Predicting speech discrimination scores from pure-tone thresholds—A machine learning-based approach using data from 12,697 subjects

Diagnostic tests for hearing impairment not only determines the presence (or absence) of hearing loss, but also evaluates its degree and type, and provides physicians with essential data for future treatment and rehabilitation. Therefore, accurately measuring hearing loss conditions is very importan...

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Bibliographic Details
Main Authors:	Hantai Kim, JaeYeon Park, Yun-Hoon Choung, Jeong Hun Jang, JeongGil Ko
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2021-01-01
Series:	PLoS ONE
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719684/?tool=EBI

Predicting speech discrimination scores from pure-tone thresholds-A machine learning-based approach using data from 12,697 subjects. by Hantai Kim, JaeYeon Park, Yun-Hoon Choung, Jeong Hun Jang, JeongGil Ko

Published 2021-01-01

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Predicting speech discrimination scores from pure-tone thresholds—A machine learning-based approach using data from 12,697 subjects

Predicting speech discrimination scores from pure-tone thresholds-A machine learning-based approach using data from 12,697 subjects. by Hantai Kim, JaeYeon Park, Yun-Hoon Choung, Jeong Hun Jang, JeongGil Ko

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