Accurate prediction of acute pancreatitis severity with integrative blood molecular measurements

Background null Early diagnosis of severe acute pancreatitis (SAP) is essential to minimize its mortality and improve prognosis. We aimed to develop an accurate and applicable machine learning predictive model based on routine clinical testing results for stratifying acute pancreatitis (AP) severity. null Results null We identified 11 markers predictive of AP severity and trained an AP stratification model called APSAVE, which classified AP...