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A Hybrid Deep Learning Approach to Identify Preventable Childhood Hearing Loss

OBJECTIVE: Childhood hearing loss has well-known, lifelong consequences. Infection-related hearing loss disproportionately affects underserved communities yet can be prevented with early identification and treatment. This study evaluates the utility of machine learning in automating tympanogram clas...

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Detalles Bibliográficos
Autores principales:	Jin, Felix Q., Huang, Ouwen, Kleindienst Robler, Samantha, Morton, Sarah, Platt, Alyssa, Egger, Joseph R., Emmett, Susan D., Palmeri, Mark L.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Lippincott Williams & Wilkins 2023
Materias:	Inclusion, Diversity, Equity, Accessibility Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426782/ https://www.ncbi.nlm.nih.gov/pubmed/37318215 http://dx.doi.org/10.1097/AUD.0000000000001380

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