Predicting Survival of Tongue Cancer Patients by Machine Learning Models

This repository contains the dataset used in the paper "Predicting Survival of Tongue Cancer Patients by Machine Learning Models." The dataset contains information on 1712 tongue cancer curative surgery recipients. Each row represents one patient. The meaning of each variable is summarized here: id: patient identifier gender: patient sex survival: patient survival status at follow-up; 0: survival, 1: death follow_time: length of follow-up period in days part: site of operation stage: tumor stage; 0: very small, no spreading, 1: small, no spreading, 2: some growth, spreading, 3: large, spreading to surrounding tissue or lymph nodes, 4A/4B/4C: larger, metastasis to at least one other organ op: operation status; 1: complete rt: radiation therapy status; 0: not received, 1: received ct: chemotherapy status; 0: not received, 1: received t_stage: tumor size; 1 (small) to 4 (large) n_stage: metastasis to lymph nodes; 0 (no metastasis) to 3 (metastasis to multiple lymph nodes) grade: tumor grade; 1 (no proliferation) to 3 (aggressive proliferation)