<div class="csl-bib-body">
<div class="csl-entry">Jovanovik, M., Milenkova, E., Jakubowski, M., & Hose, K. (2025). Towards Generating Synthetic EHR Knowledge Graphs – a Probabilistic Approach. In M. Dojchinovski & B. Spahiu (Eds.), <i>Proceedings of the 1st GOBLIN Workshop on Knowledge Graph Technologies</i>. https://doi.org/10.5281/zenodo.16912250</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/219450
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dc.description.abstract
Advances in medical AI and data analytics require large amounts of patient data. Due to privacy concerns, such data is not always available. Synthetic data generation promises a solution to provide the required data despite privacy restrictions. In this paper, we therefore introduce SynMedRDF, an open-source tool to generate synthetic Electronic Health Records. It ensures clinical accuracy by using real-world probabilities and correlations. The data is output as an RDF knowledge graph, enabling structure- and semantics-aware sharing, linking, and analysis.
en
dc.description.sponsorship
European Commission
-
dc.language.iso
en
-
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Synthetic Data
en
dc.subject
Data Generation
en
dc.subject
Knowledge Graphs
en
dc.subject
Electronic Health Records
en
dc.subject
RDF
en
dc.title
Towards Generating Synthetic EHR Knowledge Graphs – a Probabilistic Approach
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.contributor.affiliation
Saints Cyril and Methodius University of Skopje, Republic of North Macedonia
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dc.contributor.editoraffiliation
Czech Technical University in Prague, Czechia
-
dc.contributor.editoraffiliation
University of Milano-Bicocca, Italy
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dc.relation.doi
10.5281/zenodo.16913321
-
dc.relation.grantno
101136244
-
dc.type.category
Full-Paper Contribution
-
tuw.booktitle
Proceedings of the 1st GOBLIN Workshop on Knowledge Graph Technologies
-
tuw.peerreviewed
true
-
tuw.book.chapter
6
-
tuw.project.title
Health virtual twins for the personalised management of stroke related to atrial fibrillation
-
tuw.researchTopic.id
I1
-
tuw.researchTopic.id
I4
-
tuw.researchTopic.id
C5
-
tuw.researchTopic.name
Logic and Computation
-
tuw.researchTopic.name
Information Systems Engineering
-
tuw.researchTopic.name
Computer Science Foundations
-
tuw.researchTopic.value
20
-
tuw.researchTopic.value
60
-
tuw.researchTopic.value
20
-
tuw.linking
https://github.com/etnc/synmed-ehr-generator
-
tuw.publication.orgunit
E192-02 - Forschungsbereich Databases and Artificial Intelligence
-
tuw.publisher.doi
10.5281/zenodo.16912250
-
dc.identifier.libraryid
AC17648115
-
dc.description.numberOfPages
5
-
tuw.author.orcid
0000-0001-7360-8015
-
tuw.author.orcid
0000-0002-7420-1337
-
tuw.author.orcid
0000-0001-7025-8099
-
dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
tuw.editor.orcid
0000-0003-4844-4260
-
tuw.editor.orcid
0000-0002-6958-8215
-
tuw.event.name
The 1st GOBLIN Workshop on Knowledge Graph Technologies (GOBLIN25)
en
dc.description.sponsorshipexternal
GOBLIN COST Action
-
dc.description.sponsorshipexternal
Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, N. Macedonia
-
dc.relation.grantnoexternal
CA23147
-
dc.relation.grantnoexternal
618
-
tuw.event.startdate
12-06-2025
-
tuw.event.enddate
12-06-2025
-
tuw.event.online
On Site
-
tuw.event.type
Event for scientific audience
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tuw.event.place
Leipzig
-
tuw.event.country
DE
-
tuw.event.institution
GOBLIN COST Action
-
tuw.event.presenter
Jakubowski, Maxime
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tuw.event.track
Single Track
-
wb.sciencebranch
Informatik
-
wb.sciencebranch
Mathematik
-
wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
1010
-
wb.sciencebranch.value
80
-
wb.sciencebranch.value
20
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.cerifentitytype
Publications
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item.openairetype
conference paper
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item.fulltext
with Fulltext
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item.mimetype
application/pdf
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item.languageiso639-1
en
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item.grantfulltext
open
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item.openaccessfulltext
Open Access
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crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence
-
crisitem.author.dept
Saints Cyril and Methodius University of Skopje, Republic of North Macedonia
-
crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence
-
crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence
