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This paper is in the following e-collection/theme issue:

Design and Usability of Consumer Health Tech and Home Monitoring Devices (429) mHealth for Wellness, Behavior Change and Prevention (4175) mHealth for Screening (440) Emerging Technologies for Rehabilitation (482) Machine Learning (2996) mHealth for Rehabilitation (542) Aging in Place (493) Mobile Devices and Apps for Seniors and Healthy Aging (385) Geroinformatics and Electronic Clinical Information/Decision Making in Geriatrics (102) Shared Decision Making and Self-Advocacy (86)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52310, first published .
Elderly woman with white hair using a smartphone with earbuds

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

Authors of this article:

Giulia Angonese1, 2 Author Orcid Image ;   Mareike Buhl1, 3 Author Orcid Image ;   Inka Kuhlmann1, 2 Author Orcid Image ;   Birger Kollmeier1, 4, 5 Author Orcid Image ;   Andrea Hildebrandt1, 2, 5 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Angonese G, Buhl M, Gößwein J, Kollmeier B, Hildebrandt A. Toward an Extended Classification of Noise-Distortion Preferences by Modeling Longitudinal Dynamics of Listening Choices. Trends in Hearing 2025;29 View
  2. Angonese G, Buhl M, Kuhlmann I, Kollmeier B, Hildebrandt A. Prediction of Hearing Help Seeking to Design a Recommendation Module of an mHealth Hearing App: Intensive Longitudinal Study of Feature Importance Assessment. JMIR Human Factors 2024;11:e52310 View
  3. Lelic D, Fischer R. Importance of Improving Hearing Consistently Predicts Positive Hearing Aid Outcomes in First-Time Users: Insights From a 6-Month Longitudinal Trial. Journal of Speech, Language, and Hearing Research 2026;69(6):2773 View
  4. Warren T, van der Weegen W, Kool R, Hoogendoorn M, Timmers T. Artificial intelligence applications using patient-generated health data for pre-care processes in elective healthcare: a systematic review. International Journal of Medical Informatics 2026;218:106525 View