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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Detalles Bibliográficos
Autores principales: Amiri, Zohreh, Mohammad, Kazem, Mahmoudi, Mahmood, Parsaeian, Mahbubeh, Zeraati, Hojjat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kowsar 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3589778/
https://www.ncbi.nlm.nih.gov/pubmed/23486933
http://dx.doi.org/10.5812/ircmj.4122

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3589778/
https://www.ncbi.nlm.nih.gov/pubmed/23486933
http://dx.doi.org/10.5812/ircmj.4122

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