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Machine learning-based classification of symptom clusters and matched online cognitive behavior intervention for depression symptom and anxiety symptom

Machine learning-based classification of symptom clusters and matched online cognitive behavior intervention for depression symptom and anxiety symptom

Status
Active, not recruiting
Phases
Phase 1
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2400088805
Enrollment
Unknown
Registered
2024-08-27
Start date
2024-08-30
Completion date
Unknown
Last updated
2024-09-02

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

Conditions

depression and anxiety symptom

Interventions

intervention:Problem-solving therapy-based holistic emotion management interventions matched to individual symptoms
control:Routine psychological care and guidance on mood management

Sponsors

Wuhan Mental Health Center
Lead Sponsor

Eligibility

Sex/Gender
All
Age
16 Years to 64 Years

Inclusion criteria

Inclusion criteria: 1: Meets PHQ-9 and or GAD-7 =5 for baseline measurements 2: Informed consent was given

Exclusion criteria

Exclusion criteria: 1: Presence of suicidal thoughts in entry 9 of the PHQ-9 on any of the psychometric measures 2: Persons with cognitive impairment, impaired consciousness, intellectual disability and inability to communicate 3: Severe cerebral and somatic disorders and psychoactive substance abuse 4: Persons currently suffering from a mental disorder or being treated with antipsychotic medication for a mental disorder 5: Women during pregnancy or within 3 months after delivery.

Design outcomes

Primary

MeasureTime frame
The Patient Health Questionnaire (PHQ-9);7-tiem Generalized Anxiety Disorder Scale,GAD-.7;

Secondary

MeasureTime frame
PSQI scale;WHODAS 2.0;EQ-5D;

Countries

CHINA

Contacts

Public ContactCHEN YIJING

Wuhan Mental Health Center

yijingchen1314@163.com+86 137 9708 0522

Outcome results

None listed

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