Dynamically Masked Audiograms With Machine Learning Audiometry.

Heisey, Katherine L; Walker, Alexandra M; Xie, Kevin; Abrams, Jenna M; Barbour, Dennis L

Heisey, Katherine L; Walker, Alexandra M; Xie, Kevin; Abrams, Jenna M; Barbour, Dennis L.

Afiliación

Heisey KL; Department of Biomedical Engineering, Laboratory of Sensory Neuroscience and Neuroengineering, Washington University in St. Louis, St. Louis, Missouri, USA.
Walker AM; Department of Biomedical Engineering, Laboratory of Sensory Neuroscience and Neuroengineering, Washington University in St. Louis, St. Louis, Missouri, USA.
Xie K; Program in Audiology and Communication Sciences, Department of Otolaryngology, Washington University School of Medicine, St. Louis, Missouri, USA.
Abrams JM; Department of Biomedical Engineering, Laboratory of Sensory Neuroscience and Neuroengineering, Washington University in St. Louis, St. Louis, Missouri, USA.
Barbour DL; Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, Missouri, USA.

Ear Hear ; 41(6): 1692-1702, 2020.

Article en En | MEDLINE | ID: mdl-33136643

Asunto(s)

Audiometría; Pérdida Auditiva; Adulto; Anciano; Anciano de 80 o más Años; Audiometría de Tonos Puros; Umbral Auditivo; Audición; Pérdida Auditiva/diagnóstico; Humanos; Aprendizaje Automático; Persona de Mediana Edad; Enmascaramiento Perceptual; Adulto Joven

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Audiometría / Pérdida Auditiva Tipo de estudio: Diagnostic_studies / Guideline Límite: Adult / Aged / Aged80 / Humans / Middle aged Idioma: En Revista: Ear Hear Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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