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...

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Detalles Bibliográficos

Publicado en:	Psychological Medicine Vol. 52; no. 5; pp. 957 - 968
Autores principales:	Schultebraucks, Katharina, Yadav, Vijay, Shalev, Arieh Y., Bonanno, George A., Galatzer-Levy, Isaac R.
Formato:	research tables/charts Journal Article
Publicado:	Cambridge University Press Apr2022
Acceso en línea:	Ver este registro en EBSCOhost