Improving gastric cancer outcome prediction using single time-point artificial neural network models

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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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Bibliographic Details
Main Authors:	Dezfouli, Hamid Nilsaz, Abu Bakar, Mohd Rizam, Arasan, Jayanthi, Adam, Mohd Bakri, Pourhoseingholi, Mohamad Amin
Format:	Article
Language:	English
Published:	Sage Publications 2017
Online Access:	http://psasir.upm.edu.my/id/eprint/62125/ http://psasir.upm.edu.my/id/eprint/62125/1/Improving%20gastric%20cancer.pdf

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