Explaining care need assessment surveys: qualitative and quantitative evaluation of state-of-the-art local and global explainable artificial intelligence methods.

Journal: JAMIA open
Published Date: Jul 29, 2025

Abstract

OBJECTIVE: With extended life expectancy, the number of people in need of care has been growing. To optimally support them, it is important to know the patterns and conditions of their daily life that influence the need for support, and thus, the classification of the care need. In this study, we aim to utilize a large corpus consisting of care benefits applications to do an explorative analysis of factors affecting care need to support the tedious work of experts gathering reliable criteria for a care need assessment.

Authors

  • Necip Oguz Serbetci
    German Research Center for AI (DFKI).
  • Stefan Blüher
    Institut für Medizinische Soziologie und Rehabilitationswissenschaft, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Deutschland.
  • Paul Gellert
    Institute of Medical Sociology and Rehabilitation Science, Charité, Berlin 10117, Germany.
  • Ulf Leser
    Humboldt-Universität zu Berlin, Knowledge Management in Bioinformatics, Berlin, Germany.

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