Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Aghaei, S; Celebi, R; Kreuzthaler, M; Schulz, S.
From Clinical Information Systems to Personalized Health Knowledge Graphs.
Stud Health Technol Inform. 2024; 316: 1463-1464.
Doi: 10.3233/SHTI240689
PubMed
FullText
FullText_MUG
- Führende Autor*innen der Med Uni Graz
- Kreuzthaler Markus Eduard
- Co-Autor*innen der Med Uni Graz
- Schulz Stefan
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Scite (citation analytics):
- Abstract:
- This paper presents a versatile solution to formally represent the contents of electronic health records. It is based on the knowledge graph paradigm, and semantic web standards RDF and OWL. It employs the established semantic standards SNOMED CT and FHIR, which warrant international interoperability. A graph-based form is not only useful to feed different target visualizations, but it can also be subject to AI-powered services such as (fuzzy) retrieval and summarization.
- Find related publications in this database (using NLM MeSH Indexing)
- Electronic Health Records - administration & dosage
- Humans - administration & dosage
- Semantic Web - administration & dosage
- Systematized Nomenclature of Medicine - administration & dosage
- Precision Medicine - administration & dosage
- Semantics - administration & dosage
- Computer Graphics - administration & dosage
- Information Storage and Retrieval - administration & dosage