Freely Generated Word Responses Analyzed With Artificial Intelligence Predict Self-Reported Symptoms of Depression, Anxiety, and Worry
APA
Kjell, K., Johnsson, P., & Sikström, S. (2021). Freely Generated Word Responses Analyzed With Artificial Intelligence Predict Self-Reported Symptoms of Depression, Anxiety, and Worry. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2021.602581
BibTeXDownload .bib
@article{kjell2021freely,
title = {{Freely Generated Word Responses Analyzed With Artificial Intelligence Predict Self-Reported Symptoms of Depression, Anxiety, and Worry}},
author = {Katarina Kjell and Per Johnsson and Sverker Sikström},
year = {2021},
journal = {Front. Psychol.},
doi = {10.3389/fpsyg.2021.602581},
url = {https://doi.org/10.3389/fpsyg.2021.602581}
}
Abstract
This study explores the use of question-based computational language assessments (QCLA) to measure mental health symptoms of depression and anxiety through freely generated word responses. Results show that QCLA correlates significantly with DSM-5 criteria for MDD and GAD, suggesting its utility as a complement to rating scales.
