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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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| Publicado en: | Sci Rep |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acceso en liña: | 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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