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Survival time prediction by integrating cox proportional hazards network and distribution function network
BACKGROUND: The Cox proportional hazards model is commonly used to predict hazard ratio, which is the risk or probability of occurrence of an event of interest. However, the Cox proportional hazard model cannot directly generate an individual survival time. To do this, the survival analysis in the C...
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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8050908/ https://ncbi.nlm.nih.gov/pubmed/33858319 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04103-w |
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