Predicting Mental Health Status in Remote and Rural Farming Communities: Computational Analysis of Text-Based Counseling.

ABSTRACT:

Background

Australians living in rural and remote areas are at elevated risk of mental health problems and must overcome barriers to help seeking, such as poor access, stigma, and entrenched stoicism. e-Mental health services circumvent such barriers using technology, and text-based services are particularly well suited to clients concerned with privacy and self-presentation. They allow the client to reflect on the therapy session after it has ended as the chat log is stored on their device. The text also offers researchers an opportunity to analyze language use patterns and explore how these relate to mental health status.

Objective

In this project, we investigated whether computational linguistic techniques can be applied to text-based communications with the goal of ident

SUBMITTER: Antoniou M 

PROVIDER: S-EPMC9257613 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature