Clustering Users Based on Hearing Aid Use: An Exploratory Analysis of Real-World Data

Clustering Users Based on Hearing Aid Use: An Exploratory Analysis of Real-World Data

While the assessment of hearing aid use has traditionally relied on subjective self-reported measures, smartphone-connected hearing aids enable objective data logging from a large number of users. Objective data logging allows to overcome the inaccuracy of self-reported measures. Moreover, data logg...

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Bibliographic Details
Main Authors: Alessandro Pasta, Tiberiu-Ioan Szatmari, Jeppe Høy Christensen, Kasper Juul Jensen, Niels Henrik Pontoppidan, Kang Sun, Jakob Eg Larsen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Digital Health
Subjects:
data logging
user clustering
ensemble classification
hearing aid use amount
hearing aid use patterns
hearing aids
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2021.725130/full

Internet

https://www.frontiersin.org/articles/10.3389/fdgth.2021.725130/full

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