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Updated: Jul 8, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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纳米图和机器学习方法的比较,用于预测非小细胞肺癌患者的生存率

Haike Lei1, Xiaosheng Li1, Wuren Ma2

  • 1Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment Chongqing University Cancer Hospital Chongqing China.

Cancer innovation
|December 13, 2023
PubMed
概括

与机器学习模型相比,a nomogram在预测非小细胞肺癌 (NSCLC) 患者的整体存活率方面表现出卓越的准确性. 这一发现有助于为NSCLC治疗计划选择最佳的预后工具.

关键词:
机器学习是机器学习.这个名字是名ogramogram.非小细胞肺癌的肺癌.总体存活率 总体存活率预测模型是一个预测模型.

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