Comparison of MRI radiomics-based machine learning survival models in predicting prognosis of glioblastoma multiforme

Comparison of MRI radiomics-based machine learning survival models in predicting prognosis of glioblastoma multiforme

ObjectiveTo compare the performance of radiomics-based machine learning survival models in predicting the prognosis of glioblastoma multiforme (GBM) patients.Methods131 GBM patients were included in our study. The traditional Cox proportional-hazards (CoxPH) model and four machine learning models (S...

Full description

Bibliographic Details
Main Authors: Di Zhang, Jixin Luan, Bing Liu, Aocai Yang, Kuan Lv, Pianpian Hu, Xiaowei Han, Hongwei Yu, Amir Shmuel, Guolin Ma, Chuanchen Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Medicine
Subjects:
glioblastoma multiforme
radiomics
machine learning
survival models
prognosis
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1271687/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1271687/full

Similar Items