Knowledge Representation and Management in the Age of Long Covid and Large Language Models: a 2022-2023 Survey.

Yearbook of medical informatics Pub Date : 2024-08-01 Epub Date: 2025-04-08 DOI:10.1055/s-0044-1800747

Jonathan P Bona

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引用次数: 0

Abstract

Objectives: To select, present, and summarize cutting edge work in the field of Knowledge Representation and Management (KRM) published in 2022 and 2023.

Methods: A comprehensive set of KRM-relevant articles published in 2022 and 2023 was retrieved by querying PubMed. Topic modeling with Latent Dirichlet Allocation was used to further refine this query and suggest areas of focus. Selected articles were chosen based on a review of their title and abstract.

Results: An initial set of 8,706 publications were retrieved from PubMed. From these, fifteen papers were ultimately selected matching one of two main themes: KRM for long COVID, and KRM approaches used in combination with generative large language models.

Conclusions: This survey shows the ongoing development and versatility of KRM approaches, both to improve our understanding of a global health crisis and to augment and evaluate cutting edge technologies from other areas of artificial intelligence.

查看原文本刊更多论文

长冠状病毒和大语言模型时代的知识表示与管理：2022-2023年调查。

目的：选择、介绍和总结在2022年和2023年发表的知识表示与管理（KRM）领域的前沿工作。方法：通过检索PubMed检索2022年和2023年发表的krm相关文章。使用潜在狄利克雷分配的主题建模来进一步细化该查询并建议关注的领域。选定的文章是根据对标题和摘要的审查来选择的。结果：从PubMed检索到最初的8,706篇出版物。从中，最终选择了15篇论文，符合两个主要主题之一：长COVID的KRM，以及与生成式大型语言模型结合使用的KRM方法。结论：这项调查显示了KRM方法的持续发展和多功能性，既可以提高我们对全球健康危机的理解，也可以增强和评估来自其他人工智能领域的尖端技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Yearbook of medical informatics Medicine-Medicine (all)

CiteScore

4.10

自引率

0.00%

发文量

期刊介绍： Published by the International Medical Informatics Association, this annual publication includes the best papers in medical informatics from around the world.