Acoustic and language analysis of speech for suicidal ideation among US veterans

Acoustic and language analysis of speech for suicidal ideation among US veterans

Background: Screening for suicidal ideation in high-risk groups such as U.S. veterans is crucial for early detection and suicide prevention. Currently, screening is based on clinical interviews or self-report measures. Both approaches rely on subjects to disclose their suicidal thoughts. Innovative...

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Bibliographic Details
Main Authors: Alaoui, A. (Author), Allen, N. (Author), Belouali, A. (Author), Dutton, M.A (Author), Gupta, S. (Author), Reinhard, M.J (Author), Sourirajan, V. (Author), Yu, J. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
acoustics
adult
area under the curve
Article
audio recording
classifier
controlled study
demography
ensemble feature selection
feature selection
follow up
human
language
learning algorithm
linguistics
machine learning
male
mobile application
Patient Health Questionnaire 9
random forest
receiver operating characteristic
self report
sensitivity and specificity
speech analysis
speech discrimination
suicidal ideation
task performance
United States
veteran
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