Predicting the Cochlear Dead Regions Using a Machine Learning-Based Approach with Oversampling Techniques

Background and Objectives: Determining the presence or absence of cochlear dead regions (DRs) is essential in clinical practice. This study proposes a machine learning (ML)-based model that applies oversampling techniques for predicting DRs in patients. Materials and Methods: We used recursive parti...

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Detalles Bibliográficos
Autores principales: Chang, Young-Soo, Park, Hee-Sung, Moon, Il-Joon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625869/
https://www.ncbi.nlm.nih.gov/pubmed/34833410
http://dx.doi.org/10.3390/medicina57111192

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625869/
https://www.ncbi.nlm.nih.gov/pubmed/34833410
http://dx.doi.org/10.3390/medicina57111192

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