Audiometric Phenotypes of Noise-Induced Hearing Loss by Data-Driven Cluster Analysis and Their Relevant Characteristics

Audiometric Phenotypes of Noise-Induced Hearing Loss by Data-Driven Cluster Analysis and Their Relevant Characteristics

Background: The definition of notched audiogram for noise-induced hearing loss (NIHL) is presently based on clinical experience, but audiometric phenotypes of NIHL are highly heterogeneous. The data-driven clustering of subtypes could provide refined characteristics of NIHL, and help identify indivi...

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Bibliographic Details
Main Authors: Qixuan Wang, Minfei Qian, Lu Yang, Junbo Shi, Yingying Hong, Kun Han, Chen Li, James Lin, Zhiwu Huang, Hao Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Medicine
Subjects:
noise-induced hearing loss
audiometric phenotype
notched audiogram
unsupervised learning
data-driven cluster analysis
multivariate characteristics
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.662045/full

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https://www.frontiersin.org/articles/10.3389/fmed.2021.662045/full

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