Predicting overall survival in glioblastoma patients using machine learning: an analysis of treatment efficacy and patient prognosis
IntroductionGlioblastoma (GBM), the most aggressive primary brain tumor, poses a significant challenge in predicting patient survival due to its heterogeneity and resistance to treatment. Accurate survival prediction is essential for optimizing treatment strategies and improving clinical outcomes.Me...
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| Main Authors: | Razvan Onciul, Felix-Mircea Brehar, Adrian Vasile Dumitru, Carla Crivoi, Razvan-Adrian Covache-Busuioc, Matei Serban, Petrinel Mugurel Radoi, Corneliu Toader |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2025.1539845/full |
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