Prediction of prostate cancer using decision tree algorithm

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

TURKISH JOURNAL OF MEDICAL SCIENCES, vol.40, no.5, pp.681-686, 2010 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 40 Issue: 5
  • Publication Date: 2010
  • Doi Number: 10.3906/sag-0906-47
  • Journal Name: TURKISH JOURNAL OF MEDICAL SCIENCES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.681-686
  • Keywords: Prostatic neoplasms, prostate-specific antigen, decision trees, DIGITAL RECTAL EXAMINATION, ARTIFICIAL NEURAL-NETWORK, SCREENING POPULATION, ANTIGEN, SERUM, BIOPSY, RATIO, CLASSIFICATION, VALIDATION, PERCENTAGE
  • Akdeniz University Affiliated: Yes

Abstract

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.