Cargando…
A deep learning-based model for detecting depression in senior population
OBJECTIVES: With the attention paid to the early diagnosis of depression, this study tries to use the biological information of speech, combined with deep learning to build a rapid binary-classification model of depression in the elderly who use Mandarin and test its effectiveness. METHODS: Demograp...
Autores principales: | Lin, Yunhan, Liyanage, Biman Najika, Sun, Yutao, Lu, Tianlan, Zhu, Zhengwen, Liao, Yundan, Wang, Qiushi, Shi, Chuan, Yue, Weihua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9677587/ https://www.ncbi.nlm.nih.gov/pubmed/36419976 http://dx.doi.org/10.3389/fpsyt.2022.1016676 |
Ejemplares similares
-
C677T Polymorphism in the MTHFR Gene Is Associated With Risperidone-Induced Weight Gain in Schizophrenia
por: Liao, Jingping, et al.
Publicado: (2020) -
Association of MTHFR C677T Polymorphism With Antipsychotic-Induced Change of Weight and Metabolism Index
por: Su, Yi, et al.
Publicado: (2021) -
Comparison of the probability of four anticonvulsant mood stabilizers to facilitate polycystic ovary syndrome in women with epilepsies or bipolar disorder—A systematic review and meta-analysis
por: Guo, Jing, et al.
Publicado: (2023) -
Automatic depression severity assessment with deep learning using parameter-efficient tuning
por: Lau, Clinton, et al.
Publicado: (2023) -
Polypharmacy and Mental Health Issues in the Senior Hemodialysis Patient
por: Knehtl, Maša, et al.
Publicado: (2022)