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DWCox: A density-weighted Cox model for outlier-robust prediction of prostate cancer survival
Reliable predictions on the risk and survival time of prostate cancer patients based on their clinical records can help guide their treatment and provide hints about the disease mechanism. The Cox regression is currently a commonly accepted approach for such tasks in clinical applications. More comp...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
F1000Research
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5321125/ https://www.ncbi.nlm.nih.gov/pubmed/28299178 http://dx.doi.org/10.12688/f1000research.9434.1 |