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Weakly supervised temporal model for prediction of breast cancer distant recurrence

Efficient prediction of cancer recurrence in advance may help to recruit high risk breast cancer patients for clinical trial on-time and can guide a proper treatment plan. Several machine learning approaches have been developed for recurrence prediction in previous studies, but most of them use only...

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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Sanyal, Josh, Tariq, Amara, Kurian, Allison W., Rubin, Daniel, Banerjee, Imon
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8096809/
https://ncbi.nlm.nih.gov/pubmed/33947927
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-89033-6
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