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Updated: Jan 10, 2026

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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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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通过多机器学习算法开发癌症转移相关风险模型,用于预后风险评估和临床应用,用于口腔状细胞癌

Xu Han1,2, Tiantian Sun1,2, Yuanyuan Dai1,2

  • 1Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Jinming Street, Kaifeng, Henan, 475004, China.

Journal of translational medicine
|November 25, 2025
PubMed
概括

这项研究开发了一种使用机器学习的13基因模型,用于预测口腔状细胞癌 (OSCC) 患者的生存率. 该模型识别了高风险患者和潜在的治疗点,改善了癌症预后和治疗策略.

关键词:
没有了,没有了,没有了.皮质 - 介质细胞过渡.机器学习 机器学习分子对接是分子对接.突变的景观 突变的景观口腔状细胞癌的癌症.预测模型的预测建模.瘤的免疫微环境

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