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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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Библиографические подробности
Главные авторы: Kim, Juhyeon, Shin, Hyunjung
Формат: Artigo
Язык:Inglês
Опубликовано: BMJ Publishing Group 2013
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Online-ссылка: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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