Login / Signup

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

Giulia AngoneseMareike BuhlInka KuhlmannBirger KollmeierAndrea Hildebrandt
Published in: JMIR human factors (2024)
This study contributes to the identification of individual characteristics that predict help seeking in older individuals with self-reported hearing loss. Suggestions are made for their implementation in an individual-profiling algorithm and for deriving targeted recommendations in mHealth hearing apps.
Keyphrases
  • hearing loss
  • machine learning
  • mental health
  • deep learning
  • primary care
  • physical activity
  • cancer therapy
  • quality improvement
  • clinical practice
  • drug delivery