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Updated: Feb 10, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

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[一个基于机器学习算法的多分子预测模型,用于状甲状腺癌中的淋巴结转移]

Zhijun Zhan1, Lu Chen2, Yan Sun2

  • 1Department of General Surgery, Xiangya Hospital, Central South University, Changsha 410008, China. zhanzhijun@csu.edu.cn.

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
|February 9, 2026
PubMed
概括

这项研究确定了11个关键基因,用于预测乳头甲状腺癌 (PTC) 中的淋巴结转移 (LNM). 使用这些基因的机器学习模型在PTC患者的手术前LNM风险评估中显示出很高的准确性.

关键词:
最小绝对收缩和选择操作员回归分析.淋巴结转移是淋巴结的转移.机器学习是机器学习.皮囊甲状腺癌是什么?皮囊甲状腺癌是什么预测模型 预测模型

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