Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52310, first published .
Prediction of Hearing Help Seeking to Design a Recommendation Module of an mHealth Hearing App: Intensive Longitudinal Study of Feature Importance Assessment

Prediction of Hearing Help Seeking to Design a Recommendation Module of an mHealth Hearing App: Intensive Longitudinal Study of Feature Importance Assessment

Prediction of Hearing Help Seeking to Design a Recommendation Module of an mHealth Hearing App: Intensive Longitudinal Study of Feature Importance Assessment

Giulia Angonese   1, 2 ;   Mareike Buhl   1, 3 ;   Inka Kuhlmann   1, 2 ;   Birger Kollmeier   1, 4, 5 ;   Andrea Hildebrandt   1, 2, 5

1 Cluster of Excellence Hearing4All, Oldenburg, Germany

2 Psychological Methods and Statistics Lab, Department of Psychology, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany

3 IHU reConnect, Institut de l’Audition, Fondation Pour l'Audition, Inserm, AP-HP, Institut Pasteur, Université Paris Cité, F-75012 Paris, France

4 Department of Medical Physics and Acoustics, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany

5 Research Center Neurosensory Science, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany

Corresponding Author:

  • Giulia Angonese
  • Psychological Methods and Statistics Lab
  • Department of Psychology
  • Carl von Ossietzky Universität Oldenburg
  • Ammerländer Heerstraße 114-118
  • Oldenburg, 26129
  • Germany
  • Phone: 49 0441 798 4629
  • Email: giulia.angonese@uni-oldenburg.de