Prediction of prostate cancer using decision tree algorithm

GÜLKESEN K. H., KÖKSAL İ. T., ÖZDEM S., Saka O.

TURKISH JOURNAL OF MEDICAL SCIENCES, cilt.40, sa.5, ss.681-686, 2010 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 40 Sayı: 5
  • Basım Tarihi: 2010
  • Doi Numarası: 10.3906/sag-0906-47
  • Dergi Adı: TURKISH JOURNAL OF MEDICAL SCIENCES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.681-686
  • Anahtar Kelimeler: Prostatic neoplasms, prostate-specific antigen, decision trees, DIGITAL RECTAL EXAMINATION, ARTIFICIAL NEURAL-NETWORK, SCREENING POPULATION, ANTIGEN, SERUM, BIOPSY, RATIO, CLASSIFICATION, VALIDATION, PERCENTAGE
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Aim: Serum Prostate Specific Antigen (PSA) level is used for prediction of cancer, but this approach suffers from weak sensitivity and specificity. We applied binary-split decision tree (DT) algorithm to prostate cancer prediction problem.