Neuro-fuzzy classification of prostate cancer using NEFCLASS-J

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Keleş A., Hasiloglu A., Keleş A., Aksoy Y.

COMPUTERS IN BIOLOGY AND MEDICINE, cilt.37, sa.11, ss.1617-1628, 2007 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 37 Sayı: 11
  • Basım Tarihi: 2007
  • Doi Numarası: 10.1016/j.compbiomed.2007.03.006
  • Dergi Adı: COMPUTERS IN BIOLOGY AND MEDICINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1617-1628
  • Anahtar Kelimeler: medical diagnosis, data analysis, neuro-fuzzy classification, prostate cancer, benign prostatic hyperplasia
  • Atatürk Üniversitesi Adresli: Evet

Özet

Medical diagnosis has been the most proper area for the implementations of artificial intelligence for approximately 20 years. In this paper, a new approach based on neuro-fuzzy classification (NEFCLASS) tool has been presented to classify prostate cancer. The tool has the features of batch learning, automatic cross validation, automatic determination of the rule base size, and handling of missing values to increase its interpretability. We have investigated how good medical data analysis could be done with NEFCLASS-J, and what effects selected parameters have on classifier performances. Medical data were obtained from patients with real prostate cancer and benign prostatic hyperplasia (BPH).