长期Covid和大型语言模型时代的知识代表和管理:2022-2023年调查调查
1Department of Biomedical Informatics, University of Arkansas for Medical Sciences.
Yearbook of medical informatics
|April 8, 2025
概括
这项研究强调了知识表示和管理 (KRM) 最近的进展. 关键的发现集中在长期COVID的KRM应用及其与生成型大语言模型的集成上.
科学领域:
- 生物医学信息学 生物医学信息学
- 人工智能的人工智能
背景情况:
- 知识表示和管理 (KRM) 对于组织复杂的信息至关重要.
- 人工智能的最新进展需要更新的KRM策略.
研究的目的:
- 调查公布在2022-2023年在KRM的尖端研究.
- 确定KRM领域的关键主题和应用.
主要方法:
- 在PubMed数据库中查询了KRM相关的文章 (2022-2023).
- 隐藏的迪里克莱特分配 (LDA) 主题建模用于查询改进.
- 根据标题和摘要评论进行文章选择.
主要成果:
- 最初检索了8706个出版物.
- 选择了15篇论文,专注于两个主题.
- 主题1:长期COVID的KRM. 主题2:KRM与生成的大型语言模型.
结论:
- KRM的方法表明了持续的发展和多功能性.
- KRM有助于了解像长期COVID这样的全球健康危机.
- KRM增强和评估人工智能技术,包括大型语言模型.
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