Evaluation of Prognosis in Nasopharyngeal Cancer Using Machine Learning.

Journal: Technology in cancer research & treatment
Published Date:

Abstract

BACKGROUND AND AIM: Although the prognosis of nasopharyngeal cancer largely depends on a classification based on the tumor-lymph node metastasis staging system, patients at the same stage may have different clinical outcomes. This study aimed to evaluate the survival prognosis of nasopharyngeal cancer using machine learning.

Authors

  • Melek Akcay
    Department of Radiation Oncology, Medical Faculty of Osmangazi University, Eskişehir, Turkey.
  • Durmus Etiz
    Department of Radiation Oncology, Medical Faculty of Osmangazi University, Eskişehir, Turkey.
  • Özer Çelik
    Department of Mathematics and Computer, Faculty of Science and Letters, Eskişehir Osmangazi University, Eskişehir, Turkey.
  • Alaattin Ozen
    Department of Radiation Oncology, Medical Faculty of Osmangazi University, Eskişehir, Turkey.