Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood.
Background: Visual and auditory signs of patient functioning have long been used for clinical diagnosis, treatment selection, and prognosis. Direct measurement and quantification of these signals can aim to improve the consistency, sensitivity, and scalability of clinical assessment. Currently, we i...
| Publicado en: | Psychological Medicine Vol. 52; no. 5; pp. 957 - 968 |
|---|---|
| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Cambridge University Press
Apr2022
|
| Acceso en línea: | Ver este registro en EBSCOhost |