Analyzing Distributed Medical Data in FAIR Data Spaces-Reference-Cited by-同舟云学术

Analyzing Distributed Medical Data in FAIR Data Spaces

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2023
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Author:

Jaberansary Mehrshad¹^ORCID,Maia Macedo²^ORCID,Ucer Yediel Yeliz³^ORCID,Beyan Oya⁴^ORCID,Kirsten Toralf²^ORCID

Affiliation:

1. Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany

2. Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Germany

3. Fraunhofer Institute for Applied Information Technology (FIT), Germany and Information Systems and Database Technology Research Group, RWTH Aachen University, 52062 Aachen, Germany, Germany

4. Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany and Fraunhofer Institute for Applied Information Techniques (FIT), Germany

Funder

Bundesministerium für Bildung und Forschung

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543873.3587663

Reference9 articles.

1. 2019. ISIC Challenge 2019. Retrieved Feburary 17, 2023 from https://challenge.isic-archive.com/landing/2019

2. Distributed Analytics on Sensitive Medical Data: The Personal Health Train

3. Data Spaces: Design, Deployment, and Future Directions

4. Yongli Mou, Sascha Welten, Mehrshad Jaberansary, Yeliz Ucer Yediel, Toralf Kirsten, Stefan Decker, and Oya Beyan. 2021. Distributed skin lesion analysis across decentralised data sources. In Public Health and Informatics. IOS Press, 352–356.

5. The Evolution of Data Spaces

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