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Breast cancer survivability prediction using labeled, unlabeled, and pseudo-labeled patient data
BACKGROUND: Prognostic studies of breast cancer survivability have been aided by machine learning algorithms, which can predict the survival of a particular patient based on historical patient data. However, it is not easy to collect labeled patient records. It takes at least 5 years to label a pati...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BMJ Publishing Group
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3721173/ https://ncbi.nlm.nih.gov/pubmed/23467471 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2012-001570 |
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