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Updated: May 23, 2025

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大型语言模型在临床预测任务中效率低于本地训练的机器学习模型

Katherine E Brown1, Chao Yan1, Zhuohang Li2

  • 1Department of Biomedical Informatics, Vanderbilt University Medical Center (VUMC), Nashville, TN 37203, United States.

Journal of the American Medical Informatics Association : JAMIA
|March 8, 2025
PubMed
概括

传统的机器学习 (ML) 在使用电子健康记录 (EHR) 的临床预测任务中明显优于GPT-3.5和GPT-4等大型语言模型 (LLM). 与传统的ML方法相比,LLM在性能,校准和隐私保护方面存在局限性.

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

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