Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood

Schultebraucks, K., Yadav, V., Shalev, A. Y., Bonanno, G. A., & Galatzer-Levy, I. R. (2020). Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood. Psychological Medicine, 52(5), 957–967. https://doi.org/10.1017/s0033291720002718
Authors:
Katharina Schultebraucks
Vijay Yadav
Arieh Y. Shalev
George A. Bonanno
Isaac R. Galatzer-Levy
Affiliated Authors:
Katharina Schultebraucks
George A. Bonanno
Columbia Affiliation:
Author Keywords:
computer vision
deep learning
depression
digital biomarker
emergency department
landmark feature
posttraumatic stress
resilience
voice analysis
key words computer vision
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Publication Type:
Article
Unique ID:
10.1017/S0033291720002718
PMID:
32744201
DOI:
10.1017/S0033291720002718
Journal:
Psychological Medicine
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record
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Record Created: