An application of a genetic algorithm in conjunction with other data mining methods for estimating outcome after hospitalization in cancer patients

BOZCUK, HAKAN; Bilge, UĞUR; KOYUNCU, E; Gulkesen, KEMAL

An application of a genetic algorithm in conjunction with other data mining methods for estimating outcome after hospitalization in cancer patients

BOZCUK H. Ş., Bilge U., KOYUNCU E., Gulkesen H.

MEDICAL SCIENCE MONITOR, cilt.10, sa.6, 2004 (SCI-Expanded, Scopus)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 10 Sayı: 6
Basım Tarihi: 2004
Dergi Adı: MEDICAL SCIENCE MONITOR
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Anahtar Kelimeler: cancer, mortality, genetic algorithm, recursive partitioning, neural network, prognosis, PROGNOSTIC-FACTORS, LOGISTIC-REGRESSION, SURVIVAL, PREDICTION, CARCINOMA
Akdeniz Üniversitesi Adresli: Evet

Özet

Background: We investigated which factors predicted the risk of in-hospital mortality in a general population of cancer patients with non-terminal disease and whether employing the genetic algorithm technique would be useful in this regard.