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Evaluation of Pulmonary Complications in Liver Transplantation Patients Based on Machine Learning
Sponsor: West China Hospital
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.
Official title: Establishment and Evaluation of Moderate-severe Prediction Model of Pulmonary Complications in Liver Transplantation Patients Based on Machine Learning Algorithm
Key Details
Gender
All
Age Range
18 Years - 80 Years
Study Type
OBSERVATIONAL
Enrollment
400
Start Date
2024-07-15
Completion Date
2024-12-15
Last Updated
2024-08-02
Healthy Volunteers
No
Conditions
Locations (1)
West China Hospital, Sichuan University
Chengdu, Sichuan, China