Evaluation of Prognosis in Nasopharyngeal Cancer Using Machine Learning

Creative Commons License

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

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

  • Publication Type: Article / Article
  • Volume: 19
  • Publication Date: 2020
  • Doi Number: 10.1177/1533033820909829
  • Journal Name: TECHNOLOGY IN CANCER RESEARCH & TREATMENT
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, EMBASE, MEDLINE
  • Keywords: 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
  • Eskisehir Osmangazi University Affiliated: Yes

Abstract

Background and Aim: