AIMC Topic: Pancreatitis
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Development and validation of three machine-learning models for predicting multiple organ failure in moderately severe and severe acute pancreatitis.
BMC gastroenterology
Jul 4, 2019
BACKGROUND: Multiple organ failure (MOF) is a serious complication of moderately severe (MASP) and severe acute pancreatitis (SAP). This study aimed to develop and assess three machine-learning models to predict MOF.
Prediction and evaluation of the severity of acute respiratory distress syndrome following severe acute pancreatitis using an artificial neural network algorithm model.
HPB : the official journal of the International Hepato Pancreato Biliary Association
Dec 24, 2018
BACKGROUND: To predict the risk and severity of acute respiratory distress syndrome (ARDS) following severe acute pancreatitis (SAP) by artificial neural networks (ANNs) model.
Artificial neural network algorithm model as powerful tool to predict acute lung injury following to severe acute pancreatitis.
Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]
Sep 26, 2018
OBJECTIVE: The aim of this study is to predict the risk of severe acute pancreatitis (SAP) associated with acute lung injury (ALI) by artificial neural networks (ANNs) model.
Pro-inflammatory cytokines after an episode of acute pancreatitis: associations with fasting gut hormone profile.
Inflammation research : official journal of the European Histamine Research Society ... [et al.]
Dec 29, 2017
INTRODUCTION: Pro-inflammatory cytokines, such as interleukin (IL)-6, tumour necrosis factor (TNF)α, and monocyte chemoattractant protein (MCP)-1, are often elevated in individuals after acute pancreatitis but what determines their levels is poorly u...
Risk Prediction for Portal Vein Thrombosis in Acute Pancreatitis Using Radial Basis Function.
Annals of vascular surgery
Sep 22, 2017
BACKGROUND: Acute pancreatitis (AP) can induce portosplenomesenteric vein thrombosis (PVT), which may generate higher morbidity and mortality. However current diagnostic modalities for PVT are still controversial. In recent decades, artificial neural...
Artificial neural networks predict the incidence of portosplenomesenteric venous thrombosis in patients with acute pancreatitis.
Journal of thrombosis and haemostasis : JTH
Feb 3, 2017
UNLABELLED: Essentials Predicting the occurrence of portosplenomesenteric vein thrombosis (PSMVT) is difficult. We studied 72 patients with acute pancreatitis. Artificial neural networks modeling was more accurate than logistic regression in predicti...
Machine Learning Prediction of Pancreatitis Risk With Antithyroid Drugs: A Nationwide Retrospective Observational Study.
The Journal of clinical endocrinology and metabolism
Jun 17, 2025
BACKGROUND: In recent years, there has been increasing data showing that the risk of acute pancreatitis (AP) is increased in patients using methimazole (MMI). The aim of this population-based study was to investigate the association between drugs use...
Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit.
BMC medical informatics and decision making
May 27, 2025
BACKGROUND: Acute pancreatitis (AP) represents a critical medical condition where timely and precise prediction of in-hospital mortality is crucial for guiding optimal clinical management. This study focuses on the development of advanced machine lea...
Constructing a prediction model for acute pancreatitis severity based on liquid neural network.
Scientific reports
May 13, 2025
Acute pancreatitis (AP) is a common disease, and severe acute pancreatitis (SAP) has a high morbidity and mortality rate. Early recognition of SAP is crucial for prognosis. This study aimed to develop a novel liquid neural network (LNN) model for pre...
Machine learning model-based prediction of postpancreatectomy acute pancreatitis following pancreaticoduodenectomy: A retrospective cohort study.
World journal of gastroenterology
Feb 28, 2025
BACKGROUND: The International Study Group of Pancreatic Surgery has established the definition and grading system for postpancreatectomy acute pancreatitis (PPAP). There are no established machine learning models for predicting PPAP following pancrea...
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