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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |