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DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
BACKGROUND: Medical practitioners use survival models to explore and understand the relationships between patients’ covariates (e.g. clinical and genetic features) and the effectiveness of various treatment options. Standard survival models like the linear Cox proportional hazards model require exte...
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| Pubblicato in: | BMC Med Res Methodol |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5828433/ https://ncbi.nlm.nih.gov/pubmed/29482517 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-018-0482-1 |
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