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Predicting the Survival of Gastric Cancer Patients Using Artificial and Bayesian Neural Networks
INTRODUCTION AND PURPOSE: In recent years the use of neural networks without any premises for investigation of prognosis in analyzing survival data has increased. Artificial neural networks (ANN) use small processors with a continuous network to solve problems inspired by the human brain. Bayesian n...
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| Publicado no: | Asian Pac J Cancer Prev |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
West Asia Organization for Cancer Prevention
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5980938/ https://ncbi.nlm.nih.gov/pubmed/29480983 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.22034/APJCP.2018.19.2.487 |
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