Cargando…
Predictive models for cochlear implant outcomes: Performance, generalizability, and the impact of cohort size
While cochlear implants have helped hundreds of thousands of individuals, it remains difficult to predict the extent to which an individual’s hearing will benefit from implantation. Several publications indicate that machine learning may improve predictive accuracy of cochlear implant outcomes compa...
Autores principales: | Shafieibavani, Elaheh, Goudey, Benjamin, Kiral, Isabell, Zhong, Peter, Jimeno-Yepes, Antonio, Swan, Annalisa, Gambhir, Manoj, Buechner, Andreas, Kludt, Eugen, Eikelboom, Robert H., Sucher, Cathy, Gifford, Rene H., Rottier, Riaan, Plant, Kerrie, Anjomshoa, Hamideh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764462/ https://www.ncbi.nlm.nih.gov/pubmed/34903103 http://dx.doi.org/10.1177/23312165211066174 |
Ejemplares similares
-
A MultiCenter Analysis of Factors Associated with Hearing Outcome for
2,735 Adults with Cochlear Implants
por: Goudey, Benjamin, et al.
Publicado: (2021) -
A sound coding strategy based on a temporal masking model for cochlear implants
por: Kludt, Eugen, et al.
Publicado: (2021) -
Evaluation of Remote Check: A Clinical Tool for Asynchronous Monitoring and Triage of Cochlear Implant Recipients
por: Maruthurkkara, Saji, et al.
Publicado: (2021) -
Analysis of a Cochlear Implant Database: Changes in Tinnitus
Prevalence and Distress After Cochlear Implantation
por: Assouly, Kelly K. S., et al.
Publicado: (2022) -
Clinical Validation of a Sound Processor Upgrade in Direct Acoustic Cochlear Implant Subjects
por: Kludt, Eugen, et al.
Publicado: (2017)