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Assessing the Effect of Quantitative and Qualitative Predictors on Gastric Cancer Individuals Survival Using Hierarchical Artificial Neural Network Models

BACKGROUND: There are numerous unanswered questions in the application of artificial neural network models for analysis of survival data. In most studies, independent variables have been studied as qualitative dichotomous variables, and results of using discrete and continuous quantitative, ordinal,...

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Detalhes bibliográficos
Main Authors: Amiri, Zohreh, Mohammad, Kazem, Mahmoudi, Mahmood, Parsaeian, Mahbubeh, Zeraati, Hojjat
Formato: Artigo
Idioma:Inglês
Publicado em: Kowsar 2013
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3589778/
https://ncbi.nlm.nih.gov/pubmed/23486933
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5812/ircmj.4122
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