EASY‐APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis

B Kui, J Pintér, R Molontay, M Nagy… - Clinical and …, 2022 - Wiley Online Library
Background Acute pancreatitis (AP) is a potentially severe or even fatal inflammation of the
pancreas. Early identification of patients at high risk for developing a severe course of the …

Machine learning can improve prediction of severity in acute pancreatitis using admission values of APACHE II score and C-reactive protein

CB Pearce, SR Gunn, A Ahmed, CD Johnson - Pancreatology, 2006 - karger.com
Background: Acute pancreatitis (AP) has a variable course. Accurate early prediction of
severity is essential to direct clinical care. Current assessment tools are inaccurate, and …

[HTML][HTML] Machine learning predictive models for acute pancreatitis: a systematic review

Y Zhou, Y Ge, X Shi, K Wu, W Chen, Y Ding… - International journal of …, 2022 - Elsevier
Introduction Acute pancreatitis (AP) is a common clinical pancreatic disease. Patients with
different severity levels have different clinical outcomes. With the advantages of algorithms …

An artificial neural networks model for early predicting in‐hospital mortality in acute pancreatitis in MIMIC‐III

N Ding, C Guo, C Li, Y Zhou… - BioMed research …, 2021 - Wiley Online Library
Background. Early and accurate evaluation of severity and prognosis in acute pancreatitis
(AP), especially at the time of admission is very significant. This study was aimed to develop …

Early prediction of acute necrotizing pancreatitis by artificial intelligence: a prospective cohort-analysis of 2387 cases

S Kiss, J Pintér, R Molontay, M Nagy, N Farkas… - Scientific reports, 2022 - nature.com
Pancreatic necrosis is a consistent prognostic factor in acute pancreatitis (AP). However, the
clinical scores currently in use are either too complicated or require data that are …

[HTML][HTML] Early prediction of severe acute pancreatitis using machine learning

R Thapa, Z Iqbal, A Garikipati, A Siefkas, J Hoffman… - Pancreatology, 2022 - Elsevier
Background Acute pancreatitis (AP) is one of the most common causes of gastrointestinal-
related hospitalizations in the United States. Severe AP (SAP) is associated with a mortality …

Automated machine learning for the early prediction of the severity of acute pancreatitis in hospitals

M Yin, R Zhang, Z Zhou, L Liu, J Gao, W Xu… - Frontiers in Cellular …, 2022 - frontiersin.org
Background Machine learning (ML) algorithms are widely applied in building models of
medicine due to their powerful studying and generalizing ability. This study aims to explore …

Prediction of severe acute pancreatitis at admission to hospital using artificial neural networks

B Andersson, R Andersson, M Ohlsson, J Nilsson - Pancreatology, 2011 - karger.com
Abstract Background/Aims: Artificial neural networks (ANNs) are non-linear pattern
recognition techniques, which can be used as a tool in medical decision-making. The aim of …

[HTML][HTML] Acute pancreatitis: A review of diagnosis, severity prediction and prognosis assessment from imaging technology, scoring system and artificial intelligence

JX Hu, CF Zhao, SL Wang, XY Tu… - World Journal of …, 2023 - ncbi.nlm.nih.gov
Acute pancreatitis (AP) is a potentially life-threatening inflammatory disease of the pancreas,
with clinical management determined by the severity of the disease. Diagnosis, severity …

Improving mortality prediction in Acute Pancreatitis by machine learning and data augmentation

MAB Hameed, Z Alamgir - Computers in Biology and Medicine, 2022 - Elsevier
Acute Pancreatitis (AP) is the inflammation of the pancreas that can be fatal or lead to further
complications based on the severity of the attack. Early detection of AP disease can help …