- Turkish Journal of Medical Sciences
- Vol: 40 Issue: 5
- Prediction of prostate cancer using decision tree algorithm
Prediction of prostate cancer using decision tree algorithm
Authors : Kemal Hakan Gülkesen, Ismail Türker Köksal, Sebahat Özdem, Osman Saka
Pages : 681-686
View : 19 | Download : 5
Publication Date : 9999-12-31
Article Type : Makaleler
Abstract :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. Materials and methods: Quick, Unbiased and Efficient Statistical Tree (QUEST) algorithm was used in 750 patients who had a serum PSA levels between 0 and 10 ng/mL. Results: The analysis indicated that following five nodes had different levels of cancer possibility: (1) PSA > 5.98 ng/mL; (2) PSAKeywords : Key words: