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Deep learning-based survival prediction of oral cancer patients
The Cox proportional hazards model commonly used to evaluate prognostic variables in survival of cancer patients may be too simplistic to properly predict a cancer patient’s outcome since it assumes that the outcome is a linear combination of covariates. In this retrospective study including 255 pat...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6502856/ https://ncbi.nlm.nih.gov/pubmed/31061433 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-43372-7 |
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