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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
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Research Data Management in Medical Data Science:Integrating Multi-Source Data for Cardiological Simulations and Machine Learning: Challenges in Security, Privacy, and Legal Frameworks

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 17 Mar 2025 English Publisher:Zenodo
Authors: Singson, Lea Sophie; Becker, Silvia; Silaban, Ely Nova Natalia; Loewe, Axel; Boehm, Franziska;

doi: 10.5281/zenodo.15037434 , 10.5281/zenodo.15037433

Research Data Management in Medical Data Science:Integrating Multi-Source Data for Cardiological Simulations and Machine Learning: Challenges in Security, Privacy, and Legal Frameworks

Abstract

This presentation was given at the E-Science-Tage 2025 at the University of Heidelberg. It highlighted the potential technical and legal challenges, as well as the benefits, of using electrophysiological models, known as digital twins in biomedical engineering, to generate synthetic data such as electrocardiograms.

Related Organizations
Keywords

International law, Biomedical Engineering, FOS: Medical engineering, Data Anonymization/standards, Data protection

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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average