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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Korean Neuropsychiatric Association
2018
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| Materias: | |
| 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 |