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基于全面的机器学习的手术前血液特征预测了卵巢癌的预后

Meixuan Wu1, Sijia Gu1, Jiani Yang2,3

  • 1Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.

BMC cancer
|February 26, 2024
PubMed
概括

一个新的血液风险评分 (BRS) 模型准确地预测了卵巢癌 (OC) 的预后. 这种机器学习方法可以识别具有显著差异的生存结果的患者子组,改进个性化治疗策略.

关键词:
血液的特征 血液的特征 血液的特征机器学习是机器学习.卵巢癌是发生在卵巢中的癌症.预测 预后 预测 预测

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