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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sage Publications
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/62125/1/Improving%20gastric%20cancer.pdf |