XplOit: An Ontology-Based Data Integration Platform Supporting the Development of Predictive Models for Personalized Medicine.

Journal: Studies in health technology and informatics
Published Date: Jan 1, 2018

Abstract

Predictive models can support physicians to tailor interventions and treatments to their individual patients based on their predicted response and risk of disease and help in this way to put personalized medicine into practice. In allogeneic stem cell transplantation risk assessment is to be enhanced in order to respond to emerging viral infections and transplantation reactions. However, to develop predictive models it is necessary to harmonize and integrate high amounts of heterogeneous medical data that is stored in different health information systems. Driven by the demand for predictive instruments in allogeneic stem cell transplantation we present in this paper an ontology-based platform that supports data owners and model developers to share and harmonize their data for model development respecting data privacy.

Authors

  • Gabriele Weiler
    Fraunhofer Institute for Biomedical Engineering, St. Ingbert, Germany.
  • Ulf Schwarz
    Institute for formal ontologies and medical information science.
  • Jochen Rauch
    Fraunhofer Institute for Biomedical Engineering, St. Ingbert, Germany.
  • Kerstin Rohm
    Fraunhofer Institute for Biomedical Engineering, St. Ingbert, Germany.
  • Thorsten Lehr
    Clinical Pharmacy.
  • Stefan Theobald
    Department of Pediatric Oncology and Hematology.
  • Stephan Kiefer
    Fraunhofer Institute for Biomedical Engineering, St. Ingbert, Germany.
  • Katharina Götz
    Clinical Pharmacy.
  • Katharina Och
    Clinical Pharmacy.
  • Nico Pfeifer
    Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Campus E1.4, 66123 Saarbrücken and Saarbrücken Graduate School of Computer Science, Saarland University, 66123 Saarbrücken.
  • Lisa Handl
    University of Tübingen, Germany.
  • Sigrun Smola
    Institute of Virology.
  • Matthias Ihle
    Averbis GmbH, Freiburg, Germany.
  • Amin T Turki
    Department of Bone Marrow Transplantation, West-German Cancer Center, University Hospital Essen, Germany.
  • Dietrich W Beelen
    Department of Bone Marrow Transplantation, West-German Cancer Center, University Hospital Essen, Germany.
  • Jürgen Rissland
    Institute of Virology.
  • Jörg Bittenbring
    Department of Internal Medicine 1, Saarland University, Germany.
  • Norbert Graf
    Paediatric Haematology and Oncology, Saarland University Hospital, Homburg, Germany.

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