Language Analytics for Assessment of Mental Health Status and Functional Competency.

ABSTRACT:

Background and hypothesis

Automated language analysis is becoming an increasingly popular tool in clinical research involving individuals with mental health disorders. Previous work has largely focused on using high-dimensional language features to develop diagnostic and prognostic models, but less work has been done to use linguistic output to assess downstream functional outcomes, which is critically important for clinical care. In this work, we study the relationship between automated language composites and clinical variables that characterize mental health status and functional competency using predictive modeling.

Study design

Conversational transcripts were collected from a social skills assessment of individuals with schizophrenia (n = 141), bipolar disorder (n = 140

SUBMITTER: Voleti R 

PROVIDER: S-EPMC10031731 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature