Detecting Manic State of Bipolar Disorder Based on Support Vector Machine and Gaussian Mixture Model Using Spontaneous Speech

OBJECTIVE: This study was aimed to compare the accuracy of Support Vector Machine (SVM) and Gaussian Mixture Model (GMM) in the detection of manic state of bipolar disorders (BD) of single patients and multiple patients. METHODS: 21 hospitalized BD patients (14 females, average age 34.5±15.3) were r...

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Detalles Bibliográficos
Autores principales: Pan, Zhongde, Gui, Chao, Zhang, Jing, Zhu, Jie, Cui, Donghong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neuropsychiatric Association 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6056700/
https://www.ncbi.nlm.nih.gov/pubmed/29969852
http://dx.doi.org/10.30773/pi.2017.12.15

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6056700/
https://www.ncbi.nlm.nih.gov/pubmed/29969852
http://dx.doi.org/10.30773/pi.2017.12.15

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