知识表示和管理:2023年亮点和知识图嵌入的兴起
Jean Charlet1,2, Licong Cui3,
1Sorbonne Université, INSERM, Univ Sorbonne Paris Nord, LIMICS, Paris, France.
Yearbook of medical informatics
|April 8, 2025
概括
这项研究确定了从2023年起的前三个知识代表和管理论文. 知识图嵌入显示了机器学习在生物医学中的前景.
科学领域:
- 生物医学信息学 生物医学信息学
- 知识表示与管理 (KRM)
背景情况:
- 国际医学信息学协会 (IMIA) 年鉴每年都会强调生物医学信息学的关键进展.
- 选择最具影响力的知识代表和管理 (KRM) 研究对于跟踪进展至关重要.
研究的目的:
- 为了确定,选择和总结2023年发表的最佳KRM论文,用于IMIA年鉴.
- 提供KRM的重大研究趋势的概述.
主要方法:
- 对2023年的出版物进行了全面的PubMed搜索.
- 应用IMIA年鉴指南,用于文献审查和论文选择.
- 缩小了1666个出版物到KRM前三名的论文.
主要成果:
- 在1666个初始出版物中,选出了三个优秀的论文.
- 关键话题包括知识图,知识互操作性和本体学.
- 两个选定的论文重点关注知识图嵌入用于临床应用的知识图,如再入院预测和疾病距离测量.
结论:
- 知识图嵌入是KRM的一个重要和有前途的领域.
- 这项研究支持机器学习应用在生物医学中的进步.
- 选择的论文反映了KRM研究的动态性质.
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