LLMs detect depression outcomes
Published in Journal of the American Medical Informatics Association, 2024
LLM-based classification models could identify outcomes important to adolescents, such as friendships or academic and vocational functioning, in text transcripts of patient interviews. By using clinical data, we also aim to better generalize to clinical settings compared to studies based on public social media data.
Recommended citation: Xin AW, Nielson DM, Krause KR, Fiorini G, Midgley N, Pereira F, Lossio-Ventura JA. Using large language models to detect outcomes in qualitative studies of adolescent depression. Journal of the American Medical Informatics Association. 2024 Dec 11;ocae298.
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