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A coupling approach of a predictor and a descriptor for breast cancer prognosis
BACKGROUND: In cancer prognosis research, diverse machine learning models have applied to the problems of cancer susceptibility (risk assessment), cancer recurrence (redevelopment of cancer after resolution), and cancer survivability, regarding an accuracy (or an AUC--the area under the ROC curve) a...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4101306/ https://www.ncbi.nlm.nih.gov/pubmed/25080202 http://dx.doi.org/10.1186/1755-8794-7-S1-S4 |