DAIC-WOZ
Cross-source consensus on DAIC-WOZ from 1 sources and 4 claims.
1 sources · 4 claims
Risks & contraindications
Evidence quality
Where it comes from
Highlighted claims
- The study used the depression subset of DAIC-WOZ, a clinical interview corpus based on human-computer interactions and virtual interviewer technology. — Recurrence-Based Nonlinear Vocal Dynamics as Digital Biomarkers for Depression Detection from Conversational Speech
- The analyzed labeled subset included 142 participants with binary PHQ-8 depression labels. — Recurrence-Based Nonlinear Vocal Dynamics as Digital Biomarkers for Depression Detection from Conversational Speech
- The dataset was modest in size and class-imbalanced. — Recurrence-Based Nonlinear Vocal Dynamics as Digital Biomarkers for Depression Detection from Conversational Speech
- Evaluation was internal to DAIC-WOZ, so external validation is needed before generalization. — Recurrence-Based Nonlinear Vocal Dynamics as Digital Biomarkers for Depression Detection from Conversational Speech