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Updated: Jan 15, 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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对15个自然语言处理算法的强大比较评估,以从二级护理记录中积极识别患有炎症性肠病的患者

Matt Stammers1,2, Markus Gwiggner3,4, Reza Nouraei2,5

  • 1Department of Gastroenterology and The Southampton Emerging Therapies and Technologies (SETT) Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK m.stammers@soton.ac.uk.

BMJ open gastroenterology
|October 10, 2025
PubMed
概括

评估开源自然语言处理 (NLP) 模型用于识别炎症性肠病 (IBD) 患者,发现虽然像DistilBERT这样的变压器模型表现出高性能,但大型语言模型 (LLM) 尽管目前存在成本和偏差问题,但仍有未来的希望.

关键词:
人工智能的人工智能IBD IBD IBD IBD IBD IBD IBD IBD IBD IBD IBD IBD IBD IBD IBD根据IBD的模型.

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