FindTrial
Sign In

Research on Key Technologies of Early Warning Model for recurrent Spontaneous Abortion Based on Deep Learning

Research on Key Technologies of Early Warning Model for recurrent Spontaneous Abortion Based on Deep Learning

Status
Active, not recruiting
Phases
Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300074496
Enrollment
Unknown
Registered
2023-08-08
Start date
2023-09-01
Completion date
Unknown
Last updated
2023-08-21

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

Conditions

recurrent Spontaneous Abortion

Interventions

Case series:None

Sponsors

Chengdu Women's and Children's Central Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
20 Years to 45 Years

Inclusion criteria

Inclusion criteria: Patients with clinical diagnosis of recurrent miscarriage (aged 20-45 years) and patients without adverse pregnancy history (aged 20-45 years)

Exclusion criteria

Exclusion criteria: 1. No family planning within 1 year 2.Women Have mental illness 3. Chromosome abnormalities in both spouses 4. Intimate marriage 5. Having familial genetic diseases 6. Contraindications to pregnancystage.

Design outcomes

Primary

MeasureTime frame
The specificity of diagnostic data;accuracy;—

Countries

China

Contacts

Public ContactFan Lai

Chengdu Women's and Children's Central Hospital

418428212@qq.com+86 159 8237 9910

Outcome results

None listed

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