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Comparison between artificial neural network and Cox regression model in predicting the survival rate of gastric cancer patients
The aim of this study was to determine the prognostic factors and their significance in gastric cancer (GC) patients, using the artificial neural network (ANN) and Cox regression hazard (CPH) models. A retrospective analysis was undertaken, including 289 patients with GC who had undergone gastrectom...
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| Main Authors: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
D.A. Spandidos
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3917700/ https://ncbi.nlm.nih.gov/pubmed/24649024 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3892/br.2013.140 |
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