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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    Background Citations
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    References

    SHOWING 1-10 OF 27 REFERENCES
    Expert system based on neuro-fuzzy rules for diagnosis breast cancer
    • 120
    The prediction of breast cancer biopsy outcomes using two CAD approaches that both emphasize an intelligible decision process.
    • 163
    Neuro-fuzzy classification of prostate cancer using NEFCLASS-J
    • 39
    Breast Cancer Screening: A Summary of the Evidence for the U.S. Preventive Services Task Force
    • 1,086
    • PDF
    Usage of Case-Based Reasoning, Neural Network and Adaptive Neuro-Fuzzy Inference System Classification Techniques in Breast Cancer Dataset Classification Diagnosis
    • 60
    • PDF
    ESTDD: Expert system for thyroid diseases diagnosis
    • 114
    Breast Imaging Reporting and Data System: inter- and intraobserver variability in feature analysis and final assessment.
    • 1,013
    Obtaining interpretable fuzzy classification rules from medical data
    • 392
    • Highly Influential
    Cancer Statistics, 2005
    • 5,383
    Fuzzy decision trees: issues and methods
    • C. Janikow
    • Mathematics, Computer Science
    • IEEE Trans. Syst. Man Cybern. Part B
    • 1998
    • 645
    • PDF