Evaluation of Pulmonary Complications in Liver Transplantation Patients Based on Machine Learning
NCT06534840 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 400
Last updated 2024-08-02
Summary
The main objective of this study is to develop a machine learning model that predicts moderate-severe prediction model of pulmonary complications in liver transplantation patients within 14 postoperative day using a real-world, local preoperative and intraoperative electronic health records, not administrative codes.
Conditions
- Liver Transplantation
Sponsors & Collaborators
-
West China Hospital
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-07-15
- Primary Completion
- 2024-12-15
- Completion
- 2024-12-15
Countries
- China
Study Locations
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