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Updated: Jul 16, 2026

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使用新型机器学习模型对HER2-低乳腺癌患者的预后预测

Yilun Li1,2, Xiaolu Yang1,2, Li Ma3

  • 1Department of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, China.

BMC cancer
|November 29, 2024
PubMed
概括

一个新的机器学习模型准确地预测了HER2-低乳腺癌 (HLBC) 患者的预后. 它确定了关键因素,如淋巴结状况和P53突变与较差的结果相关,有助于临床决策.

关键词:
低HER2水平的乳腺癌 (HLBC)机器学习 (ML) 是指机器学习.预测 预后 预测 预测随机生存森林 (RSF) 是一个随机生存森林.

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