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Updated: Jul 6, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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使用词嵌入神经网络模型测量ICU笔记中的隐含偏差

Julien Cobert1, Hunter Mills2, Albert Lee2

  • 1Anesthesia Service, San Francisco VA Health Care System, University of California, San Francisco, San Francisco, CA; Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, CA.

Chest
|January 10, 2024
PubMed
概括

在临床笔记中存在隐性偏见,根据地点和时间而异. 自然语言处理 (NLP) 模型可能会延续这些偏见,需要为公平的临床预测制定失智化策略.

关键词:
关键护理关键护理 关键护理不公平的不平等性语言学语言学语言学机器学习是机器学习.自然语言处理自然语言处理.

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