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Updated: Jan 14, 2026

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基于随机生存森林的生存预测,用于脊髓瘤

Ming Cai1, Hailun Sun1, Jihang Zheng1

  • 1Department of Neurosurgery, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China; Wenzhou Municipal Key Laboratory of Neurodevelopmental Pathology and Physiology, Wenzhou Medical University, Wenzhou, Zhejiang, China.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
|October 16, 2025
PubMed
概括

与传统方法相比,新的随机生存森林 (RSF) 模型为脊髓瘤患者提供了更好的生存预测. 这种先进的模型有助于个性化治疗计划,并为罕见的脊髓瘤提供更好的患者结果.

关键词:
在RSF中使用RSF.风险分层是指风险的分层.塞尔·塞尔 (Seer) 是一个看得见的人.脊柱性脊髓瘤是指脊柱性脊髓瘤.预测生存的预测.

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