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Biomedical Data Mining Using RBF Neural Networks

Biomedical Data Mining Using RBF Neural Networks

Fang Chu, Lipo Wang
Copyright: © 2005 |Pages: 6
ISBN13: 9781591405573|ISBN10: 1591405572|EISBN13: 9781591405597
DOI: 10.4018/978-1-59140-557-3.ch021
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MLA

Chu, Fang, and Lipo Wang. "Biomedical Data Mining Using RBF Neural Networks." Encyclopedia of Data Warehousing and Mining, edited by John Wang, IGI Global, 2005, pp. 106-111. https://doi.org/10.4018/978-1-59140-557-3.ch021

APA

Chu, F. & Wang, L. (2005). Biomedical Data Mining Using RBF Neural Networks. In J. Wang (Ed.), Encyclopedia of Data Warehousing and Mining (pp. 106-111). IGI Global. https://doi.org/10.4018/978-1-59140-557-3.ch021

Chicago

Chu, Fang, and Lipo Wang. "Biomedical Data Mining Using RBF Neural Networks." In Encyclopedia of Data Warehousing and Mining, edited by John Wang, 106-111. Hershey, PA: IGI Global, 2005. https://doi.org/10.4018/978-1-59140-557-3.ch021

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Abstract

Accurate diagnosis of cancers is of great importance for doctors to choose a proper treatment. Furthermore, it also plays a key role in the searching for the pathology of cancers and drug discovery. Recently, this problem attracts great attention in the context of microarray technology. Here, we apply radial basis function (RBF) neural networks to this pattern recognition problem. Our experimental results in some well-known microarray data sets indicate that our method can obtain very high accuracy with a small number of genes.

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