Evaluating treatment strategies and machine learning based treatment recommendation system for elderly patients with high grade gliomas

Aggressive treatment, including GTR and adjuvant therapy, can enhance survival outcomes in elderly patients with high-grade gliomas. The machine learning-based personalized treatment recommendation system presents a promising reference tool for treatment decisions.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-08-11
DOI
https://doi.org/10.3389/fonc.2025.1597925
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Evaluating treatment strategies and machine learning based treatment recommendation system for elderly patients with high grade gliomas

Xuelian Yang, Mengyuan Fu, Fei Xiang
Frontiers in Oncology
Radiomics and Machine Learning in Medical Imaging
article

Evaluating treatment strategies and machine learning based treatment recommendation system for elderly patients with high grade gliomas

Xuelian Yang, Mengyuan Fu, Fei Xiang
article en

Abstract

Aggressive treatment, including GTR and adjuvant therapy, can enhance survival outcomes in elderly patients with high-grade gliomas. The machine learning-based personalized treatment recommendation system presents a promising reference tool for treatment decisions.

Frontiers in OncologyVol. 15
The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Chongqing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 70%
Radiomics and Machine Learning in Medical Imaging
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