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Machine Learning for the Prediction of Post-Endoscopic Retrograde Cholangiopancreatography Complication Risk
To develop effective preoperative and postoperative prediction models for postoperative complications of ERCP
To develop effective preoperative and postoperative prediction models for postoperative complications of ERCP based on machine learning
Age
18 - 90 years
Sex
ALL
Healthy Volunteers
No
The First Affiliated Hospital of University of South China
Hengyang, Hunan, China
Start Date
January 1, 2018
Primary Completion Date
December 31, 2024
Completion Date
December 31, 2024
Last Updated
February 26, 2024
2,000
ESTIMATED participants
collection of laboratory test results, imaging results and symptoms
OTHER
Lead Sponsor
The First Affiliated Hospital of University of South China
NCT04408482
NCT07440342
Data Source & Attribution
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Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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View ClinicalTrials.gov Terms and ConditionsNCT07017283