Cargando…
Two-step feature selection for predicting survival time of patients with metastatic castrate resistant prostate cancer
Metastatic castrate resistant prostate cancer (mCRPC) is the major cause of death in prostate cancer patients. Even though some options for treatment of mCRPC have been developed, the most effective therapies remain unclear. Thus finding key patient clinical variables related with mCRPC is an import...
Autor principal: | Shiga, Motoki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5130083/ https://www.ncbi.nlm.nih.gov/pubmed/27990267 http://dx.doi.org/10.12688/f1000research.8201.1 |
Ejemplares similares
-
Predicting survival time for metastatic castration resistant prostate cancer: An iterative imputation approach
por: Deng, Detian, et al.
Publicado: (2016) -
Heterogeneous ensembles for predicting survival of metastatic, castrate-resistant prostate cancer patients
por: Pölsterl, Sebastian, et al.
Publicado: (2017) -
A predictive model of overall survival in patients with metastatic castration-resistant prostate cancer
por: Mahmoudian, Mehrad, et al.
Publicado: (2019) -
Survival prognosis and variable selection: A case study for metastatic castrate resistant prostate cancer patients
por: Wengel Mogensen, Søren, et al.
Publicado: (2016) -
An ensemble-based Cox proportional hazards regression framework for predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patients
por: Meier, Richard, et al.
Publicado: (2016)