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A Machine Learning-Based Model to Predict Sleep Disorders: A Clinical Study in the Anesthesia-Sleep Clinic

A Machine Learning-Based Model to Predict Sleep Disorders: A Clinical Study in the Anesthesia-Sleep Clinic

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500112862
Enrollment
Unknown
Registered
2025-11-20
Start date
2025-12-01
Completion date
Unknown
Last updated
2025-11-24

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

Conditions

Sleep Disorders

Interventions

Sleep Disorders group:none

Sponsors

Jiangyin People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: A cohort of insomnia patients from the Anesthesia-Sleep Clinic

Exclusion criteria

Exclusion criteria: 1. Has a mental illness; 2. Patients who are uncooperative.

Design outcomes

Primary

MeasureTime frame
Pittsburgh Sleep Quality Index Score;—

Secondary

MeasureTime frame
Demographic Characteristics;—

Countries

China

Contacts

Public ContactLiu Wanchao

Jiangyin People's Hospital

975886026@qq.com+86 183 6120 5651

Outcome results

None listed

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