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

Internet

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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