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Online Machine Learning Audiometry.
Barbour, Dennis L; Howard, Rebecca T; Song, Xinyu D; Metzger, Nikki; Sukesan, Kiron A; DiLorenzo, James C; Snyder, Braham R D; Chen, Jeff Y; Degen, Eleanor A; Buchbinder, Jenna M; Heisey, Katherine L.
  • Barbour DL; Laboratory of Sensory Neuroscience and Neuroengineering, Department of Biomedical Engineering, Washington University in St. Louis, Missouri, USA.
  • Howard RT; Laboratory of Sensory Neuroscience and Neuroengineering, Department of Biomedical Engineering, Washington University in St. Louis, Missouri, USA.
  • Song XD; Program in Audiology and Communication Sciences, Department of Otolaryngology, Washington University School of Medicine, St. Louis, Missouri, USA.
  • Metzger N; Laboratory of Sensory Neuroscience and Neuroengineering, Department of Biomedical Engineering, Washington University in St. Louis, Missouri, USA.
  • Sukesan KA; Laboratory of Sensory Neuroscience and Neuroengineering, Department of Biomedical Engineering, Washington University in St. Louis, Missouri, USA.
  • DiLorenzo JC; Laboratory of Sensory Neuroscience and Neuroengineering, Department of Biomedical Engineering, Washington University in St. Louis, Missouri, USA.
  • Snyder BRD; Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Chen JY; Laboratory of Sensory Neuroscience and Neuroengineering, Department of Biomedical Engineering, Washington University in St. Louis, Missouri, USA.
  • Degen EA; Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Buchbinder JM; Laboratory of Sensory Neuroscience and Neuroengineering, Department of Biomedical Engineering, Washington University in St. Louis, Missouri, USA.
  • Heisey KL; Laboratory of Sensory Neuroscience and Neuroengineering, Department of Biomedical Engineering, Washington University in St. Louis, Missouri, USA.
Ear Hear ; 40(4): 918-926, 2019.
Article en En | MEDLINE | ID: mdl-30358656
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Audiometría de Tonos Puros / Internet / Aprendizaje Automático / Pérdida Auditiva Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2019 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Audiometría de Tonos Puros / Internet / Aprendizaje Automático / Pérdida Auditiva Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2019 Tipo del documento: Article