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.
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At a Glance
Age
18 – 80
Sex
Any
Study type
Observational
Participants needed
400 (estimated)
Sponsor
West China Hospital · Other
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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
Contacts

Chun ling Jiang, PhD

+8602885423593

jiang_chunling@yahoo.com

CONTACT