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Updated: Feb 14, 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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预测静脉血栓栓塞的机器学习在关节关节整形术后:临床适用性和模型性能系统审查

Junwei Ma1, Huifeng Tang2, Yunshan Zhang2

  • 1School of Nursing, Jilin University, Changchun, China.

JMIR medical informatics
|February 12, 2026
PubMed
概括

在关节置换后预测静脉血栓栓塞的机器学习模型显示出可变的性能和高偏差风险. 外部验证对于这些预测模型的临床适用性至关重要.

关键词:
关节关节整形术 (joint arthroplasty) 是一个关节整形术.机器学习是机器学习.这是一个元分析.系统性审查 系统性审查静脉血栓塞栓症是一种静脉血栓塞栓.

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