Practice of the new supervised machine learning predictive analytics for glioma patient survival after tumor resection: Experiences in a high-volume Chinese center

OBJECTIVE: This study aims to assess the effectiveness of the Gradient Boosting (GB) algorithm on glioma prognosis prediction and to explore new predictive models for glioma patient survival after tumor resection. METHODS: A cohort of 776 glioma cases (WHO grades II–IV) between 2010 and 2017 was obt...

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Detalles Bibliográficos
Autores principales: Li, Yushan, Ye, Maodong, Jia, Baolong, Chen, Linwei, Zhou, Zubang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Surgery
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9981970/
https://www.ncbi.nlm.nih.gov/pubmed/36873808
http://dx.doi.org/10.3389/fsurg.2022.975022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9981970/
https://www.ncbi.nlm.nih.gov/pubmed/36873808
http://dx.doi.org/10.3389/fsurg.2022.975022

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