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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Detalles Bibliográficos
Autores principales: Kangi, Azam Korhani, Bahrampour, Abbas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980938/
https://www.ncbi.nlm.nih.gov/pubmed/29480983
http://dx.doi.org/10.22034/APJCP.2018.19.2.487

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980938/
https://www.ncbi.nlm.nih.gov/pubmed/29480983
http://dx.doi.org/10.22034/APJCP.2018.19.2.487

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