Evaluation of Prognosis in Nasopharyngeal Cancer Using Machine Learning

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Akcay M. Ç., ETİZ D., Celik Ö., ÖZEN A.

TECHNOLOGY IN CANCER RESEARCH & TREATMENT, cilt.19, 2020 (SCI-Expanded, Scopus) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 19
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1177/1533033820909829
  • Dergi Adı: TECHNOLOGY IN CANCER RESEARCH & TREATMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, EMBASE, MEDLINE
  • Anahtar Kelimeler: nasopharyngeal cancer, radiotherapy, prognosis, machine learning, INTENSITY-MODULATED RADIOTHERAPY, BARR-VIRUS DNA, NEUTROPHIL-LYMPHOCYTE RATIO, LACTATE-DEHYDROGENASE LEVEL, LONG-TERM SURVIVAL, POOR-PROGNOSIS, CARCINOMA, PREDICTS, ANEMIA
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

Background and Aim: