Evaluation of Pulmonary Complications in Liver Transplantation Patients Based on Machine Learning

NCT06534840 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 400

Last updated 2024-08-02

No results posted yet for this study

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.

Conditions

  • Liver Transplantation

Sponsors & Collaborators

  • West China Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-07-15
Primary Completion
2024-12-15
Completion
2024-12-15

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06534840 on ClinicalTrials.gov