Abstract Background Large language models (LLMs) are increasingly used to quantify psychological constructs from natural language, yet their outputs are typically evaluated only as predictions of an external label. When that label is itself imperfect, optimizing prediction conflates label agreement with construct measu...
Inyong Jeong, Soohyun Park, M. Jhon et al.· Journal of Medical Internet...· 0 citations
Objective Workers performing emotional labor are at increased risk for depression, yet conventional self-report assessments often lack objectivity and temporal sensitivity. This study aimed to examine whether longitudinal analysis of daily natural language collected through ecological momentary assessment (EMA) can ser...
Hye Hyeon Kim, S. Kim, Dae-Kwang Kim et al.· Psychiatry Investigation· 0 citations
V3-Gemma is developed and evaluated, showing a privacy-preserving, interpretable screening approach aligned with DSM-5 symptom domains, pending validation in larger, more diverse samples.
M. Jhon, Eunkyoung Jeon, Dae-Kwang Kim et al.· Scientific Reports· 0 citations
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