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Updated: Sep 13, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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提高法国临床笔记分类的变压器性能,使用有限数据集上的专家混合

Thanh-Dung Le1,2, Philippe Jouvet3, Rita Noumeir1

  • 1Biomedical Information Processing Laboratory, École de Technologie SupérieureUniversity of Quebec Quebec City QC G1K 9H6 Canada.

IEEE journal of translational engineering in health and medicine
|July 31, 2025
PubMed
概括

一个新的专家混合 (MoE) 变压器模型有效地分类小的法国临床文本. 这种NLP方法为数据和计算资源有限的医院提供了更快,更可行的替代方案.

关键词:
贝尔特 (BERT) 公司临床自然语言处理 临床自然语言处理混合的专家组合.变压器 变压器 变压器心脏衰竭是因为心脏衰竭.

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