Open AccessDetermination of Survival of Gastric Cancer Patients With Distant Lymph Node Metastasis Using Prealbumin Level and Prothrombin Time: Contour Plots Based on Random Survival Forest Algorithm on High-Dimensionality Clinical and Laboratory Datasets
Author(s) -
Cheng Zhang,
Minmin Xie,
Yi Zhang,
Xiaopeng Zhang,
Chong Feng,
Zhijun Wu,
Ying Feng,
Yahui Yang,
Hui Xu,
Tai Ma
Publication year - 2022
Publication title -
journal of gastric cancer/daehan wiam haghoeji
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.806
H-Index - 28
eISSN - 2093-5641
pISSN - 1598-1320
DOI - 10.5230/jgc.2022.22.e12
Subject(s) - medicine , random forest , algorithm , survival analysis , oncology , survival rate , logistic regression , metastasis , lymph node , cancer , artificial intelligence , mathematics , computer science
This study aimed to identify prognostic factors for patients with distant lymph node-involved gastric cancer (GC) using a machine learning algorithm, a method that offers considerable advantages and new prospects for high-dimensional biomedical data exploration.