Ontology highlight
ABSTRACT: Background
Frequent interaction with mental health professionals is required to screen, diagnose, and track mental health disorders. However, high costs and insufficient access can make frequent interactions difficult. The ability to assess a mental health disorder passively and at frequent intervals could be a useful complement to the conventional treatment. It may be possible to passively assess clinical symptoms with high frequency by characterizing speech alterations collected using personal smartphones or other wearable devices. The association between speech features and mental health disorders can be leveraged as an objective screening tool.Objective
This study aimed to evaluate the performance of a model that predicts the presence of generalized anxiety disorder (GA
SUBMITTER: Teferra BG
PROVIDER: S-EPMC9652731 | biostudies-literature | 2022 Oct
REPOSITORIES: biostudies-literature