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Updated: Jun 5, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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不是你正在寻找的模型:传统的ML在临床预测任务中优于LLM

Katherine E Brown1, Chao Yan1, Zhuohang Li2

  • 1Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.

medRxiv : the preprint server for health sciences
|December 16, 2024
PubMed
概括

大型语言模型 (LLM) 在使用电子健康记录 (EHR) 的临床预测任务中显示出比传统机器学习 (ML) 更低的性能和稳定性. 虽然LLM正在改善,但本地ML模型在准确性和隐私弹性方面仍然优越.

关键词:
大型语言模型.临床预测模型的临床预测模型.公平的公平的公平.隐私 隐私 隐私 隐私 隐私 隐私

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