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Research on an AI-Enabled Speech Emotion Recognition Based Early Warning Model for Suicidal Ideation in College Students

Research on an AI-Enabled Speech Emotion Recognition Based Early Warning Model for Suicidal Ideation in College Students

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500106625
Enrollment
Unknown
Registered
2025-07-28
Start date
2025-08-10
Completion date
Unknown
Last updated
2025-08-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None

Interventions

Suicidal ideation risk group:None
Normal Emotional State Group:None
Material Verification Group:None

Sponsors

Chongqing University Central Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Study Group: 1.Currently registered university students of any gender; 2.SIOSS score >= 12 (Suicide Ideation Self-Rating Inventory); 3.Voluntary participation with written informed consent; 4.Capacity for independent comprehension and protocol compliance. Control Group: 1.Currently registered university students; 2.SIOSS score < 12; 3.Absence of current/past diagnosed mental disorders (ICD-10 F00-F99); 4.Voluntary participation with written informed consent; 5.Capacity for independent comprehension and protocol compliance.

Exclusion criteria

Exclusion criteria: Exclusion Criterion for Study Group:Subjects assessed by counselors or clinical psychologists as obtaining instrumental benefit from expressing suicide ideation.

Design outcomes

Primary

MeasureTime frame
Acoustic Features;—

Secondary

MeasureTime frame
Assessment with the Suicidal Ideation Scale (SIOSS);—

Countries

China

Contacts

Public ContactXiao Jun

Chongqing University Central Hospital

LvMin@cqu.edu.cn+86 133 7072 2007

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026