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 Publishing
2017-02-01
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| Series: | Cancer Informatics |
| Online Access: | https://doi.org/10.1177/1176935116686062 |