Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech Features

Early intervention for depression is very important to ease the disease burden, but current diagnostic methods are still limited. This study investigated automatic depressed speech classification in a sample of 170 native Chinese subjects (85 healthy controls and 85 depressed patients). The classifi...

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Detalles Bibliográficos
Autores principales: Jiang, Haihua, Hu, Bin, Liu, Zhenyu, Wang, Gang, Zhang, Lan, Li, Xiaoyu, Kang, Huanyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174772/
https://www.ncbi.nlm.nih.gov/pubmed/30344616
http://dx.doi.org/10.1155/2018/6508319

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174772/
https://www.ncbi.nlm.nih.gov/pubmed/30344616
http://dx.doi.org/10.1155/2018/6508319

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