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Improving survival prediction using a novel feature selection and feature reduction framework based on the integration of clinical and molecular data*
The accurate prediction of a cancer patient’s risk of progression or death can guide clinicians in the selection of treatment and help patients in planning personal affairs. Predictive models based on patient-level data represent a tool for determining risk. Ideally, predictive models will use multi...
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| Publicat a: | Pac Symp Biocomput |
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| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6941850/ https://ncbi.nlm.nih.gov/pubmed/31797615 |
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