Background: Current approaches to predicting intervention needs and mortality have
reached 65–85% accuracy, which falls below clinical decision-making requirements in …

Title: A Systematic Review of Machine Learning-based Prognostic Models for Acute
Pancreatitis: Towards Improving Methods and Reporting Quality Background: An accurate …

Background Acute pancreatitis (AP) with critical illness is linked to increased morbidity and
mortality. Current risk scores to identify high-risk AP patients have certain limitations …

Objective To develop and validate a prediction model for predicting in-hospital mortality in
patients with acute pancreatitis (AP). Design A retrospective observational cohort study …

Background: Acute pancreatitis (AP) varies in severity, prompting development of systems
aimed at predicting prognosis to help guide therapy. Although several prediction …

Background: Identification of patients at risk for mortality early in the course of acute
pancreatitis (AP) is an important step in improving outcome. Methods: Using Classification …

BACKGROUND: Acute pancreatitis (AP) is a complex and heterogeneous disease. We
aimed to design and validate a prognostic nomogram for improving the prediction of short …

The clinical course of acute pancreatitis (AP) can be variable depending on the severity of
the disease, and it is crucial to predict the probability of organ failure to initiate early …

Background Predicting the severity of acute pancreatitis (AP) early poses a challenge in
clinical practice. While there are well-established clinical scoring tools, their actual predictive …

Introduction Acute pancreatitis (AP) is a common clinical pancreatic disease. Patients with
different severity levels have different clinical outcomes. With the advantages of algorithms …