Random Survival Forests to Predict Disease Control for Hepatocellular Carcinoma Treated With Transarterial Chemoembolization Combined With Sorafenib

Random Survival Forests to Predict Disease Control for Hepatocellular Carcinoma Treated With Transarterial Chemoembolization Combined With Sorafenib

Objectives: To use baseline variables to predict one-year disease control for patients with hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE) combined with sorafenib as initial treatment by applying a machine learning approach based on the random survival forest (RF)...

Full description

Bibliographic Details
Main Authors: Bin-Yan Zhong, Zhi-Ping Yan, Jun-Hui Sun, Lei Zhang, Zhong-Heng Hou, Xiao-Li Zhu, Ling Wen, Cai-Fang Ni
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Molecular Biosciences
Subjects:
hepatocellular carcinoma
transarterial chemoembolization
sorafenib
disease control
random survival forest
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2021.618050/full

Similar Items

Similar Items