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使用SEER数据库和中国数据开发和验证基于机器学习的亚洲质母细胞瘤患者生存预测模型

Denglin Li1, Luxin Zhang2, Lifei Xu1

  • 1Department of Neurosurgery, Second Affiliated Hospital of Dalian Medical University, No.467, Zhongshan Road, Dalian, 116011, Liaoning Province, China.

Scientific reports
|August 24, 2025
PubMed
概括

这项研究确定了亚洲质母细胞瘤患者的总生存 (OS) 和癌症特异性生存 (CSS) 的关键预测因素是年龄,瘤史,组织学,手术和化疗. 一个通用增强回归建模 (GBM) 算法准确预测患者的结果.

关键词:
质母细胞瘤机器学习预测模型风险因素生存情况

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