Development of Machine-Learning Models for Tinnitus-Related Distress Classification Using Wavelet-Transformed Auditory Evoked Potential Signals and Clinical Data

Tinnitus is a highly prevalent condition, affecting more than 1 in 7 adults in the EU and causing negative effects on sufferers’ quality of life. In this study, we utilised data collected within the “UNITI” project, the largest EU tinnitus-related research programme. Initially, we extracted characte...

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Detalles Bibliográficos
Autores principales: Manta, Ourania, Sarafidis, Michail, Schlee, Winfried, Mazurek, Birgit, Matsopoulos, George K., Koutsouris, Dimitrios D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10253417/
https://www.ncbi.nlm.nih.gov/pubmed/37298037
http://dx.doi.org/10.3390/jcm12113843

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10253417/
https://www.ncbi.nlm.nih.gov/pubmed/37298037
http://dx.doi.org/10.3390/jcm12113843

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