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A machine learning model for the diagnosis of common diseases in adolescents is built based on laboratory test data

A machine learning model for the diagnosis of common diseases in adolescents is built based on laboratory test data

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400093003
Enrollment
Unknown
Registered
2024-11-27
Start date
2024-12-01
Completion date
Unknown
Last updated
2024-12-02

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

Conditions

common diseases in adolescents

Interventions

Trail group:none

Sponsors

Shenzhen Second People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
3 Years to 16 Years

Inclusion criteria

Inclusion criteria: 1. Adolescent inpatients and outpatients in our hospital in the past 10 years; 2. Patients with complete electronic records; 3. Laboratory test data must include blood routine and blood biochemistry.

Exclusion criteria

Exclusion criteria: Patients with unclear diagnosis.

Design outcomes

Primary

MeasureTime frame
Blood routine examination;Biochemistry;—

Countries

China

Contacts

Public ContactSixian Li

Shenzhen Second People's Hospital

531888755@qq.com+86 188 2342 8776

Outcome results

None listed

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