A Breast Cancer Diagnosis System: A Combined Approach Using Rough Sets and Probabilistic Neural Networks
Authors:
- K. RevettKRK. Revett
- F. GorunescuFGF. Gorunescu
- M. GorunescuMGM. Gorunescu
- E. El-DarziEEE. El-Darzi
- M. EneMEM. Ene
- 1 January 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 1124-1127
Abstract
In this paper, we present a medical decision support system based on a hybrid approach utilizing rough sets and a probabilistic neural network. We utilized the ability of rough sets to perform dimensionality reduction to eliminate redundant attributes from a biomedical dataset. We then utilized a probabilistic neural network to perform supervised classification. Our results indicate that rough sets were 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
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