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Biomedical Data Mining Using RBF Neural Networks

Biomedical Data Mining Using RBF Neural Networks

Feng Chu
Copyright: © 2009 |Pages: 8
ISBN13: 9781605660509|ISBN10: 1605660507|EISBN13: 9781605660516
DOI: 10.4018/978-1-60566-050-9.ch157
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MLA

Chu, Feng. "Biomedical Data Mining Using RBF Neural Networks." Medical Informatics: Concepts, Methodologies, Tools, and Applications, edited by Joseph Tan, IGI Global, 2009, pp. 2066-2073. https://doi.org/10.4018/978-1-60566-050-9.ch157

APA

Chu, F. (2009). Biomedical Data Mining Using RBF Neural Networks. In J. Tan (Ed.), Medical Informatics: Concepts, Methodologies, Tools, and Applications (pp. 2066-2073). IGI Global. https://doi.org/10.4018/978-1-60566-050-9.ch157

Chicago

Chu, Feng. "Biomedical Data Mining Using RBF Neural Networks." In Medical Informatics: Concepts, Methodologies, Tools, and Applications, edited by Joseph Tan, 2066-2073. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-050-9.ch157

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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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