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Staging of Prostate Cancer Using Automatic Feature Selection, Sampling and Dempster-Shafer Fusion

A novel technique of automatically selecting the best pairs of features and sampling techniques to predict the stage of prostate cancer is proposed in this study. The problem of class imbalance, which is prominent in most medical data sets is also addressed here. Three feature subsets obtained by th...

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Detalhes bibliográficos
Main Authors: Chandana, Sandeep, Leung, Henry, Trpkov, Kiril
Formato: Artigo
Idioma:Inglês
Publicado em: Libertas Academica 2009
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2664701/
https://ncbi.nlm.nih.gov/pubmed/19352459
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