Two Staged Prediction of Gastric Cancer Patient’s Survival Via Machine Learning Techniques

  title={Two Staged Prediction of Gastric Cancer Patient’s Survival Via Machine Learning Techniques},
  author={Peng Liu and Liuwen Li and Chenyang Yu and Shu-ming Fei},
Cancer is one of the most common causes of death in the world, while gastric cancer has the highest incidence in Asia. Predicting gastric cancer patients’ survivability can inform patients care decisions and help doctors prescribe personalized medicine. Classification techniques have been widely used to predict survivability of cancer patients. However, very few attention has been paid to patients who cannot survive. In this research, we consider survival prediction to be a twostaged problem… Expand
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