Evaluation of Pulmonary Complications in Liver Transplantation Patients Based on Machine Learning
Recruiting
Observational Study
Liver Transplantation
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Age
- 18 – 80
- Sex
- Any
- Study type
- Observational
- Participants needed
- 400 (estimated)
- Sponsor
- West China Hospital · Other
Who this trial is looking for
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About This Trial
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.
Trial Locations
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Eligibility Criteria
Inclusion Criteria:
* Adult patients (age ≥ 18 years)
* Undergoing liver transplantation
Exclusion Criteria:
* Re-transplantation
* Multi-organ transplants
* Intra-operative deaths
* severe encephalopathy (West Haven criteria III or IV)
* Incomplete clinical data
Inclusion Criteria:
* Adult patients (age ≥ 18 years)
* Undergoing liver transplantation
Exclusion Criteria:
* Re-transplantation
* Multi-organ transplants
* Intra-operative deaths
* severe encephalopathy (West Haven criteria III or IV)
* Incomplete clinical data