Context-Sensitive Common Data Models for Genetic Rare Diseases - A Concept.

Journal: Studies in health technology and informatics
Published Date:

Abstract

Current challenges of rare diseases need to involve patients, physicians, and the research community to generate new insights on comprehensive patient cohorts. Interestingly, the integration of patient context has been insufficiently considered, but might tremendously improve the accuracy of predictive models for individual patients. Here, we conceptualized an extension of the European Platform for Rare Disease Registration data model with contextual factors. This extended model can serve as an enhanced baseline and is well-suited for analyses using artificial intelligence models for improved predictions. The study is an initial result that will develop context-sensitive common data models for genetic rare diseases.

Authors

  • Najia Ahmadi
    Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.
  • Michele Zoch
    Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.
  • Brita Sedlmayr
    Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.
  • Katharina Schuler
    Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.
  • Waldemar Hahn
    Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.
  • Martin Sedlmayr
    Department of Medical Informatics, Biometrics and Epidemiology, Chair of Medical Informatics, Friedrich-Alexander-University Erlangen-Nuremberg, Wetterkreuz 13, 91058 Erlangen-Tennenlohe, Germany. Electronic address: martin.sedlmayr@fau.de.
  • Markus Wolfien
    Department of Systems Biology and Bioinformatics, Institute of Computer Science, University of Rostock, Rostock, Germany.