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Updated: Jun 7, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

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

Published on: December 6, 2024

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使用大型语言模型从原始和未识别的医疗笔记中抽象出健康的复杂社会决定因素:开发和验证研究

Alexandra Ralevski1,2, Nadaa Taiyab3, Michael Nossal2

  • 1Institute for Systems Biology, Seattle, WA, United States.

Journal of medical Internet research
|November 19, 2024
PubMed
概括

大型语言模型 (LLM) 在临床笔记中显示出确定健康的社会决定因素 (如住房不安全) 的前景. GPT-4实现了比人类更高的回忆力,但手册审查对于患者护理决策至关重要.

关键词:
在这里,我们可以看到AIAIAI.欧洲人权理事会 欧洲人权理事会这是EMR的EMR.在法学士 (LLM) 课程中.在NLP中,我们使用了NLP.人工智能的人工智能是人工智能.取消身份识别 取消身份识别电子健康记录 电子健康记录电子医疗记录 电子医疗记录显露体 显露体 显露体住房是指住房的组成部分.住房不安全性 住房不安全性住房的不稳定性大型语言模型机器学习是机器学习.自然语言处理自然语言处理.产科 产科 产科 产科怀孕 怀孕 怀孕 怀孕 怀孕健康的社会决定因素

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