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Research on Machine Learning based Early Warning Model for Drug Related Problems (DRPs) of Pediatric Xiyanping Injection

Research on Machine Learning based Early Warning Model for Drug Related Problems (DRPs) of Pediatric Xiyanping Injection

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500107537
Enrollment
Unknown
Registered
2025-08-13
Start date
2025-08-13
Completion date
Unknown
Last updated
2025-08-18

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

Conditions

Bronchitis, tonsillitis, bacterial dysentery

Interventions

Model Group:None
Validation group:None

Sponsors

Chengdu Women's and Children's Central Hospital, School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 18 Years

Inclusion criteria

Inclusion criteria: Age=24 hours during hospitalization; No clinical pharmacist intervention

Exclusion criteria

Exclusion criteria: Death cases caused by non pharmacological factors,Participate in other clinical researchers,Patients with missing critical clinical data exceeding 20%

Design outcomes

Primary

MeasureTime frame
Accuracy ;Area Under Curve;—

Secondary

MeasureTime frame
Sensitivity;Incidence of DRPs in children;—

Countries

China

Contacts

Public ContactZhou Xiaoling

Chengdu Women's and Children's Central Hospital, School of Medicine

358763426@qq.com+86 189 8087 3120

Outcome results

None listed

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