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Updated: Sep 15, 2025

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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机器学习和考克斯回归模型的比较,用于远程转移肝细胞癌患者的预后分析

Hailan Li1, Junbo Wang1, Xin Ming1,2,3

  • 1Department of Epidemiology, School of Public Health, Chongqing Medical University, Chongqing, China.

Surgery open science
|July 14, 2025
PubMed
概括

对于具有远程转移 (DM) 的晚期肝细胞癌 (HCC) 的准确预后至关重要. 考克斯回归和随机生存森林模型在预测生存方面表现强,考克斯回归提供了更好的稳定性.

关键词:
遥远的转移 遥远的转移肝细胞癌是肝细胞癌.机器学习是机器学习.这个名字叫做Nomogram.

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