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

BACKGROUND: The 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...

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Detalles Bibliográficos
Autores principales: Ye, Liguo, Gu, Lingui, Zheng, Zhiyao, Zhang, Xin, Xing, Hao, Guo, Xiaopeng, Chen, Wenlin, Wang, Yaning, Wang, Yuekun, Liang, Tingyu, Wang, Hai, Li, Yilin, Jin, Shanmu, Shi, Yixin, Liu, Delin, Yang, Tianrui, Liu, Qianshu, Deng, Congcong, Wang, Yu, Ma, Wenbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10237015/
https://www.ncbi.nlm.nih.gov/pubmed/37273702
http://dx.doi.org/10.3389/fneur.2023.1179761

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10237015/
https://www.ncbi.nlm.nih.gov/pubmed/37273702
http://dx.doi.org/10.3389/fneur.2023.1179761

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