Development and validation of a machine learning-based survival prediction model for Asian glioblastoma patients using the SEER database and Chinese data

Development and validation of a machine learning-based survival prediction model for Asian glioblastoma patients using the SEER database and Chinese data

Abstract Glioblastoma is an aggressive, malignant primary brain tumour and the most prevalent histological type of glioma. Our study attempted to investigate the independent predictors of overall survival (OS) and cancer-specific survival (CSS) in Asian patients with glioblastoma and establish predi...

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Bibliographic Details
Main Authors: Denglin Li, Luxin Zhang, Lifei Xu, Renhe Zhai, Hanyu Gao, Junlan Gao, Minghai Wei, Ningwei Che, Yeting He
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Glioblastoma
Survival
Risk factor
Machine learning
Predictive model
Online Access:https://doi.org/10.1038/s41598-025-15553-0
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