Corrigendum to Studying Privacy Aspects of Learned Knowledge Bases in the Context of Synthetic and Medical Data.

Journal: Studies in health technology and informatics
Published Date: Sep 3, 2025

Abstract

This is a corrigendum to our GMDS 2024 article "Studying Privacy Aspects of Learned Knowledge Bases in the Context of Synthetic and Medical Data", published in Studies in Health Technology and Informatics, Volume 317 (IOS Press). The corrigendum improves the readability of the article and has no implications regarding the results or the conclusions of the original work.

Authors

  • Xenia Heilmann
    Institute of Computer Science, Johannes Gutenberg University, Mainz, Germany.
  • Valentin Henkys
    Institute of Computer Science, Johannes Gutenberg University, Mainz, Germany.
  • Daan Apeldoorn
    Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Germany.
  • Konstantin Strauch
    Institute of Genetic Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany and Institute of Medical Informatics, Biometry, and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.
  • Bertil Schmidt
  • Timm Lilienthal
    Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany.
  • Torsten Panholzer
    Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Germany.

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