Predicting the continuous values of breast cancer relapse time by type-2 fuzzy logic system

@article{Mahmoodian2012PredictingTC,
  title={Predicting the continuous values of breast cancer relapse time by type-2 fuzzy logic system},
  author={Hamid Mahmoodian},
  journal={Australasian Physical & Engineering Sciences in Medicine},
  year={2012},
  volume={35},
  pages={193-204}
}
Microarray analysis and gene expression profile have been widely used in tumor classification, survival analysis and ER statues of breast cancer. Sample discrimination as well as identification of significant genes have been the focus of most previous studies. The aim of this research is to propose a fuzzy model to predict the relapse time of breast cancer by using breast cancer dataset published by van’t Veer. Fuzzy rule mining based on support vector machine has been used in a hybrid method… CONTINUE READING

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