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Data-Driven Audiogram Classification for Mobile Audiometry

Recent mobile and automated audiometry technologies have allowed for the democratization of hearing healthcare and enables non-experts to deliver hearing tests. The problem remains that a large number of such users are not trained to interpret audiograms. In this work, we outline the development of...

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Detalles Bibliográficos
Autores principales: Charih, François, Bromwich, Matthew, Mark, Amy E., Lefrançois, Renée, Green, James R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7054524/
https://www.ncbi.nlm.nih.gov/pubmed/32127604
http://dx.doi.org/10.1038/s41598-020-60898-3