An online survival predictor in glioma patients using machine learning based on WHO CNS5 data

An online survival predictor in glioma patients using machine learning based on WHO CNS5 data

BackgroundThe World Health Organization (WHO) CNS5 classification system highlights the significance of molecular biomarkers in providing meaningful prognostic and therapeutic information for gliomas. However, predicting individual patient survival remains challenging due to the lack of integrated q...

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Bibliographic Details
Main Authors: Liguo Ye, Lingui Gu, Zhiyao Zheng, Xin Zhang, Hao Xing, Xiaopeng Guo, Wenlin Chen, Yaning Wang, Yuekun Wang, Tingyu Liang, Hai Wang, Yilin Li, Shanmu Jin, Yixin Shi, Delin Liu, Tianrui Yang, Qianshu Liu, Congcong Deng, Yu Wang, Wenbin Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Neurology
Subjects:
glioma
WHO CNS5
machine learning
predictive analytics
prognosis
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2023.1179761/full

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https://www.frontiersin.org/articles/10.3389/fneur.2023.1179761/full

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