[HTML][HTML] Real-time prediction of organ failures in patients with acute pancreatitis using longitudinal irregular data

J Luo, L Lan, S Huang, X Zeng, Q Xiang, M Li… - Journal of Biomedical …, 2023 - Elsevier
It is extremely important to identify patients with acute pancreatitis who are at high risk for
developing persistent organ failures early in the course of the disease. Due to the irregularity …

[HTML][HTML] Machine learning model identifies aggressive acute pancreatitis within 48 h of admission: a large retrospective study

L Yuan, M Ji, S Wang, X Wen, P Huang, L Shen… - BMC Medical Informatics …, 2022 - Springer
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 …

Predicting timing of surgical intervention using recurrent neural network for necrotizing pancreatitis

J Luo, L Lan, L Peng, M Li, H Lu, D Yang, X Yang… - IEEE …, 2020 - ieeexplore.ieee.org
Previous research focused on the qualitative discussion of the correlation between surgical
time and mortality in acute pancreatitis (AP). Recommendations for surgical timing of …

Prediction of in-hospital mortality of intensive care unit patients with acute pancreatitis based on an explainable machine learning algorithm

W Ren, K Zou, S Huang, H Xu, W Zhang… - Journal of Clinical …, 2024 - journals.lww.com
Methods: Data on patients with AP, including demographics, vital signs, laboratory tests,
comorbidities, treatment, complication, and severity scores, were extracted from the Medical …

[HTML][HTML] Automated machine learning for early prediction of acute kidney injury in acute pancreatitis

R Zhang, M Yin, A Jiang, S Zhang, X Xu… - BMC Medical Informatics …, 2024 - Springer
Background Acute kidney injury (AKI) represents a frequent and grave complication
associated with acute pancreatitis (AP), substantially elevating both mortality rates and the …

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 …

[HTML][HTML] Development and validation of three machine-learning models for predicting multiple organ failure in moderately severe and severe acute pancreatitis

Q Qiu, Y Nian, Y Guo, L Tang, N Lu, L Wen… - BMC …, 2019 - Springer
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-assisted ensemble analysis for the prediction of Acute Pancreatitis with Acute kidney Injury

Y Yang, W Xiao, X Liu, Y Zhang, X Jin… - International Journal of …, 2022 - Taylor & Francis
Purpose Acute kidney injury (AKI) is a frequent complication of severe acute pancreatitis
(AP) and carries a very poor prognosis. The present study aimed to construct a model …

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 …

[HTML][HTML] Use of an artificial neural network to predict persistent organ failure in patients with acute pancreatitis

W Hong, X Chen, S Jin, Q Huang, Q Zhu, J Pan - Clinics, 2013 - SciELO Brasil
MATERIALS AND METHODS A total of 312 patients with acute pancreatitis who were
admitted to the First Affiliated Hospital of Wenzhou Medical College within 72 hours of the …