Construction of a Predictive Model of Gangrenous Cholecystitis Based on Machine Learning
NCT06399081 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1006
Last updated 2024-05-03
Summary
Gangrenous cholecystitis is the most common complication of acute cholecystitis.
There is no research using machine learning models to construct predictive diagnostic models for gangrenous cholecystitis.
Conditions
- Gangrenous Cholecystitis
Interventions
- OTHER
-
Observational
Observational
Sponsors & Collaborators
-
National Natural Science Foundation of China
collaborator OTHER_GOV -
Dalian Medical University
lead OTHER
Eligibility
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2023-12-01
- Primary Completion
- 2024-03-01
- Completion
- 2024-03-02
Countries
- China
Study Locations
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