Zi Sheng Zhao

A machine learning model based on mPASS and imaging features for early assessment of clinically relevant outcomes in acute pancreatitis

To develop and validate a machine learning (ML) model based on the modified pancreatitis activity scoring system (mPASS) and imaging features for the early assessment of multiple clinically relevant outcomes in acute pancreatitis (AP). A retrospective cohort of 420 AP patients wa...