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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| 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 http://psasir.upm.edu.my/id/eprint/62125/ https://journals.sagepub.com/doi/full/10.1177/1176935116686062?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%3dpubmed |
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