RecruitingNCT06534840
Evaluation of Pulmonary Complications in Liver Transplantation Patients Based on Machine Learning
Establishment and Evaluation of Moderate-severe Prediction Model of Pulmonary Complications in Liver Transplantation Patients Based on Machine Learning Algorithm
Sponsor
West China Hospital
Enrollment
400 participants
Start Date
Jul 15, 2024
Study Type
OBSERVATIONAL
Conditions
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.
Eligibility
Min Age: 18 YearsMax Age: 80 Years
Inclusion Criteria2
- Adult patients (age ≥ 18 years)
- Undergoing liver transplantation
Exclusion Criteria5
- Re-transplantation
- Multi-organ transplants
- Intra-operative deaths
- severe encephalopathy (West Haven criteria III or IV)
- Incomplete clinical data
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Locations(1)
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NCT06534840
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