Contributions and limitations of using machine learning to predict noise-induced hearing loss

PURPOSE: Noise-induced hearing loss (NIHL) is a global issue that impacts people’s life and health. The current review aims to clarify the contributions and limitations of applying machine learning (ML) to predict NIHL by analyzing the performance of different ML techniques and the procedure of mode...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Feifan, Cao, Zuwei, Grais, Emad M., Zhao, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238747/
https://www.ncbi.nlm.nih.gov/pubmed/33491101
http://dx.doi.org/10.1007/s00420-020-01648-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238747/
https://www.ncbi.nlm.nih.gov/pubmed/33491101
http://dx.doi.org/10.1007/s00420-020-01648-w

Ejemplares similares