Actively Recruiting
Evaluation of Pulmonary Complications in Liver Transplantation Patients Based on Machine Learning
Led by West China Hospital · Updated on 2024-08-02
400
Participants Needed
1
Research Sites
21 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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
Official Title
Evaluation of Pulmonary Complications in Liver Transplantation Patients Based on Machine Learning
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Adult patients aged 18 years or older
- Undergoing liver transplantation
You will not qualify if you...
- Re-transplantation
- Multi-organ transplants
- Death during surgery
- Severe encephalopathy (West Haven criteria III or IV)
- Incomplete clinical data
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
West China Hospital, Sichuan University
Chengdu, Sichuan, China, 610041
Actively Recruiting
Research Team
C
Chun ling Jiang, PhD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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