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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
Published on: October 13, 2023
From Clinical Information Systems to Personalized Health Knowledge Graphs
Sareh Aghaei1, Remzi Celebi2, Markus Kreuzthaler1
1Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Austria.
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.
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