A comparison of machine learning techniques for survival prediction in breast cancer
<p>Abstract</p> <p>Background</p> <p>The ability to accurately classify cancer patients into risk classes, i.e. to predict the outcome of the pathology on an individual basis, is a key ingredient in making therapeutic decisions. In recent years gene expression data have...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2011-05-01
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| Series: | BioData Mining |
| Online Access: | http://www.biodatamining.org/content/4/1/12 |