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) identifier identifier identifier

  • 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.