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](https://asset.jmir.pub/assets/08aa8ed59e50af8b2e1f2d252bcf2c1a.png 480w,https://asset.jmir.pub/assets/08aa8ed59e50af8b2e1f2d252bcf2c1a.png 960w,https://asset.jmir.pub/assets/08aa8ed59e50af8b2e1f2d252bcf2c1a.png 1920w,https://asset.jmir.pub/assets/08aa8ed59e50af8b2e1f2d252bcf2c1a.png 2500w)
Journals
- 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