The Discovery of Oral Cancer Prognostic Factor Ranking Using Association Rule Mining.

Objective:  A 5-year survival rate is a predictor for the assessment of oral cancer prognosis. The purpose of this study is to analyze oral cancer data to discover and rank the prognostic factors associated with oral cancer 5-year survival using the association rule mining (ARM) technique.

Materials And Methods:  This study is a retrospective analysis of 897 oral cancer patients from a regional cancer center between 2011 and 2017.

Survival estimation of oral cancer using fuzzy deep learning.

Background: Oral cancer is a deadly disease and a major cause of morbidity and mortality worldwide. The purpose of this study was to develop a fuzzy deep learning (FDL)-based model to estimate the survival time based on clinicopathologic data of oral cancer.

Methods: Electronic medical records of 581 oral squamous cell carcinoma (OSCC) patients, treated with surgery with or without radiochemotherapy, were collected retrospectively from the Oral and Maxillofacial Surgery Clinic and the Regional Cancer Center from 2011 to 2019.