STARK STUDY: MACHINE LEARNING APPROACH TO PREDICT POST-ERCP PANCREATITIS IN AN INTERNATIONAL MULTICENTER PROSPECTIVE COHORT STUDY

Published: Apr 1, 2020
Abstract
Aims Post-endoscopic retrograde cholangiopancreatography(ERCP) acute pancreatitis(PEP) is ERCP most frequent complication. Predicting PEP onset risk can be determinant in reducing its incidence. However, studies conducted so far identified single risk factors that have never been used together to predict the risk effectively. The aim of our study was to build a mathematical model to predict PEP probability through machine learning...
Paper Details
Title
STARK STUDY: MACHINE LEARNING APPROACH TO PREDICT POST-ERCP PANCREATITIS IN AN INTERNATIONAL MULTICENTER PROSPECTIVE COHORT STUDY
Published Date
Apr 1, 2020
Journal
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