
|Place of publication||London, UK|
|Web address (URL)||http://ieeexplore.ieee.org/iel5/10849/34190/01630149.pdf?tp=&arnumber=1630149&isnumber=34190|
|Journal citation||2, pp. 1124-1127|