Predicting cochlear dead regions in patients with hearing loss through a machine learning-based approach: A preliminary study

We propose a machine learning (ML)-based model for predicting cochlear dead regions (DRs) in patients with hearing loss of various etiologies. Five hundred and fifty-five ears from 380 patients (3,770 test samples) diagnosed with sensorineural hearing loss (SNHL) were analyzed. A threshold-equalizin...

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Detalles Bibliográficos
Autores principales: Chang, Young-Soo, Park, Heesung, Hong, Sung Hwa, Chung, Won-Ho, Cho, Yang-Sun, Moon, Il Joon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546232/
https://www.ncbi.nlm.nih.gov/pubmed/31158267
http://dx.doi.org/10.1371/journal.pone.0217790

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546232/
https://www.ncbi.nlm.nih.gov/pubmed/31158267
http://dx.doi.org/10.1371/journal.pone.0217790

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