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Updated: Jul 8, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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对于临床文本分类的深度学习不确定性量化

Alina Peluso1, Ioana Danciu1, Hong-Jun Yoon1

  • 1Oak Ridge National Laboratory, Oak Ridge, TN 37830, United States.

Journal of biomedical informatics
|December 15, 2023
PubMed
概括

新的选择性分类方法提高了癌症注册的深度神经网络 (DNN) 的可靠性. 这些方法实现了高准确度,拒绝率低于现有分类器,减少了手动审查的需求.

关键词:
拒绝的分类者 拒绝的分类者准确度 准确度 准确度 准确度 准确度在美国,CNN是CNN.DNN DNN 在线深度学习是一种深度学习.这就是HisAN.NCI SEER 其他国家病理学报告报告病理学报告.选择性分类是一种选择性分类.文字分类 文本分类 文本分类不确定性量化不确定性的量化.

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