Hedged Predictions for Traditional Chinese Chronic Gastritis Diagnosis with Confidence Machine

@article{Wang2008HedgedPF,
  title={Hedged Predictions for Traditional Chinese Chronic Gastritis Diagnosis with Confidence Machine},
  author={Hua-zhen Wang and Cheng-de Lin and Fan Yang and Xueqin Hu},
  journal={2008 International Conference on Computer Science and Information Technology},
  year={2008},
  pages={34-38}
}
Traditional Chinese chronic gastritis diagnosis focuses on producing an accurate classifier and uncovering the predictive confidence for individual instance. Transductive confidence machine (TCM), which is a novel framework that provides hedged prediction coupled with valid confidence. In the framework of TCM, the efficiency of prediction depends on the nonconformity measure of samples. This paper incorporates random forests (RF) to propose a new TCM algorithm named TCM-RF. Our method benefits… CONTINUE READING

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