Extracting fuzzy rules for the diagnosis of breast cancer

@article{Kele2013ExtractingFR,
  title={Extracting fuzzy rules for the diagnosis of breast cancer},
  author={Ali Keleş and Ayt{\"u}rk Keles},
  journal={Turkish Journal of Electrical Engineering and Computer Sciences},
  year={2013},
  volume={21},
  pages={1495-1503}
}
  • Ali Keleş, Aytürk Keles
  • Published 2013
  • Computer Science
  • Turkish Journal of Electrical Engineering and Computer Sciences
  • About one million women are diagnosed with breast cancer every year. Breast cancer makes up one-third of all cancer diagnoses in women. Diagnosing breast cancer early is vital for successful treatment. Among the breast cancer screening methods available today, mammography is the most effective, although the low precision rate of breast biopsy caused by mammogram interpretation results in approximately 70% unnecessary biopsies with benign outcomes. The aim of this study was to extract strong… CONTINUE READING
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