Faculty, Staff and Student Publications
Publication Date
8-1-2024
Journal
Yearbook of Medical Informatics
Abstract
Objectives: We aim to identify, select, and summarize the best papers published in 2023 for the Knowledge Representation and Management (KRM) section of the International Medical Informatics Association (IMIA) Yearbook.
Methods: We performed PubMed queries and adhered to the IMIA Yearbook guidelines for conducting biomedical informatics literature review to select the best papers in KRM published in 2023.
Results: Our search yielded a total of 1,666 publications from PubMed. From these, we identified 15 papers as potential candidates for the best papers, and three of them were finally selected as the best papers in the KRM section. The candidate best papers covered three main topics: knowledge graph, knowledge interoperability, and ontology. Notably, two of the three selected best papers explored the potential of knowledge graph embeddings for predicting intensive care unit readmissions and measuring disease distances, respectively.
Conclusions: The selection process for the best papers in the KRM section for 2023 showcased a wide spectrum of topics, with knowledge graph embeddings emerging as a promising area for supporting machine learning applications in biomedicine.
Keywords
Medical Informatics, Machine Learning, Humans, Biological Ontologies, Health Information Interoperability, Knowledge Representation and Management, Knowledge Graph, Ontology, International Medical Informatics Association
DOI
10.1055/s-0044-1800748
PMID
40199309
PMCID
PMC12020553
PubMedCentral® Posted Date
4-8-2025
PubMedCentral® Full Text Version
Post-print
Published Open-Access
yes