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Updated: Mar 12, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
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可解释的机器学习用于预测存活率和风险分层在乳腺癌的老年患者乳腺保护手术后的风险分层

Qingyi Ling1, Zhenhua Sun1

  • 1Department of Thyroid and Breast Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China.

Gland surgery
|March 11, 2026
PubMed
概括

机器学习模型在手术后的老年早期乳腺癌患者中识别出不同的生存组. 这有助于通过分层风险来个性化治疗,可能减少不必要的辅助放射治疗.

关键词:
机器学习是机器学习.沙普利的添加式扩展 (SHAP)乳腺癌 乳腺癌 乳腺癌辐射疗法 辐射疗法风险分层的风险分层.

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