Machine Learning Models for Predicting Hearing Prognosis in Unilateral Idiopathic Sudden Sensorineural Hearing Loss

Machine Learning Models for Predicting Hearing Prognosis in Unilateral Idiopathic Sudden Sensorineural Hearing Loss

Objectives. Prognosticating idiopathic sudden sensorineural hearing loss (ISSNHL) is an important challenge. In our study, a dataset was split into training and test sets and cross-validation was implemented on the training set, thereby determining the hyperparameters for machine learning models wit...

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Bibliographic Details
Main Authors: Keon Vin Park, Kyoung Ho Oh, Yong Jun Jeong, Jihye Rhee, Mun Soo Han, Sung Won Han, June Choi
Format: Article
Language:English
Published: Korean Society of Otorhinolaryngology-Head and Neck Surgery 2020-05-01
Series:Clinical and Experimental Otorhinolaryngology
Subjects:
sudden hearing loss
machine learning
prognosis
prediction
Online Access:http://www.e-ceo.org/upload/pdf/ceo-2019-01858.pdf

Internet

http://www.e-ceo.org/upload/pdf/ceo-2019-01858.pdf

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