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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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 |