Speech-based markers for posttraumatic stress disorder in US veterans.

ABSTRACT:

Background

The diagnosis of posttraumatic stress disorder (PTSD) is usually based on clinical interviews or self-report measures. Both approaches are subject to under- and over-reporting of symptoms. An objective test is lacking. We have developed a classifier of PTSD based on objective speech-marker features that discriminate PTSD cases from controls.

Methods

Speech samples were obtained from warzone-exposed veterans, 52 cases with PTSD and 77 controls, assessed with the Clinician-Administered PTSD Scale. Individuals with major depressive disorder (MDD) were excluded. Audio recordings of clinical interviews were used to obtain 40,526 speech features which were input to a random forest (RF) algorithm.

Results

The selected RF used 18 speech features and the receiver op

SUBMITTER: Marmar CR 

PROVIDER: S-EPMC6602854 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature