Trials / Unknown
UnknownNCT06277414
a Prediction of Post-Endoscopic Retrograde Cholangiopancreatography Complication
Machine Learning for the Prediction of Post-Endoscopic Retrograde Cholangiopancreatography Complication Risk
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 2,000 (estimated)
- Sponsor
- The First Affiliated Hospital of University of South China · Academic / Other
- Sex
- All
- Age
- 18 Years – 90 Years
- Healthy volunteers
- Not accepted
Summary
To develop effective preoperative and postoperative prediction models for postoperative complications of ERCP
Detailed description
To develop effective preoperative and postoperative prediction models for postoperative complications of ERCP based on machine learning
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | collection of laboratory test results, imaging results and symptoms | collection of laboratory test results, imaging results and symptoms |
Timeline
- Start date
- 2018-01-01
- Primary completion
- 2024-12-31
- Completion
- 2024-12-31
- First posted
- 2024-02-26
- Last updated
- 2024-02-26
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT06277414. Inclusion in this directory is not an endorsement.