Deep Learning-based detection of psychiatric attributes from German mental health records.

Journal: International journal of medical informatics
Published Date: Feb 22, 2022

Abstract

BACKGROUND: Health care records provide large amounts of data with real-world and longitudinal aspects, which is advantageous for predictive analyses and improvements in personalized medicine. Text-based records are a main source of information in mental health. Therefore, application of text mining to the electronic health records - especially mental state examination - is a key approach for detection of psychiatric disease phenotypes that relate to treatment outcomes.

Authors

  • Sumit Madan
    Fraunhofer Institute for Algorithms and Scientific Computing, Schloss Birlinghoven, Sankt Augustin, Germany sumit.madan@scai.fraunhofer.de juliane.fluck@scai.fraunhofer.de.
  • Fabian Julius Zimmer
    Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany.
  • Helena Balabin
    Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Schloss Birlinghoven, 53757 Sankt Augustin, Germany.
  • Sebastian Schaaf
    HPC and Scientific Computing, German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany.
  • Holger Fröhlich
    Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin 53757, Germany.
  • Juliane Fluck
    Fraunhofer Institute for Algorithms and Scientific Computing, Schloss Birlinghoven, Sankt Augustin, Germany sumit.madan@scai.fraunhofer.de juliane.fluck@scai.fraunhofer.de.
  • Irene Neuner
    Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany.
  • Klaus Mathiak
    Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany.
  • Martin Hofmann-Apitius
    Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, 53754, Sankt Augustin, Germany.
  • Pegah Sarkheil
    Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany; Department of Psychiatry and Psychotherapy, University of Münster, 48149 Münster, Germany.

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