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Updated: Feb 4, 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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大型语言模型和传统机器学习在术后结果预测中的比较:一个回顾性,多国发展和验证研究

Jipyeong Lee1, Hyeonsik Kim2, Luke Kim3

  • 1Healthcare AI Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.

Korean journal of anesthesiology
|February 3, 2026
PubMed
概括

大型语言模型 (LLM) 显示出有希望的可扩展替代方案来预测手术结果,与传统机器学习性能相匹配. 开源LLM以减少计算需求保持效率,支持临床决策支持.

关键词:
急性损伤是什么?急性损伤是什么?临床决策支持系统临床决策支持系统大型语言模型.机器学习是机器学习.死亡率 死亡率 死亡率患者重新入院的情况.在外科手术期间的医学.

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