FindTrial
Sign In

Construction of a clinical diagnosis and treatment recommendation system for children's acute drug poisoning based on machine learning

Construction of a clinical diagnosis and treatment recommendation system for children's acute drug poisoning based on machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600128791
Enrollment
Unknown
Registered
2026-07-26
Start date
2024-07-01
Completion date
Unknown
Last updated
2026-08-03

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

Conditions

Drug poisoning

Interventions

retrospective data grope:None
prospective data grope:None

Sponsors

children’hospital capital institute of pediatric
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 18 Years

Inclusion criteria

Inclusion criteria: 1.Children between the ages of 0 and 18; 2.Complete clinical data records; 3.It was diagnosed as acute drug poisoning;

Exclusion criteria

Exclusion criteria: 1.Children who also had symptoms of other serious chronic diseases or acute infections could have affected the study results; 2.Children without access to adequate medical records;

Design outcomes

Primary

MeasureTime frame
Clinical picture;—

Countries

China

Contacts

Public ContactZhuyan Duan

Children’s Hospital Capital Institute Of Pediatric

duanzhuyan@foxmail.com+86 10 85695350

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Aug 10, 2026