Maximising the ability of stimulus-frequency otoacoustic emissions to predict hearing status and thresholds using machine-learning models.
This study aimed to maximise the ability of stimulus-frequency otoacoustic emissions (SFOAEs) to predict hearing status and thresholds based on machine-learning models. SFOAE data and audiometric thresholds were collected at octave frequencies from 0.5 to 8 kHz. Support vector machine, k-nearest nei...
| Publicado en: | International Journal of Audiology Vol. 60; no. 4; pp. 263 - 274 |
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| Autores principales: | , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Apr2021
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| Acceso en línea: | Ver este registro en EBSCOhost |