Researcher Collab

Evaluation of Prognosis in Nasopharyngeal Cancer Using Machine Learning

Technology in Cancer Research & Treatment

Many factors affect prognosis in cancer, and machine learning algorithms can be used to determine which factors have a greater effect on survival prognosis, which then allows further research into these factors. In the current study, Gaussian Naive Bayes was identified as the best algorithm for the evaluation of prognosis of nasopharyngeal cancer.

Authors: Melek Akçay, Durmuş Etiz, Özer Çelik, Alaattin Özen

DOI: https://doi.org/10.1177/1533033820909829

Publish Year: 2020