Improving Gastric Cancer Outcome Prediction Using Single Time-Point Artificial Neural Network Models

In cancer studies, the prediction of cancer outcome based on a set of prognostic variables has been a long-standing topic of interest. Current statistical methods for survival analysis offer the possibility of modelling cancer survivability but require unrealistic assumptions about the survival time...

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Detalles Bibliográficos
Autores principales: Nilsaz-Dezfouli, Hamid, Abu-Bakar, Mohd Rizam, Arasan, Jayanthi, Adam, Mohd Bakri, Pourhoseingholi, Mohamad Amin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5392036/
https://www.ncbi.nlm.nih.gov/pubmed/28469384
http://dx.doi.org/10.1177/1176935116686062

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5392036/
https://www.ncbi.nlm.nih.gov/pubmed/28469384
http://dx.doi.org/10.1177/1176935116686062

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