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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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| 出版年: | PLoS One |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6546232/ https://ncbi.nlm.nih.gov/pubmed/31158267 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0217790 |
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