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A comparison of machine learning techniques for survival prediction in breast cancer
BACKGROUND: 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 been successfully used to complement the clinical and...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3108919/ https://ncbi.nlm.nih.gov/pubmed/21569330 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1756-0381-4-12 |
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