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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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| Hoofdauteurs: | , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Kowsar
2013
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| Onderwerpen: | |
| Online toegang: | 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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