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Research on the auxiliary diagnosis model of depression, bipolar disorder and schizophrenia based on machine learning technology

Research on the auxiliary diagnosis model of depression, bipolar disorder and schizophrenia based on machine learning technology

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200059153
Enrollment
Unknown
Registered
2022-04-26
Start date
2022-06-01
Completion date
Unknown
Last updated
2024-02-19

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

Conditions

Depressive disorder, bipolar disorder, schizophrenia

Interventions

Gold Standard:DSM-V diagnostic criteria for depressive disorder, bipolar disorder, and schizophrenia
Index test:Near-infrared spectrum imaging of prefrontal lobe and bilateral temporal lobe integral values and barycenter values and other brain image indicators

Sponsors

The Second Affiliated Hospital of Xinxiang Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 60 Years

Inclusion criteria

Inclusion criteria: 1. Sign informed consent; 2. Meet the DSM-V diagnostic criteria for depressive disorder, bipolar disorder, or schizophrenia; 3. Have not received electroconvulsive therapy in the past year; 4. Aged 18-60 years; 5. Right-handed; 6. Junior high school or above.

Exclusion criteria

Exclusion criteria: 1. Suffering from serious physical diseases or organic brain diseases, such as abnormal thyroid function, cerebral hemorrhage, hypertension and diabetes; 2. Hearing and visual impairment; 3. Drug, alcohol or other substance abusers; 4. Patients who cannot cooperate with fNIRS examination, scale assessment and cognitive task test.

Design outcomes

Primary

MeasureTime frame
integral value;centroid value;

Countries

China

Contacts

Public ContactWang Huiying

The Second Affiliated Hospital of Xinxiang Medical University

wanghuiyingwing@foxmail.com+86 17734895157

Outcome results

None listed

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