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Updated: Jan 12, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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用于识别和规范连续和不连续的表型提及的生成模型和句子转换器:模型开发和评估

Areej Alhassan1,2, Viktor Schlegel1,3, Monira Aloud2

  • 1Department of Computer Science, School of Engineering, University of Manchester, Manchester, United Kingdom.

JMIR medical informatics
|November 5, 2025
PubMed
概括

这项研究介绍了DiscHPO,这是一种从临床笔记中提取遗传表型的系统. 它有效地使连续和不连续的提及正常化,改善了个性化医疗保健中的遗传状况表示.

关键词:
在法学士 (LLM) 课程中.临床信息提取 临床信息提取不连续的NER是不连续的NER人类现象型的本体学.被命名的实体规范化标准化命名实体的认可 命名实体的认可句子变换器 句子变换器

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