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A New Regression Model for Depression Severity Prediction Based on Correlation among Audio Features Using a Graph Convolutional Neural Network

Recent studies have revealed mutually correlated audio features in the voices of depressed patients. Thus, the voices of these patients can be characterized based on the combinatorial relationships among the audio features. To date, many deep learning–based methods have been proposed to predict the...

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Detalles Bibliográficos
Autores principales:	Ishimaru, Momoko, Okada, Yoshifumi, Uchiyama, Ryunosuke, Horiguchi, Ryo, Toyoshima, Itsuki
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Brief Report
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955540/ https://www.ncbi.nlm.nih.gov/pubmed/36832211 http://dx.doi.org/10.3390/diagnostics13040727

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