Psycho Analyst, a GPT-4-based model enhanced with DSM-5 and PHQ-8 guidelines, achieved F1 and Macro-F1 scores of 0.929 and 0.949 on the DAIC-WOZ dataset¶
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Evidence · 1 study · designr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly
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q2 i? Psycho Analyst demonstrates high accuracy in detecting mental disorders, evidenced by F1 and Macro-F1 scores of 0.929 and 0.949, validated on the DAIC-WOZ dataset. → Jinwen Tang 2026
Evidence¶
Jinwen Tang 2026¶
Jinwen Tang. (2026). NEW AI-DRIVEN TOOLS FOR ENHANCING CAMPUS WELL-BEING: A PREVENTION AND INTERVENTION APPROACH. Doctoral dissertation, University of Missouri-Columbia. https://arxiv.org/abs/2605.10804 doi:10.48550/arxiv.2605.10804
q2 · i? · design · r2
Evaluation of the Psycho Analyst custom GPT model on the DAIC-WOZ dataset, as summarized in the dissertation's contributions chapter. The model achieved "F1 and Macro-F1 scores of 0.929 and 0.949"; these are accuracy metrics, not standardized effect sizes.
"Enhanced with DSM-5 and PHQ-8, it demonstrates high accuracy in detecting mental disorders, evidenced by F1 and Macro-F1 scores of 0.929 and 0.949. Validated with the DAIC-WOZ dataset, it shows potential for improving mental health diagnostics"
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
psycho-analyst-f1-daic-woz |
title |
Psycho Analyst, a GPT-4-based model enhanced with DSM-5 and PHQ-8 guidelines, achieved F1 and Macro-F1 scores of 0.929 and 0.949 on the DAIC-WOZ dataset |
description |
Psycho Analyst, a GPT-4-based model enhanced with DSM-5 and PHQ-8 guidelines, achieved F1 and Macro-F1 scores of 0.929 and 0.949 on the DAIC-WOZ dataset |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — jinwen-tang-2026 |
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