Cargando…
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...
Autores principales: | Park, Keon Vin, Oh, Kyoung Ho, Jeong, Yong Jun, Rhee, Jihye, Han, Mun Soo, Han, Sung Won, Choi, June |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Otorhinolaryngology-Head and Neck Surgery
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248600/ https://www.ncbi.nlm.nih.gov/pubmed/32156103 http://dx.doi.org/10.21053/ceo.2019.01858 |
Ejemplares similares
-
Glucocorticoid influence on prognosis of idiopathic sudden sensorineural hearing loss()
por: Bogaz, Eduardo Amaro, et al.
Publicado: (2014) -
Idiopathic Sudden Sensorineural Hearing Loss With Minimal Hearing Impairment
por: Lee, Ho Yun, et al.
Publicado: (2015) -
Idiopathic sudden sensorineural hearing loss in Japan
por: Nakashima, Tsutomu, et al.
Publicado: (2014) -
Prediction of hearing recovery in unilateral sudden sensorineural hearing loss using artificial intelligence
por: Lee, Min Kyu, et al.
Publicado: (2022) -
Outcomes of unilateral idiopathic sudden sensorineural hearing loss: Two decades of experience
por: Xie, Yanjun, et al.
Publicado: (2019)